00:02This conference will now be recorded

00:03Everyone is able to hear me

00:04Okay

00:05Can just confirm

00:06Okay

00:07And you're able to see the screen as well

00:08Perfect

00:10Thanks

00:11Uh Javeed, neat, thanks for joining

00:12Uh, was there a confusion because of the original message? I think so

00:13There's a wrong message

00:15Okay

00:16So it actually comes from, uh, AI only

00:17Okay

00:18So it is, we had two sessions

00:19Okay

00:20One is a 9 PM PMP session

00:2110:30 is an AI session

00:23Okay

00:25It actually gave you the 9 PM

00:27Was there a confusion? Okay

00:29Like, a lot of other people joined, uh, they have not joined today

00:31Maybe that is a confusion, but anyways

00:32Okay

00:33We'll, we'll try to do it

00:34Uh, we'll try to do it, um, every day

00:36Okay

00:37Okay

00:39So, no worries

00:41So, we have started

00:42I'll just put one more message

00:44Okay, then we start so that if anyone wants to take advantage of these sessions, okay, definitely they can, uh, please join

00:49We have started

00:51Perfect

00:53And then we, we will not waste any time now

00:54Okay

00:55Good

00:57Welcome, Dr

01:00Naza, as well

01:03Okay

01:07So quickly, what I will do is, uh, I will just, okay, just give a two-minute introduction about this, okay, what we are trying to do, okay? So we are trying to basically get upgraded on AI, okay? Upgraded on why? Because there's a lot of big confusion

01:10Uh, we had one group, big group called Youth Excellence, okay? So this, this had people who are trying to get jobs, okay? So, in fact, okay, it's a community work which we do, uh, and, um, we wanted to help support people, okay? So we have, we take classes every Saturday, Sunday, okay, uh

01:26This group, okay, I'll just show you this

01:28So we have around, so the group is full, okay

01:30When I'm trying to add a few more people, it's not allowing me to

01:32So this is the group, okay

01:34Youth Excellence, okay

01:35So this one, so and it has around, can you see the members? Okay

01:41So it's, it's full already, okay

01:42So we want to create one more

01:43Uh, we'll create a Telegram group as well, okay

01:44So the idea was, okay, these are, these are the people who are like, uh, who are going for jobs, looking for jobs, okay

01:49These kind of people were there, right? So Nimat, okay, or you are from those kind of groups, Youth with Excellence, or you got it from somebody this link, from somewhere? No, I'm, I'm part of With Excellence

01:52With Excellence

01:55Very good

01:58Okay

02:01So, you are technical, come from a technical background

02:03What is your skill? No, no, no, no

02:06I'm not from technical

02:07I'm from project management

02:10You have project management? Okay

02:13How much experience do you have? Uh, overall 17 years

02:1417 years

02:15Okay

02:16Very good

02:17Okay

02:18So, why I ask this because, okay, I'll try to tailor the session

02:19Okay

02:20Accordingly

02:21Okay

02:21So, technical people there

02:22Okay

02:24We'll talk more technical

02:27Neimat, I think so, is from technical, right? Javeed, I know is Javeed is a very senior, uh, project management professional

02:29He's PMP certified and so many others

02:32Like the way I am, I have got around 80, more than 80 certifications, I would say, okay, on project management and other stuff

02:37AI, maybe 8, 10 certifications

02:40I have, okay, let me show you just to, just to kind of give an introduction, okay? That we are trying to cover the whole landscape of AI, which is very, very, okay, very big

02:48So here, I try to do data scientist, okay? This one, uh, this is from project management, okay? CPM AI, uh, also very comprehensive course

02:58So this is like AI for project managers, okay? This is, was, this was our original target, okay? To help project managers, what they can do, how they can leverage AI, and did something on data engineering from Google, okay? So DataBricks is very good for, uh, from the data side of it, okay? So because most of the problems in the AI projects is on data, okay? So data engineering, okay? So big data architect, okay? Somebody coming from database, he should look for, okay, Databricks or big data kind of certifications

03:04Okay

03:11And then, ji

03:18Okay

03:25I've done a lot of things, other things as well, I keep doing

03:28Okay

03:30So, Microsoft also, I've done a few, uh, but I'm not sure whether I've mentioned it or not

03:33I keep doing it because it's a good knowledge to have

03:35Okay

03:37And, uh, definitely we are looking to, uh, a lot of things I'm doing

03:38Okay

03:39I'll keep showing that now

03:41Okay

03:42So, what we try to do in this session, how, so the problem is, how do you learn AI? Okay

03:43So, how do you learn AI is a, is a big question

03:48Okay

03:53And again, what I, what I think, okay, is, um, what you should do every day is basically, you should look for some AI tools

03:58It should not be the end, okay? It should be a good start, just to excite

03:59You that and show the power of AI

04:01Okay, so you and we, every session, what we'll do, we'll try to touch some AI tools, okay? Some new tools I will touch, okay? Second is, whatever is happening in the latest practical, okay? I will come to the foundations as well, but before that, what is okay happening as the latest, okay? In the, in the on the practical side of it, okay? Yeah

04:07So, sorry, Dr

04:13Nazia, I could not

04:16So, Dr

04:19Nazia comes from good experience, okay? So, more on the project management side is what I understand, right? Yeah

04:23So, we'll take introductions as well, okay? So, in between, I will ask some questions so that, okay, you can also suggest how do you go about it

04:30So, latest practical is what I say is because, see, what happens if I get just stuck in the foundations

04:33Okay

04:36And I, I may take three, six months just to understand the basics

04:38Okay

04:39I get stuck in Python

04:40Okay

04:42Maybe I lose one month

04:43So it's a pro, like it's like, okay, and what will happen is, okay, till you get good knowledge, six months, one year, okay, that the real demand of AI, okay, is basically shrinking

04:47Okay

04:51Today, the, the imbalance is, okay, the demand is very high

04:55Everyone is excited, every company is excited, small or big

04:56The supply is very less

04:59Okay

05:01Why I tell you this is because even I am trying to do, okay, our company is also trying to do, lot of development on AI

05:04We are not able to find people

05:07Okay

05:10Expectation is, say, for example, we want a 10, okay, the people is not even two, level two, okay, from a scale of 0 to 10, zero being low and 10

05:13being high

05:15We expect 10 at least

05:18Okay, safe example, the level, okay? What we are trying to see, okay? Uh, is two

05:20Okay? So again, we cannot give a salary of crores because we are not that big, but in the fair salary also, we are not able to find people

05:28So there is an imbalance, okay? And it, it's an opportunity as well

05:30So high demand and less supply, there's always a chance to negotiate your salaries, okay? And I'll show you the example also, just to give you a little more excite, uh, this one, okay? Encouragement and, uh, this one

05:43So, for example, if you look at my, uh, calendar as well, okay? Every day, we are getting requirements from so many, uh, areas of AI and other project management things as well

05:53Okay? Let me quickly show you that again

05:54This is not to brag

05:56about myself, but I'm saying there are opportunities in the market

05:59People feel, "Okay, AI is shrinking opportunities." Okay, in fact, it's the other way around

06:02So, like, can you see here? So, here, see, for example, okay, this is for some, something like another bank

06:06Okay, they are looking for a PMO setup

06:07Okay, this is a little, little different

06:09Okay

06:10Yeah

06:11Now, okay, there's something for white coding

06:12Can you see this? Okay, so I've given an offer

06:13Okay

06:14Yeah

06:15There is something for PMI infinity

06:18Okay

06:21PMI, one of the, one of the bodies, you know, PMI, PMP, and all the certifications, they have a chatbot called PMI infinity

06:24Companies are asking how to use that tool

06:25Can you give us a training? Okay

06:26Yeah

06:27There is a training

06:28requirement of CPMI

06:29CPM is one of the certifications of AI, okay, for project management, you can say

06:31Yeah

06:33There's a requirement for business analyst, okay

06:34This required for, required so many requirements

06:36Can you see Geni? Accenture, okay

06:38Every other company is trying to, can you see Accenture? Okay

06:42So, agentic AI, okay

06:46So I can show you any number of requirements which are coming in the market, okay

06:47So I'll show you agent

06:49So the agent accent is trying, okay

06:50So whatever I put, okay

06:53So there are so many requirements and this is just, whatever I'm showing is just for the last seven, eight days

06:58Can you see here, July 1 to July 10? So every day, okay, we are getting so many requirements, okay

07:01There is a lot of opportunities

07:03lot of enthusiasm in the market

07:06So this is the time where you have to really put all your effort, okay, and focus, okay

07:10So now, how do you use it? Okay

07:15So try to do these things, okay? Try to look at something as practical, okay? Like if you have heard about V coding, okay, we'll try to use different tools

07:21There are so many tools

07:26Again, start with one tool, okay? Again, don't try to chase all the tools, okay? There are 100 tools for V coding as well, okay? Uh, I can show you that as well

07:32So again, I'm just trying to give you the idea because I am also researching on AI for two years, okay? I've invested like huge time, okay? And every day I spend a lot of time

07:38Now, say, for example, uh, this is what, yeah, so this is your, I was talking

07:48About, yeah, this is your white coding tools

07:50Can you see there are so many? Okay, cursor is there

07:51Okay, and we talked about lovable

07:55Okay, yeah

07:58And what are the, like, what people are using? And this is just like, this one, GitHub is there

08:01Okay, so we'll try to see one by one

08:04Okay, we'll try to see one by one

08:07So, my suggestion again here is, okay, whenever you're using practical tools, what you should do? You should be good at one thing

08:09Okay, good at one thing

08:12Say, for example, okay, AI tools, I, I'm using ChatGPT

08:13Okay, try to use ChatGPT in different, different scenarios

08:21Try to use ChatGPT in different, different scenarios

08:25Okay, say, for example, uh, as I said, okay, how did I use ChatGPT? Okay, most of these responses which I give, okay, these responses

08:29Can you see in one day, okay, July 9th, okay? I have responded maybe four to four, five different trainings

08:36Now, it is mind-blowing, okay? So it's very overwhelming, right? So somebody's asking for a BA training, somebody's asking for a V coding training, okay? Somebody's asking for a chatbot training, okay? Somebody's asking for a CPM training, okay? So it's very, it's very overwhelming, right? To understand, okay, what is the requirements? Give a training content, okay? How would I, how is it possible to do it? And I work for say, eight hours, eight, ten hours I work, okay? I'm able to manage how I'm using chat

08:56I'm using other tools, okay? I'm using other tools

09:00I can show you all the things which I do is basically from ChatGPT

09:04Okay, again, not even chip

09:07I have used another 45 tools as well, but just try to stick with one tool at least

09:08Okay

09:10So, what is I use? Okay

09:11So, let me show you a few examples

09:12Okay

09:14Again, maybe it's a repeat for some people

09:15Okay

09:16Okay

09:16So, I think we are new people here

09:17So, whatever you do, okay, if you try to use chat again, okay, a paid version

09:19Okay

09:21Start with a free version

09:23Okay

09:24And then, when you basically, you are exhausting the limits

09:25Okay

09:26Then you go for a paid version

09:27Okay

09:29$20 per month

09:30Um, but start using the free version

09:30Okay

09:31Use it a lot

09:32That means, okay, you should be very comfortable

09:33You try to put it on the mobile as well

09:35Okay

09:37Put the chat GPT installed on the mobile as well

09:39Okay

09:41So that you're using it

09:43Say for Example, okay? How do I use chat in the last one hour? How did I use chat? I just showed you that

09:44So whatever you do, okay, especially if you're doing a lot of different things, okay, ChatGPT and these kinds of tools are very helpful

09:51Other tools means, okay, you can go to Perplexity for research, Claude for anything like coding and all

09:55We'll see Claude as well now, okay? So anything you're doing, okay, these tools are helpful

10:00Okay? And then Microsoft Copilot is there, Bing is there, Bard is there

10:01Okay, there are so many

10:03Okay

10:04So yeah, but start with one

10:06Okay

10:08Once you have a grip on one tool, okay, then it is replicable

10:09Okay

10:11So it is more or less the same or similar tools

10:13Okay

10:16Say, for example, I gave you a message, right? So, daily AI uh session message

10:18If I just give it this much, okay, it will give me this

10:20Okay

10:22Can you see this? I just copied this message

10:25If I want to write this message by my own, it'll take 10 minutes

10:26Okay

10:28Can you see? It has given it

10:29It has a context of everything

10:31Okay

10:32We have a daily session of PMP as well

10:33Okay

10:35Daily PMP session message

10:36I just write this

10:37Okay

10:39It'll give me a daily PMP session message

10:41Okay

10:43Yeah

10:45So, can you see? So, with the exact, because I have, I have kind of, you can say, trained it, or it's in the context

10:47Okay

10:49So, say, for example, okay, one person, okay, missed the PMP exam today

10:50Okay

10:51Because of the train in the in the in between only

10:53So, I asked it, can you give me, okay, message? Okay

10:58To PMI, okay, for missed

11:02PMP exam

11:07So earlier it was very frustrating because I had to respond to say, 10, 20 mails

11:10Can you see it has, it has given me a message, okay? And this is what I have mailed

11:15Okay, now we have mailed that

11:16Okay

11:18I was talking to the same person who missed the exam today

11:19Okay

11:20Yeah

11:21So, and you can do a lot of stuff with this

11:23Okay

11:25Can you see sometimes you cancel the AI session? Okay

11:26So I'll say, okay, uh, uh, AI session cancelled message because, uh, we sometimes there's a schedule clash

11:30Okay

11:33Yeah

11:37Can you see? Is it good, everyone? So again, I'm not showing any magic

11:38Okay

11:40It is very simple

11:42Okay

11:43But what I'm trying to show you is, okay, this is really powerful

11:45If you respond to 100 mails, okay, say it takes three, four hours

11:47You can do it in, in an, in an hour

11:49You can do

11:50It in an hour

11:52Okay

11:53If you're not using these tools, okay, you should use these tools

11:54Okay

11:55And you can, uh, I can make it up

11:57So, can you say, "Level up"? Okay

11:59I'll say, "Level up 10." I can say, "Can you make it more formal?" "Can you make it more, uh, apologetic?" Okay

12:03Yeah

12:07So this is called, as you can see, prompt engineering or basically, yeah, exactly

12:11Okay

12:14And now, these LLMs, okay, these basically, these, uh, tools run on large language models

12:18Can you see it has become more apologetic? Can you see? Okay

12:21So it'll talk about apologies and all

12:22Okay

12:24Yeah

12:26And, um, same

12:29So, can you see the same prompt, okay, slight modification of the prompt, is the answer is a little bigger

12:30Yeah

12:32Yeah

12:33So that is what is prompt engineering or multi-shot, you can say

12:35Just give some reference, okay? And you can basically do this

12:38So use these tools, okay, to your advantage

12:42Start with free tools, okay? Another free tool, and a pro tip is you can basically use multiple logins, example, okay? If you see I have, uh, at least five, six Gmails, Gmail IDs

12:51Once one limit is over, try to use another, okay? So don't waste too much because I use maybe 50 tools every day

12:58If I start paying for everything, okay, maybe it's a lot

13:00It is a lot

13:01Uh, it's a lot heavy on me, right? So we will try to use free as much as possible

13:05But once I feel, okay, now I've been using ChatGPT Plus, okay, which is $20 per month from a very long time now, maybe around two years, and I use it, okay? If GPT is stopping, okay, I will basically feel

13:17something problem

13:19Okay, so PMO strategy for this bank, which I talked about, can you see all this? You can use strategy

13:23Okay, this is a good way to basically do okay

13:25So show it the context, it will give you the answer as well

13:28But again, you should try to look at also what we are trying to solve, okay? What is this? And uh, you can use this, okay? Again, if you want to research more, you can go to Perplexity

13:36Take this information, put it in Perplexity, it will give you a better research, okay? So if you want to make a PPD, go to Gamma, okay? So go to Gamma and basically you can create a PPD also

13:45Also, okay, so let me show you the Perplexity first, okay? Because we are doing it

13:49Say for example, Perplexity, what we can do? Okay, say for example, okay, I and Javin, okay? We were discussing something for the TAB and PMO setup, right? So, um, what is the problem? Okay, so these are the points I mentioned to you, right, Jav? Okay, I could not respond to your answer

14:03So, this is the discussion we had for the client, right? So, put this and say, "Okay, suggest me a, suggest me, suggest me a consulting plan for PMO setup." Okay, for right, it'll give you a high-level, high-level plan

14:28Okay, it'll give you a high-level plan

14:30Okay, so what you can also do is, okay, let me stop this

14:32Okay, you can, if you have the Pro version, you can use something called as research, run deep research

14:37If you do a deep research, okay, and you can use sources as well

14:39Okay, all this, okay, you can use your, but right now, she will say, I'll put the same

14:42prompt, okay? Now, it will not be simple, okay? It will basically give you a very, very, uh, very, very powerful, uh, uh, this one, okay? Yeah

14:52I'll just copy this same prompt now with the research, okay? With the research option

14:56Now, I think the research is only for the paid version, okay? I don't know

14:57Just try this free version also

14:59You have a research free version

15:00You have a research

15:02Anyone and check and tell me

15:04Yeah

15:05So, so now, can you see it is asking me some questions? Okay

15:07Yeah

15:08I will answer the very simple

15:09Okay

15:10So for PM transformation, maybe three to six months

15:11So I'll just say, first answer is three to six months

15:13Okay

15:15So now, guys, okay, this is like, okay

15:17So this, uh, consulting assignment is basically like, okay, something like 7 to 8 lakhs per month

15:21Okay

15:24And this is a Six months kind of assignment

15:26Can you see how JP is doing such a big work? I mean, this is such big research work

15:29Okay

15:32And if it gets through, okay, you'll be able to easily, okay, you will be able to easily be able to get sales

15:35Six, seven lakhs is not a big deal, okay, for this

15:37And we have like, we have third sub-vendor, first vendor might be earning more than 10, 15 lakhs for this kind of things, okay? Yeah

15:43So what is PMO? EPMO is EPMO, correct? So enterprise project management, uh, office, okay? And, uh, it's basically not for a specific department, it is enterprise level, okay? Centralized, okay? Uh, kind of, you can say, uh, uh, centralized office, okay? Something like this

15:50Right

15:57So this is the third, third answer

16:05What do you want to refer? Okay

16:06Definitely

16:07Okay

16:09PM standards we can use PMI

16:10Okay

16:12Just say PMI standards because PMI is very good in PMO also, right? PMI is a certification also

16:14If you know, PMI is a certification called PMO

16:17Okay

16:21Now they have taken over a body called, there's a body called which was only giving certifications for PMO

16:24Okay

16:25Yeah

16:27What level of digital transformation is already there? Okay

16:29So, um, uh, some digitalization has happened, okay, is already there

16:37And fifth is, what okay, should the consulting include change management, communication planning components as well? Okay

16:42Yes, all components

16:47If I just give this, okay, it'll give you, do a lot of good research, okay? And there are so many tools which can basically do this, okay? Can you see it's researching what is researching

16:52Also, it will show you, okay, if I put the same thing, okay, in a different way, okay, and for a different tool, okay

16:58So I have a lot of other tools as well

16:59So now I can use the same thing for Perplexity, okay? That's what I was trying to show you

17:03Okay

17:06If you go to Perplexity, very, very good for research, okay? Very good for research, okay? So just try to put it

17:09Okay

17:11Again, uh, you have an option for, uh, let's say this option for research

17:14I'll just log in

17:15Yeah

17:17You can use the same thing

17:18Okay

17:19And this is serious business, okay? You're not playing with this, okay? So a lot of people play with these tools, okay? That's fine

17:23But this is serious business, okay? Serious business

17:26I've responded, okay, taking a lot of ideas from here again

17:30We should also have some knowledge, okay? What we are trying to get it, okay? Remember, AI will help you, okay, to augment

17:35AI cannot, AI cannot drive the whole project end to end

17:41AI can basically do the 70, 80% of work, okay? Say, for example, if I look at, say, when I started this work, okay, so this is like, this is the work, okay, like 100%

17:51First 10% I will do

17:54I have to write a prompt, I have to understand the problem, okay, articulate the problem, and all, okay, all these things, okay? Then AI will do this 80% part

18:03This is dirty work, okay? Researching, okay? Now you'll see if I put this, it will research a lot, okay? It will research 100 websites

18:08It will go to Qatar bank, okay? I'll show you that, okay? So this is what I have

18:12Responded also, if you do this now, okay, it will basically, uh, do a lot of research, exactly what regulations are and everything

18:21Okay, so what we are saying is, first 10%, you should do, human should do, okay? Okay

18:25And then 80% of the work, AI will do

18:27All the dirty work, like, okay, now you'll see, okay, it's doing

18:31Last 10% validation, you should do as a, as a human

18:33If anyone always, okay, human in the loop is what we say, human should be, should be in the loop because sometimes they hallucinate

18:41These are probabilistic systems

18:49If you just understand how LLMs work, okay, it's basically they have a huge database, you can say, or knowledge, knowledge base is a better word, and they kind of know the probability, which probability, which word is a better word now, can You see, it has given a fantastic, okay, what we should do with this

18:53Yeah

18:56So what it has searched is, okay, it'll show you also steps

18:58It will show you

19:00You see what it has searched also

19:02It has basically analyzed the user's request to develop a comprehensive PM setup

19:05Okay

19:07All this, you can say, more deeper as well

19:09Okay

19:10Even ChatGPT can do this for you

19:13Okay

19:15For consultants, okay, I definitely feel, uh, after some time, okay, the companies will do it by themselves

19:18Consulting roles will also be displaced

19:20Only when you actually have to take some action, then the humans are required

19:21At least now that AI cannot do

19:23I have to go to Qatar and basically, I have to go to the bank, understand there again, tailoring and all is required

19:28Okay, but a lot of work is also doing

19:31Okay, I can create still more detailed one

19:34Okay, so ChatGPT also might have done this

19:35Yeah, uh, yeah

19:38Can you see it is still researching? Okay, so a lot of resources it has used

19:42It'll also show you which resource it is using

19:44Okay, it is using LinkedIn, PMI

19:45Okay, project management

19:47This is fantastic, everyone

19:50Okay, you might take, say, 10 hours to to do all this research

19:52It will do it in 2 minutes and give you

19:54Is it fantastic, everyone? Give me a thumbs up

19:55Again, I have not built strategy, but I'm just showing you the power of it

19:59And I'm and motivating you to basically what use this

20:01Now, let me show you some other things as well

20:05Okay, this is from the project management point of view

20:06Okay, so because I do, okay, every day if I show you my next last 10 days' mails also

20:10Now, again, you'll find 10 different things I'm doing, okay? And for me, at least, it is like a lifesaver, okay? Let me show you the other one

20:17Okay, can you see project management fundamentals exam? Okay, so this one is there, okay? And uh, Accenture is there, okay? Generative is there

20:20OKR training is there

20:24Can you see this? Okay

20:27And um, yeah, a lot of things are there

20:31Can you see? So almost everything

20:32Okay

20:34I basically use it this way

20:35Okay

20:36Training required for customer management

20:37Can I see agentic conference? Okay

20:39So many things which I, which I'm doing

20:41If I would not use any automation tool, I will go and I cannot delegate this to anyone

20:43Okay

20:46I don't have anyone who is so much kind of, okay

20:47Enabled or educated

20:48Okay

20:49In my company, okay, they do a lot of stuff

20:50I have to guide them again

20:52So this is something, okay, which I definitely feel is very, very powerful, very powerful, okay? And for real business, I'm not saying it's just for playing, okay? Playing also you can do, but for real serious things, okay? If you're trying to research something, okay? And you can do the same thing for simple stuff, okay? For example, you're learning Python, just say, okay, how do I learn Python? Give me a hyper-personalization

21:00Exactly

21:08It will learn from you and basically, it will basically see your profile and basically tell you how to learn

21:17Uh, this one, you're applying for a job, what you do is basically, you just say, okay, this is the job

21:22J job

21:27description JD, this is my resume, okay? It will exactly tell you where the gap is, how to fill that gap, which training you should take, okay? And it will also try to make your resume ATS and job description ready

21:32It will customize your resume automatically and in two minutes

21:37You might take five days to do it, okay? And you'll need some expert, okay, to do that

21:40It can do it in two minutes

21:42So, it is so powerful that you understand

21:45You will be on ChatGPT, only the best friend you may have today, okay? And you should, you should spend a lot of time with ChatGPT

21:50That is just an example

21:53Okay, you can use any other, so Perplexity or Claude or Microsoft Copilot

21:56Okay, so there are so many

21:59Okay, whatever you feel comfortable, do it, but stick to one, maybe for some time

22:01because you get a comfort of it

22:03Okay, if you see mine, okay, it is a never-ending list which I use

22:05Okay, never-ending list

22:07Okay, can you see? So, uh, I use it every day

22:10Okay, I've been doing it for years now

22:13Still, still from when it was launched till I'm still doing it for today as well

22:17Okay, so because I run an NGO, okay, the Youth Excellence, okay, where we do a lot of stuff, and then I run this society as well, okay, where we are the chairman of this society

22:26So, so many things we have to do, right? Every day we have to send a message, okay, this is happening

22:30We have to do vendor selection

22:31Vendor selection also I do in chat only

22:33Just put, I have three, three quotations

22:35I'll put in ChatGPT, it will tell exactly, tell me

22:38Which is the best vendor? It will compare, give me a table as well

22:40So, n number of utilization is there, everyone

22:42Okay

22:44So again, okay, I'm not selling ChatGPT to you

22:46Okay

22:47Neither am I getting anything, any money out of it

22:49But the power is immense

22:51I have been in the IT industry for 25 plus years

22:52Okay

22:53I have not seen anything like this

22:54I have built so many complex systems for banks

22:56Okay

22:57I built rule engines

22:58Okay

22:59Which you will amazing, uh, rule which we have built

23:00Okay

23:01From scratch

23:02Our company policy was everything we do from research

23:05Okay

23:08I was a hardcore developer, designed, architected, okay, deployed, and supported a lot of banks as well

23:10Okay

23:12For this implementations, but still, I could not see anything like this

23:14real magic

23:16Okay, again, I understand

23:17Okay, I'm trying to build a GPT as well, almost

23:18I built it, okay, from the code line by line, but the way it comprehends the English, can you see how it has comprehended my words and exactly come out with the answers? Is something magical, something magical it is

23:32Like, okay, even though you are a developer, you spend time and you build a Chibi yourself, you'll still be amazed the way it is, basically, the program is able to complement the understanding, and, uh, it is really intelligent, right? Perfect, so good

23:43Okay, uh, I want, I want to show you one more

23:45Okay

23:47So, perplexity also very, very good

23:49Okay

23:51So, Java, okay, this is a good way you can, uh, you can basically learn

23:52Okay

23:53Start with this one

23:54Okay

23:54So, this way you can learn very easily

23:55So, it will be very, very good

23:57So, that's how I have also shared with them

23:58Okay

24:00So, uh, yeah

24:03Perfect

24:05Okay

24:06Message now

24:07Okay

24:08Okay

24:09So now, uh, one more

24:10Okay

24:11So, there are so many tools in the market

24:12Okay

24:14Again, uh, you should spend maybe 10, 15 minutes every day to see one tool every day

24:16Okay

24:19We cannot just say, "Three months, I'm trying to see a lot of tools only." Okay

24:20No

24:22Okay

24:24So, every day, one or two tools, that's what you will also do

24:25Okay

24:26One or two tools every day

24:28Okay

24:29And we will go to do some Y coding every day like this

24:31Say, for example, I'll say, "Continue with Google." Okay

24:33Or I I'll use this login

24:35Yeah

24:37Now, say, for example, okay

24:38Uh, Jav

24:39Okay

24:40If you want to build that, uh, uh, this one, okay, uh, on the same

24:43Lines, uh, I'll use one more tool, okay? This is called Aqua, Aqua Whisper variant

24:49Go

24:54So, what I'm doing, okay, I'll just, I'm just trying to, I'm clicking, okay, the, uh, the, uh, one key, okay, on the board

25:00Can you see this green dot? I will, whatever I speak, it will basically convert

25:07So, on the same lines, on the same lines

25:18Is it working? Why is it working or not? Maybe it's not

25:22Okay

25:26Whatever I speak, it will basically put it in the chat box

25:28Okay

25:30That's what the idea was

25:32Okay

25:34Let me just check

25:36On the same lines

25:37On the same lines

25:38Okay

25:39Let me just check from here

25:40This is a good tool

25:42A lot of people use it

25:44Okay

25:46So, acquire some tools

25:47Okay

25:48Yeah

25:49Okay

25:50Otherwise, I, I'll show you this tool

25:51Okay

25:53Yeah

25:54Um, okay

25:55Start GP is hanging

25:57That's not many things are open

26:00Okay

26:02Yeah

26:05What I'm trying to say, okay, on the same lines

26:08Okay

26:11Give me a prompt

26:14I can ask, I can type also very fast

26:16Give me a prompt

26:19It is, it should type now

26:52Yeah

27:26Give me a uh, gamma pro

27:39Everyone, just give me a minute

27:53Okay, I'm just trying to reconnect if I hear

28:06Are you hear me? Everyone, give me a yes

28:10Okay, in the chat box or a thumbs up

28:12Okay

28:14Uh, okay

28:16This system is uh having a problem

28:18Give me one minute

28:21Okay

28:23So, I'm just rejoining the session

28:24Okay

28:26So, maybe uh, maybe the Wi-Fi

28:27Okay

28:29Or some other problem

28:30Let me use another Wi-Fi

28:32Just give me one, everyone

28:34Okay

28:36I'm just joining, rejoining

28:45Okay

28:54So, give me, give me a minute

29:04there

29:05Just a minute, guys

29:06Okay, I'm just uh rejoining

29:07From other laptop

29:13Just hold on for two minutes

29:19Okay

29:26Are you able to hear me? Yeah

29:28Give me a thumbs up, please

29:31Okay

29:33Good

29:35Sometimes what happens is, uh, okay

29:36Thanks

29:37Thanks a lot

29:38Okay

29:39So now, okay, we'll come back

29:40Okay, we'll go back to this

29:41Okay, so we were talking about, uh, so tools

29:44I will again show, okay? So the tools are very simple, but I'll show you the one tool which I wanted to show you is, okay, when you click on one key, okay, it will basically type whatever I'm speaking

29:48Okay, let me try once more

29:52So whatever I speak, okay, this will type

29:55Can you see? Yeah

29:57So whatever I speak, okay, whatever I speak, okay, it will type automatically

30:00So you have to press any key that you can configure

30:01Okay

30:03So sometimes it is good

30:04Some people are, some people

30:06are not good at typing

30:07Now, yeah, so you can, whatever, whatever window is open in the laptop

30:09Okay, for example, I can go to ChatGPT and, uh, I can say on the same lines, uh, create me a prompt for Gamma PPT so that, uh, I can create a PPT for PMO setup

30:15This can see this

30:20I say enter

30:26Okay, it will give me a, it will give me a Gamma PPT

30:32This one, okay? And what we can do now is we can go to this Gamma, this one, okay? So Gamma is the next tool I'm showing you

30:40Okay

30:41So I'll say Gamma again

30:44It will give you some free credits

30:46Okay

30:47Yeah

30:49And, uh, for every login, it will give you some free credits every day

30:51Okay

30:52So once you exhaust that credit, this one, okay, it will not allow you to take

30:54So even if paid version, okay, 30 days, it will give you some credits

30:56Okay

30:58After 30 again

31:01You have to pay

31:03So let me just try to log in with some other ID and see if I can get some credits

31:06Okay

31:09So now ChatGPT will create a prompt for me

31:11Okay

31:12And this will create a PPD for me

31:14Again, you can see it is so kind of easy

31:16Okay

31:17Yeah

31:19So I have seen this

31:19Okay

31:20Yeah

31:21So it has given the

31:22So this is your prompting

31:23Okay

31:25So the best way to prompt is ask to create a prompt

31:26Okay

31:28So just in short, I've given you a 15-day training program

31:29Okay

31:30The crux of it

31:31Okay

31:32Whenever you want to create a prompt

31:34Okay

31:35Ask, ask to create that prompt or Claude to create that prompt

31:36Okay

31:37I'll say this

31:37Okay

31:38I want to create a PP like this

31:39I'll say, uh, yeah, I'll say, enter

31:42You can create a web page as well, PP as well

31:43Okay

31:45Using this

31:46Okay

31:48And you can continue

31:49Okay

31:50And you can ask, check this one as well

31:52Okay

31:53What kind of a theme do you want? Okay

31:55So you want to have a, uh, say you want to have this kind of a theme

32:01Which theme do you want, everyone? This theme

32:02Yeah, let's do this

32:03Okay

32:04And you can just say generate

32:05Okay

32:06It will generate in two bits

32:07Okay, that is the power

32:10That is the power it has

32:12It will create, it will add some images

32:15Okay, it will take some data from the LLM, from its own intelligence

32:19Okay, and it will create a PP for you

32:20Okay

32:21Yeah

32:23And you can directly

32:24So whenever I go for a training now, okay, I generally, okay, go there on site

32:29Okay, I go and basically create a PP because every day now I've witnessed, okay, so every day, okay, I just go there and through with it

32:35front of the client, only I create copies, okay? I'll say it is, I don't feel shy to use AI tools for this

32:43Can you see? So I can present this as well

32:46So here I've not given any information, but testing everyone

32:52So I can present this PPT as well

32:55Yeah

32:57Yeah

32:58Javed

32:59Okay

33:00Is it helping? Yeah

33:01So definitely you should use this

33:03Okay

33:04So as a consultant, as a project manager, okay

33:06So I'll show you how you can completely do projects using uh simple tools like this

33:09Can you see it is giving images? It may do some spelling mistakes, so you have to correct

33:14I can, you can go and edit this PPT anytime

33:15Yeah

33:17See, whatever we have given

33:18Okay

33:19It's exactly what this is what I had in mind

33:20Okay

33:21It has created that

33:22Okay

33:23In what? In a minute

33:24Okay

33:25Yeah

33:26So, you can, and you can download this

33:27Okay

33:27You can download this PT

33:28Share this PT

33:29Share this link as well

33:30Okay

33:31I'll share this uh link

33:32Okay, Javed

33:33Okay

33:34You can just take it from the, take it from the chat

33:35Okay

33:37Yeah

33:38Yeah

33:39You can use this

33:39Okay

33:40So, anyone you can share it as well

33:41You can basically click on share

33:42You can download as this one

33:43Okay

33:45You can export it

33:46Okay

33:47Yeah

33:49You can create, publish to site as well

33:50And you can create a website also like this

33:51Okay

33:53It's very easy, right? So, creating a website and apps are very, very easy

33:54Okay

33:55Good tools, everyone

33:57I'll show you

33:57Okay

33:58Any number of tools

33:59Okay

33:59Every day, every day, one or two tools will fix

34:00Okay

34:01So, we'll not waste, we'll not spend all the time here

34:02So every day, we should play with some tools

34:05Again, playing is more than okay

34:06Start doing business

34:07Okay, start doing the real work with this

34:09Fine

34:11Yeah, now, what we'll do? We'll do some practical

34:12Okay, which is latest

34:14The latest is white coding, I would say

34:17Okay, white coding

34:21So now, okay, what is white coding and all? Did I create that slides? Okay, so let me just quickly show you what is white coding

34:24If I have that, uh, just give me one minute

34:27Okay, let me just check if I have some slides on white coding

34:31Otherwise, it's some, I'll just give you some background

34:34Okay, so what is white coding, and then we'll go to the actual white coding

34:37So, white coding means you can just give a prompt

34:39Okay

34:41And the application will get built

34:43Okay, we'll take some sample, simple examples

34:45Okay, we will improve to go to a little more complex every day

34:50Okay, see, I'll go to this

34:53Okay, and, uh, let me just check my coding is there or not

34:56I wanted to create the slides

34:59Okay, I'm not sure whether I've created it

35:03So there are a lot of things, okay, which I'm trying to do

35:06For example, say here, there are a lot of things, okay, which I want to cover in these sessions

35:13Uh, okay, I'm not sure

35:16I have, I have some slides, okay, but it is not in the demoable part

35:19Okay, we'll, we'll, I, I'll show you some things, okay

35:24So now, what I've done is, okay, I have, I'm using a tool called Claude, okay, called Claude Desktop, okay, Claude Desktop

35:27This is, okay, a little better

35:31Okay, so you have, we have seen Lovable, okay? Lovable, anyone has seen? Okay

35:34Anyone has, uh, who has seen Lovable till now? Anyone, just give me a thumbs up

35:43If you have yet seen the Lable app, you have seen the Lable

35:46Okay

35:48So, Lable is a better app

35:49Okay

35:50It's a simpler, simpler app

35:53Okay

35:57So, go to Lable and basically, what, say, for example, you want to create a, say, Lable app

35:59Okay

36:02I just use this key

36:05Create an app to, uh, to basically, uh, count my food calories

36:07Okay

36:09So the app should basically be able to log in, should be able to log everyday food inputs

36:11Okay

36:14The food should be breakfast, lunch, and dinner

36:16Uh, and it should have relevant items

36:17Okay

36:19In each category, Indian items also

36:20It should check my, um, step counts so that I'm fit

36:23So now I've just missed this

36:25Okay

36:28So this is my there

36:30So now it will create a prompt for me

36:31Okay

36:33So let's see

36:35Okay, I'm basically doing two apps, okay, together

36:37One is a food calorie app, okay

36:39Second is a fitness tracker

36:41Let us see if we can build it

36:42So now, okay, so now it is very, very easy

36:44Okay, so just take this

36:47Okay, I'll show you how this is writing also

36:49How this chat writes it also

36:50I will show you fine

36:52So I'll take this

36:54Okay, I'll go to levelable and I'll say login, and I can basically go to Google

36:58Okay, we can try any number of apps

37:01Okay

37:04Now, if today people are not there who have used this, they are using it to a lot of advantage

37:06I mean, they're using it to a lot of apps they have created

37:08Okay

37:10Every day you should create uh new apps

37:12Whatever you feel that this app I wanted to create

37:14You wanted to create a website? Okay

37:15Go for it

37:16Okay

37:17Yeah

37:18So now I'll just put this prompt

37:18Okay

37:19And now I'll say enter

37:20It will create me an app

37:22Okay

37:23In two minutes

37:25Okay

37:27Yeah

37:28So now, okay

37:29Can you see it is also, it is also showing what it is doing

37:31Okay

37:33It'll also show what it is doing

37:36This was one of the things, okay, which we had a problem with, what these LLMs do, okay, we didn't understand

37:39So this is called as observability

37:41Okay

37:42And then second is evaluation, whether it's doing the right thing

37:44So because of this, okay, we have built like this

37:46Why I'm showing this is because now we will further go and build this kind of apps

37:50Still available cloud, okay, bold cursor AI, all

37:55This, okay? Are tools created, okay? And we will also create some tools, okay? Like this

38:00So we should also always put some observability

38:03What it is doing, the user should know what it is

38:05Can I see it is creating a dashboard? It is creating food logging

38:08It is creating all these things, okay? And this is there in the YouTube video also, I think so

38:11So it, let it do it, okay? In two minutes, it'll do

38:13I'll let me show you something called as uh Claude AI, Claude desktop, okay? You can create a new chat, okay? Now, say for example, you want to create a simple calculator, okay? Create a simple calculator, okay? Right

38:24It will create a simple calculator, okay? So you want to add GST button to it, okay? You can, anything you want to do, okay? You can basically add scientific

38:35functions as well

38:36Let's do one by one

38:38Okay, let's get a simple let us let it show

38:39Okay, how it can do that

38:41So just put a simple calculator, any app

38:43Okay, you can create like this

38:44Okay, yeah, so it will create a so it is writing the code

38:47Okay, you can also control

38:49Okay, slowly, what we will do is we'll move from uh this one to say, Gemini CLI, which is free

38:54Claude beyond a point is paid

38:57Okay, so Gemini CLI, CLI means uh command line interface

39:02Okay, this is where we want to move ahead

39:03Okay, there's nothing to be understood in the coding

39:04But if you understand the code, okay, you can control how it, how what framework it is using, what technology it is using, that also you can control

39:11Can you see? Okay, let's see if it is working

39:13Okay, yeah, it is working

39:18Yeah

39:23So now what we can do, say, I generally calculate GST because for our trainings, okay, GST, okay, button to be added, okay, and it should be what, 18% of the amount, 18% of amount entered

39:28So whatever the user is putting the amount, okay, 18% okay, GST, it should calculate

39:31For example, put 100, it should, the GST button will come here and it should show me 18

39:35Right now, it is adding this, so only by V coding, okay, people are basically what creating apps like this, so end to end, okay, you can basically do everything, okay, with V coding

39:46Can you see 18% GST has come now? I'll say put 200, what should be the GST, everyone? What should be the GST? 200 GST should be 36, right? Let's say clear

40:01I'll say 200, okay, so log is there, okay, what should be The GST for 200 for 100 will be 18, 200 will be 36, right? Yeah, so with GST, it is showing

40:11Okay, so if you want just the with GST, it is showing now

40:14I just want to see the only the GST

40:17Okay, can you see the GST button is added? Okay, 18%

40:18So this is with GST

40:20Okay

40:22Yeah, I mean, now let us see, let us try to challenge a little bit without GST

40:24Okay, should uh reduce, okay, or basically divide, okay, divide the amount

40:30So now if I want to say without GST, I want to say the basic amount here

40:34How do I do that? I'll say 82, correct? GST means 1.18, okay? Without GST means what? GST means it should be 82

40:44For example, say, for example, I put 200, okay, if you're getting this or not, okay, simple calculation

40:51If I put 100, okay, it'll be 118 with GST, correct? Yeah, correct

40:53Now, say, for example, I want to create a button from 118

40:57It should show me 100

41:00Sometimes you want to show without GST also, right? So, without GST button should be made

41:03So, it should be, what should it calculate? Okay, the amount

41:08I can see I'm making some mistakes also still

41:11Okay, spelling mistake is there

41:14So, two of the amount, correct? Is it correct, everyone? Is it correct? 82

41:17Now correct

41:18Yeah

41:19Okay

41:20Yeah

41:21So, let us do that

41:22So, it will show without GST here

41:24Let's see if it

41:26I've never tried it

41:28Okay

41:29So, I'm just trying to challenge now

41:31I will refresh

41:32Okay

41:34Can you see it's adding another button? Okay

41:35Dividing 1.1 into get the amount inclusive of the price

41:37So, minus 18% is trying to do

41:39Yeah

41:41So, now let's say put 100

41:42Okay

41:43So, GST will be how much? With GST

41:45everyone? 118

41:46Correct

41:47Yeah

41:48Right

41:49Now, without GST, how much it should be? 100

41:50Can you see? Good feature

41:52I, I, because whenever I raise an invoice, I have to do that

41:55Okay

41:56Basic amount and invoice and total amount, right? Right

41:58Anything else you want to add here? Any ideas on this app? Yeah

42:07Is it good? Add scientific buttons to it

42:17What you use, any scientific tool you use? Okay

42:18Cost and okay

42:19Something like that

42:21AI, we use it

42:23Okay

42:24So let's see if it adds

42:26Yeah

42:27So plot is good, everyone

42:29Label also, it might have calculated

42:30Okay

42:31Let us go back here and see

42:32Yeah

42:33Can you see now? Okay

42:34So log the food

42:35Okay

42:36Now, whenever I add a food

42:37Okay

42:40Uh, add custom food

42:42Okay

42:44If you want to add foods here, you can add a food

42:46Okay

42:47Say

42:48For example, here is, here let us see

42:50Okay

42:51So now, say for example, we'll say poha, okay, for breakfast

42:52So, and calories also, we can put, say, 100 calories

42:57Okay, add to breakfast like this

42:58So now, uh, poha, where is it? So, breakfast

43:01Yeah, I'll say pha

43:05Now pha will come because I've added it

43:06Yeah

43:08Can you see 100 calories like this? I'll say add

43:10That means, okay

43:11Now, what happened? Okay

43:12For today

43:14Okay

43:15So, what I'm having for breakfast, lunch, and dinner

43:16Okay

43:17That I, that I can have

43:18Okay

43:18That I'm going to keep adding here

43:20Okay

43:22Yeah, that I can keep adding here, and it will show me the this one

43:23So, I can have a dashboard as well

43:26Okay, so let's see

43:29Okay, so create a dashboard code board

43:32Okay, to show my daily calorie count and, uh, weekly

43:39Okay, as well

43:45So in the daily calorie count, okay, it should show a red flag

43:47Exceeds 1,000 calories

43:51Okay

43:54Red flag

43:58Okay

44:02Show red flag when 1,000 calories are exceeded

44:04Okay

44:06Weekly as well in the dashboard

44:08So, are you going to understand now the power of these LLMs and AI? Okay

44:12What are the powers you have seen today? Anyone? So the power is again, not today you have been using it

44:16The power is basically you can talk to it in English language, normal English, right? You can use all the slang as well, okay? Somebody doesn't know English also, whatever you, it'll be starting, it will make sense

44:28What is this called? This is called as natural language processing

44:32This was the biggest power it gives

44:34Second is what we are seeing it

44:36Is creating something from the, it is creating something from the

44:38Okay, that is called a generative AI

44:40Generative AI, and it is also learning

44:42If you use the similar thing, okay, now it will be more improved

44:45You give feedback

44:47This is called as supervised learning with reinforcement learning

44:49Okay

44:51So it is also learning very fast

44:52Correct

44:54So this is the advantage, right, everyone? Are you getting it? Yeah

44:56So what is the, what is the, what is the keywords I talked about? Can somebody type in the chat box? Can everyone type in the chat box? In fact, what are the things I, I talked about? So don't become very passive

45:00Okay

45:03Otherwise, it'll become like a Netflix movie

45:07You'll feel good about it

45:09Oh, Dan has done good

45:11It's like watching a um good movie on Netflix

45:13Okay

45:15But it doesn't add any value

45:17When it adds value is when you start applying it, when you start looking for, can you see here the calories are exceeded? Okay

45:21Okay

45:24So now I can keep logging foods like this, and also steps

45:26Okay

45:28Now, okay, give me an option to add the steps

45:32Okay

45:35Who add steps? Okay, with date

45:36We'll add this one

45:37Okay

45:38Let's see what Claude has done

45:40So now, can you see all the calculators I put? Yeah, you can do a lot of things like this

45:42Okay

45:44You can basically say, create

45:49Okay

45:55Okay

46:00So the prediction is, okay, 90%, 80%, 90% of the whole code which is there, which is there in the world now, that will get rewritten by prediction

46:04Looks makes sense

46:09Also, why a company will hold 500 vendors now

46:13Okay, say, for example, this is working, right? For example, say this is X, okay? This is O

46:16Okay? And say this is X, this is O

46:19Okay? This is X, this is O

46:22Who is winning the game? Who is winning the game? So, and you can do very complex apps as well

46:26Okay? So, the only thing is, okay, how you should, you will be able to debug

46:29Okay? How you'll be able to deploy

46:30Okay? That is a little, okay

46:32You might do need to do some debugging as well

46:34For demo purposes, this is fantastic

46:37So, we have created some products

46:40Okay? The demo itself was, took months

46:41This can be done in days now, at least

46:44Okay? So, how do you, any, any app you wanted to create, anyone? Okay? Just on the fly, you tell me

46:50So, that you see that, okay, it's not scripted

46:51This session is not

46:52Scripted

46:54Okay, even I want to experiment a lot

46:55The more you experiment with these tools, okay, you'll get better and better at this

46:58So, for example, okay, so the next level tool, okay, so like people claim that if you are good in prompt engineering, you'll get 30, 40 lakhs payment, okay? I'm not, I am not committing anything like this, okay? But people claim that there, there are jobs in the market, so be very comfortable talking to these lines

47:13Second is, okay, why coding is very simple, okay? If you know the technology, it's more, it is, it is, it is, it is very good

47:20Even if you don't know it, okay, still you'll be able to create so many apps like this, okay? Yeah, I will, I will keep on adding, you know, tools

47:28Maybe we will go to Gemini CLI, okay, in the next session

47:30Okay, yeah, you can do any number of things, guys

47:35Okay, but you should come up with, you should have curiosity, and you should have, say, problems

47:38Okay, I've seen this app which was created

47:40Okay, this was having a problem

47:41It took 10 days

47:43Can we create an app like this? This was, this is what I want from you

47:44Okay, otherwise, okay, I can, I can record videos as well, right? So, and I can keep posting it

47:49Okay, but I want a real transformation

47:51I want people to really monetize this in the next two, three months

47:55So, the second tip which I give, you should try to target a role

47:58Okay

48:00For example, okay, we are, we wanted to create a course on AI for project managers, which we have already, like, we have started

48:05It is on the weekends

48:07Okay

48:08Uh, we will train only project managers

48:10How to take a real project

48:11Okay

48:12That is what we're doing

48:13If you are coming from database, you can become a data engineer

48:16Okay

48:19If you want to become a data scientist, if you know the, if you can understand the business and how to, uh, understand the data and basically some insights about it

48:22Okay

48:24Some, so data scientist is a responsible role

48:25Uh, ML specialist

48:27Okay

48:29So, whatever target you have, okay, you have to come, you have to have in mind that, okay, what is that target I'm setting, right, everyone? Yeah

48:32So, you see log steps also has come now

48:34Okay

48:36You can basically put the number step count as well

48:37Okay

48:39Also, if I, if I'm, uh, I'll say less than 8,000

48:40Okay

48:41Red flag

48:43Okay

48:44Like this

48:45I can put it like this as well

48:46I, I'll add

48:47that

48:48So, now say morning walk, lunch break

48:49Okay

48:50So, I can put it add like this

48:51Okay

48:52So, 2,500

48:52Okay

48:53Like this

48:54Okay

48:55Yeah

48:56So I'll just put like this as well

48:57Okay

48:59Now I have run out of free credits

49:00Okay

49:01Yeah

49:02So, daily limit is there

49:03Okay

49:04You can keep adding like this

49:05Okay

49:06Now you, you another tool, another ID

49:07Okay

49:08What I will do now? Uh, this is from, this is available

49:09Now, what I will do? Okay

49:12I will basically log out

49:13Okay

49:14And I will, I can log in with my another email ID

49:15Okay

49:16Yeah

49:18So, yeah

49:19Can you get everyone? How to smartly use these tools

49:21Okay

49:22Use another email ID

49:24Again, we'll give you some credits

49:25Okay

49:26Try from there as well

49:26It's a good revision as well

49:27Right

49:28Yeah

49:29Yeah

49:30Getting it everywhere

49:31So, this is a good

49:32So I can again, I can publish this app

49:33Okay

49:35You can, I can put it on a custom domain as well

49:36I can publish it for you

49:37Okay

49:38You can start using it

49:38Okay

49:39Try using it if you want

49:40I'll just put it in the chat box again

49:41Fine

49:42Everyone, give me a thumbs up if this looks good

49:43Give me a thumbs up if this looks good

49:46Yeah

49:49Perfect

49:51Okay

49:53So now, okay, okay, you should be so excited that at least you should create five, ten apps like this

49:55People have done it

49:56Okay

49:58So one of the people, okay, who are here, Swati is in the UK

50:00She's a product owner

50:03She created apps for her home, okay, budget management, because she has so many expenses nowadays

50:05Okay, you will find it difficult to keep track

50:07So some regular expenses are there, okay, that you can Basically, add it like every month, you add that

50:13Okay, some surprises are there

50:15Okay, so how much money is left? Okay, this app will show you

50:17Just enter it, okay, or just attach it to an Excel

50:21The next level thing, which I'm trying to do, is basically I should be able to whiteboard everything end to end

50:26Example, I should be able to create an app like this

50:29Okay

50:32And I should be able to kind of add it to, uh, the next level thing I'm doing is something like, uh, creating an agent

50:35So, what is an agent? Agent is basically something which can, uh, basically take action

50:37Okay

50:40Do a lot of processing and, and take action

50:42Okay

50:45This also, I think so, I've shown, okay, in the last session as well

50:47Uh, this is Dan

50:48This is a little bad

50:50Okay

50:52They don't, uh

50:57Save this

51:03Okay, I guess I don't know what my name is

51:09[Music] Link to go to the link

51:15So I'm trying to go to an agentic framework called N, and this is called a no-code agentic framework, which can basically, you can create any, any number of workflows, any complex workflow, okay? Say, for example, I can, so what I'm, one thing, okay, which I discussed last week, okay, is say, for example, every day I get so many emails, okay? Sometimes I miss the emails, okay? This is something for, for example, say somebody's asking me to do, um, some training, okay? So I, I should check, okay? And they ask you more for calendar dates as well

51:48Which dates you are available? Okay, which dates you are available for a technical call? These are things they ask

51:53So I should be able to Tell that, uh, if the training belongs to these categories, something on project management, business analysis, okay, agile, okay, then, okay, take the training

52:03Okay, I suggest dates which are not, which are available in my calendar

52:06Okay, so should not give a date which is like already I'm booked, something

52:09Okay, then I should not rebook it

52:10So now, and I should respond to the email

52:13Okay, it should put me in draft

52:15Okay

52:17And I should basically go and say, yeah, it is a good mail and I will respond to it and reply positively

52:19Yeah

52:20So this is what the agent I'm trying to build

52:22Okay

52:23And I will show you within this, okay, within a few days now

52:24Okay

52:25Two, three days, I will try to show you

52:26Say, for example, uh, I get a requirement from, uh, say this one

52:30Say, this is okay

52:33This is for, say, example, this is for white coding

52:36Okay

52:38They have asked a requirement for white coding

52:40Okay

52:42Yeah

52:43So now, okay, what I'll do, say, for example, okay, the way I do it now is basically, I'll take this, okay, and I say, reply positively

52:53I think I've shown this in the, uh, in the other videos as well

52:55So now, what it will do, it will take, read the mail

53:00Can you see the power? The way it's comprehending, it will understand the context and it will reply positively as well

53:04And whatever I do, it will take my strengths also and tell you that this can do this

53:08Yeah, it's trying to reply as well

53:10Okay, so I just copied them

53:11Okay

53:14And I basically have twisted here

53:16So, what I have used, I have used a model

53:17Okay

53:18Model is basically about

53:19Having an LLM behind it

53:20So under the hood, okay, we have an LLM

53:23So what I can do, I can create an agent like this

53:28Okay

53:32So what is an agent? Okay, an agent is steps that whenever I read, I when I get an email, uh, hallucinated, hallucinated

53:37Uh, what happened? Okay

53:39So sometimes it'll hallucinate

53:40Okay

53:42So be a little careful

53:43Okay

53:44So reply, uh, positively

53:45What did I put the mail got? Did the mail get copied or not? Okay

53:48Let me see

53:58Did the mail get copied or not? Okay

54:00Yeah, the mail got copied

54:02Okay

54:05Retry

54:06Okay

54:07There is some problem

54:08Okay

54:09I have to close this

54:12Okay

54:14So remember, whenever you have, you have finished with one word, okay, try to create a new chat

54:15Okay

54:17So I'll say reply positively, otherwise it will hand, it will not understand what

54:19I'm talking, is it a new thing or an old food app? I'm talking about, yeah, I'll just say reply positively, okay? And it is now trying to reply

54:27Yeah, so can you see? Thanks for reaching out concerning me, okay? And you will see that mostly I have used this email

54:34Can you see duration? It knows some of my costs as well, okay? Sometimes I charge 1 lakh rupees also per day, sometimes I charge 20,000, 30,000 also per day

54:43Okay, again, that is not important here

54:45But the important thing is, basically, can you see it has given me all the things? It has saved me 10, 20 minutes

54:49No spelling mistakes, okay? Everything it has

54:54Now, again, I can change anything

54:58Can you see it has also taken whatever batches I have done because it has the context, right? So I'll say I want to Change that

55:02This one, okay? To cost, okay? Uh, change commercial

55:06I'll say commercial, okay? I'll just say I want to charge 50,000

55:14Now it will be commercial, 50,000 per day

55:16Okay

55:17Say 28,000

55:19Okay

55:21Half day

55:22So I'll just say amend or add

55:29Can you see I'm, I'm purposely making spelling mistakes? It still may be able to understand

55:32Can you see? 50,000 like this? Yeah

55:35So I'll say give me a to, uh, uh, what do we say? Okay

55:41For a training, we say, okay, table of contents

55:43You can just say T and you see T as well

55:45Fantastic, everyone

55:48Fantastic

55:51Yeah

55:52Yeah

55:53That is very fantastic

55:54Okay

55:55So, yeah

55:58So even don't need

56:01So if you, if you give more explanation, more, more context, okay? More articulate, okay? More, whatever you give, it will basically improve

56:03Okay

56:05Just Trying to show you with some minimum words, also it will understand very nicely

56:07Okay

56:08Yeah

56:10If you see my work, okay, I'm doing 10 to 20 different things

56:11Okay

56:13I will not be able to spend a lot of time for everything

56:15So I need a tool like this

56:17Okay

56:19When I'm going for this one, I'll take this and put it into PPT

56:20Okay

56:21Just put a P

56:22I'm going, I'll just put a P like this

56:23Okay

56:24Create a PT as well

56:25Create some more documents

56:26Go to publicity

56:27Okay

56:27Research on this like this

56:29Okay

56:30Yeah

56:31So and then, okay, finally, we want to automate these things

56:32Now, what I will do is basically I will, uh, uh, I will create an automation

56:39Okay

56:42I will create an automation

56:44Okay

56:47So I'll show some automations if I can show you now

56:51Yeah

56:55Uh, yeah

56:58It's a magic link

57:02Where is the magic link? Spam is you want to spam? Yeah, subscribe to many, uh, newsletters

57:04Okay, that is one way to learn

57:06Okay

57:08Yeah

57:09So, see whatever investment you're doing today

57:11So, this is a future skill

57:13What people will say, "Oh, I did this course, but I'm not getting money." Okay, in one month, two months, it will take six months

57:18Okay, if you're spending that kind of effort, maybe in two months only you'll get it

57:22For example, okay, I'm sure that if I apply for a data scientist, I'll get that role, but I somehow not interested in jobs now

57:2725 years, I've done a lot of jobs

57:30Okay, I want to do some consulting work

57:32Okay, this kind of where I can, I can get some time to do more research as well

57:36Okay, so, and what I'm saying is, okay, you can get that uh amount, okay? But, um, the more investment, okay, we are doing here, okay, that will definitely uh give you a return, okay? Not immediately, okay, but it's a future sale, right? So, where is the mail gone? I used just a minute

57:57One spam key set, magic click, okay? So, these are the tools which we want to use, okay? For if you want to basically, we build something like an agent, okay? So, let me give you some idea about the agent today, okay? So, uh, till this happens, now it's coming, okay? So, now what I'm trying to show you is, okay? So, I just want to be, be more practical here, that is again theory

58:25I have created some course, this one as well, but I wanted to show a little more practical, which is interesting, right? Even a, okay, does it look interesting if I don't? show more practical rather than, okay, rather than, uh, talking a lot of slides and slides

58:31Okay

58:36So even I don't like too many slides

58:38Okay

58:40Yeah

58:42So I want to show you something practical

58:43Okay

58:44But slides, you can see

58:45Okay

58:45Yeah

58:46So I'll show you slides as well

58:47Okay

58:47A little later

58:48So you can create any, uh, this one

58:50Okay

58:52Any workflow like this

58:54Automate any workflow like this

58:56Okay

58:57Yeah

58:58So I showed you some workflows if you have seen that

58:59Okay

59:00So I can create a workflow like this

59:01Okay

59:02Where I will read an email

59:03Okay

59:04Uh, and, uh, check my calendar

59:05Okay

59:06And, uh, go to LLM

59:07Okay

59:07Give some positive reply

59:08So, can I do that? Very easy

59:10Okay

59:11So, for example, let me show you

59:13Say, for example, I'll say I want to create a, uh, a basic workflow

59:14Okay, what I will do, I want to read first of all

59:17How do I trigger? Okay

59:19So, new email comes to my inbox

59:21Okay

59:22I'll say, add a step

59:26Okay

59:31Like this

59:35And, uh, I'll say, uh, Google Gmail, Google, Google Mail

59:37I put Gmail

59:39Yeah, it's a Gmail

59:41Okay

59:42Now, on message receipt

59:43Okay

59:44Any mail, any mail comes

59:46Okay

59:47So that's how credential

59:49Then we have a similar tool called Power Automate where we could do this

59:50Yes

59:51Yes

59:52We have 50 tools

59:53Okay

59:54So we will start with one

59:55Okay

59:56So you, I'll just list out, I'll just list down

59:57Okay

59:58So some tools here

59:59Okay

01:00:00So that you also can try

01:00:02But, okay, there are some things that are a little simpler

01:00:02Okay

01:00:03Some things are more flexible

01:00:04Okay

01:00:05That is how we choose the tools

01:00:06Okay

01:00:07So, for example, okay, simpler

01:00:08is make.com

01:00:08Okay

01:00:09Then we have Relevance AI

01:00:10Okay

01:00:11There are some advantages of using this

01:00:12Okay

01:00:13Relevance AI, Power Automate from Microsoft

01:00:14Okay

01:00:15Yeah

01:00:16And there are so many

01:00:20Okay

01:00:25I can show you so many now

01:00:29Uh, and the reason why we choose it is because, uh, it has, uh, first of all, it's not only, okay, I have taken a paid version again, okay, but you can take a, uh, free version as well if you download it on the desktop

01:00:32Okay

01:00:36If you download it on the desktop, you can basically run it on your free, okay, but it is a little, little more complex

01:00:40It is the most, one of the most flexible, okay, to that is why I took it

01:00:42Yeah

01:00:44So there are so many, okay, lindy.com

01:00:45Okay

01:00:47So I can show you for every

01:00:48So what we'll try today, every day we try to take another tool

01:00:49make.com

01:00:50I'm trying to make a lead

01:00:52This one, okay? So, social media posting, something like this, okay? We can take

01:00:55So, what happens is, okay? So, I say this recording, we are doing, okay? And we want to share this on YouTube

01:01:00I have to take this, download this, and post it on YouTube

01:01:02So, for example, if I'm a content creator, I will, I will create so many content every day and I want to schedule that, uh, uh, posting

01:01:10So, I can create an agent which will automatically read my files, okay? And automatically post on given times

01:01:12It's very easy

01:01:15I'll show, I'll try to show you

01:01:18You can basically post on Facebook, okay? Uh, Instagram and LinkedIn and all these things, okay? Yeah

01:01:24So, there are so many, okay? So, more which I we have used is, uh, make relevance, power

01:01:27automate, Lindy

01:01:31Um, yeah, there's so many else

01:01:33Okay

01:01:35So, but it is more or less the same if you see now

01:01:37Okay

01:01:39So, once you see this one tool, which is, this is a little, little more, more popular, Ninin

01:01:41So, Ninin, the word comes from, okay

01:01:42So, node to node

01:01:44Okay

01:01:45So, node to node

01:01:46Okay

01:01:48Node automation, the company rebranded itself and then finally they came

01:01:49This was more fancy, so this is node to node connection, infinity kind of a connection

01:01:53So, it is very, it, it's very, very, it's very easy

01:01:54Okay

01:01:55That is why

01:01:57So, I have logged into Google now

01:01:59Whenever I, I receive a message, okay, what should I do? So, now this is my trigger

01:02:01Okay

01:02:02We'll try to check it as well

01:02:04Okay

01:02:05Again, I'm just, I'm just trying to

01:02:07So, now you can create a, uh, you can take an agent

01:02:09Okay

01:02:11Say, AI agent and Uh, this agent will have a chat model

01:02:13Okay, which chat model? Open here

01:02:15The way we have used chat, I'll use it

01:02:17You can use any chat, okay? For example, you'll see you have everything, okay? You write from, uh, Amazon Bedrock, okay? So right from Amazon Bedrock, Deepseek, okay? Google Vertex, Mistral

01:02:28So there are some free as well, and there are some proprietary modules as well

01:02:32Now, if I use OpenAI, these kind of tools will basically, you have to have an API key and you'll have to have a..

01:02:38Yeah, so any question? [Music] I'll just mute so that it's going background noise

01:02:48Can you see? Is there? Okay

01:02:49Deepseek is free

01:02:50Okay

01:02:52Mist is free

01:02:53Uh, Grok is also free, I think so

01:02:54Yeah

01:02:55Ola is free

01:02:56Okay

01:02:57Grok, I have to just check

01:02:57Rest

01:02:58Okay

01:02:59OpenAI, if I use for Example, let me use OpenAI

01:03:00Okay, so OpenAI, I have to have a create a credential

01:03:03Okay, so credential is you have to create an API key again

01:03:04How do you do that? So you have to have go to playground

01:03:07Okay

01:03:10Uh, open like this

01:03:13So this is not the prompt I wanted

01:03:16So API, open again

01:03:19Uh, yeah, API platform, we say, okay, go here and you can create a, uh, simple API key

01:03:22API, everyone understands

01:03:24Okay, API is application programming interface

01:03:27Okay

01:03:29If you want this any wants to talk to OpenAI, um, OpenAI has exposed some, uh, this one

01:03:32Okay

01:03:34Let me log in on this OpenAI

01:03:36Okay

01:03:38OpenAI, you can basically go and, uh, you can go and create an API

01:03:40Okay, go for API login, you can create API, and then you can put the API into this workflow

01:03:45Okay, it basically calls open

01:03:49The way I have done it manually, okay? You, you know, I've got man, so copy-paste

01:03:53So the copy-paste, I want to avoid

01:03:55How do I? I'll directly call this, okay? So, yeah, I'll go here and basically I'll log in and I'll create a, so very easy, okay? So just try it once, okay? You can create keys from DeepC for all the tools, okay? For all the tools, even if you're trying to use a free one, okay? Go use Hugging Face there

01:04:13You can basically take any open module, okay? Open a model, fine

01:04:15Yeah

01:04:19So, we'll take this and basically we will, uh, yeah, go to your, uh, yeah, settings

01:04:24In the settings, you can go to API keys and you can create an API key with this, okay? Yeah

01:04:28All the API keys are here, okay? You can say 11 July like this, okay? Uh, project, you can say default

01:04:35I can Say, create secret key, don't share API keys, okay? People can use it

01:04:39I will also delete

01:04:41Okay, so now, once I finish this, so I can use API key like this, okay? Save it

01:04:47And also, I can use organization here, okay? Done

01:04:49Organization

01:04:53This is organization ID

01:04:56Just copy this, put it here, okay? See? Now, okay, has connected successfully

01:05:00So now, okay, can you see what I, what we have done? Okay, just click on here, okay? It will basically now, this email, I have to find a way to read the email and basically pass it to the chat model

01:05:12Whatever chat model will reply, I'll do some further processing

01:05:13So this way, I can build any number of, uh, this one, any number of workflows, okay? We'll try to do it, okay? So I want, I've done it for lead management, okay? Once I get anything on, on, on the, on the Uh, this one on the uh Google Sheets, okay? I can qualify that lead using an agent, okay? Yeah

01:05:34So this way now, further, what I will do, I will read the email

01:05:36I will see whether I will call the so these tools, okay? You can call calendar, okay? Let us see the tools

01:05:40So the tools is basically, let us see, character is there

01:05:42Yeah

01:05:44So you can use a calendar tool, okay? Where you can read this

01:05:47Okay

01:05:50You can basically use something like open router, okay? So I can use something like an open router as well

01:05:53You can use multiple tools, okay? And uh, MCP is the which will give you an access to thousand tools, okay? Thousand tools literally

01:05:57So you can do that

01:06:02You can keep calling different agents, okay? Different models, okay, to evaluate as well

01:06:07You can find a human in the loop, okay? Where I can say this email should go into my draft email, okay? Yeah, I wanted to build, I, I'm trying to build this kind of an agent, okay? So, I will show you, okay? So, what it should do is, basically, it should first of all, take that email, okay? Check whether it is in my, uh, in whatever I do, for example, project management, business analysis, agile, product owner, these kind of things I do, okay? PMO and all

01:06:27So, if it is beyond that, technical AI also I do, okay? So, beyond that, somebody talks about it, I don't do that

01:06:33So, now this, okay, this will reply saying that softly that, okay, I don't know

01:06:37Automatically, this agent will do it

01:06:38If it is between my, within my, uh, work which I do, it will go to OpenAI model, okay? And basically, what reply positively? So how do I do that? I'll show you

01:06:49And then basically create a table of contents as well

01:06:50Okay, put in the draft so that I can check and basically send it, right? It will check my calendar as well, whether my calendar is free on that date or not

01:06:58Okay, so like that, we can basically create any agent

01:07:03So what is the advantage? Page, I can get, I can respond now

01:07:05I respond to say, 20 emails

01:07:06Okay, I can respond to 100 emails with this

01:07:08Just I'll just check the draft, draft emails

01:07:10Okay, so I just say send, send

01:07:12Something I don't like, I can say, don't send

01:07:15Okay, something as spam, I'll just mark it as spam

01:07:16Good idea, everyone

01:07:18So what I want, okay, basically, again, you can create this also with prompting

01:07:21So where is it? Okay, so it is here in This is providing that, okay? So let me check, uh, N workflows, close with prompts

01:07:40So now, AI prompt generator workflow

01:07:42Yeah

01:07:45Uh, workflow automation templates, community

01:07:51Let us see this

01:07:56So even, even if you can just use, uh, this one, even if you can prompt, it will create a, it will create a workflow like this

01:08:02Okay, I will show you that as well

01:08:04So see, okay, what we have understood today is basically we are focusing on generative AI

01:08:09Okay, what is AI? AI is basically an intelligent system

01:08:12Okay, so again, don't, we will not go into the fundamentals

01:08:16Fundamentals, we try to check every day

01:08:17Okay, some little bit

01:08:18Okay, but we are focused on generative AI

01:08:20We are focusing on agentic AI

01:08:21We are focused on W coding

01:08:25Okay, end to end

01:08:30Can you Do it with Y coding? Okay, W coding means, okay, so using your natural prompts, natural language processing using prompts, okay, and you're able to automate intelligently

01:08:34Now, can you do this with traditional programming? Very difficult

01:08:38Okay

01:08:41So reading an email, finding, okay, what should be the reply, the way ChatGPT is doing it, it's very difficult to do it programmatically, right? So we will use the model here

01:08:45And now, okay, finally, what is an agent? An agent is basically what it can take an action

01:08:49It can process

01:08:50It can understand the context

01:08:52It can basically use a lot of tools

01:08:53Okay

01:08:54It has memory

01:08:55It has LLM

01:08:56LLM is the brain

01:08:57Okay

01:08:57Hands and legs is the tools

01:09:01It has a memory as well

01:09:05How much memory you want to keep? For Example, can you simply understand how my daily PMP session works, right? So this way, okay, we'll try to create some templates

01:09:08Okay, so uh, if you see, uh, I just saved

01:09:14So you have to save it manually, it doesn't save automatically

01:09:18So I'll go to the admin panel

01:09:22So now, close, even a paid version is giving this much

01:09:27Okay

01:09:33Dashboard

01:09:35Yeah

01:09:38So you can create any number of workflows, you can try to do

01:09:40Okay

01:09:42Every day we try to create one workflow

01:09:43Okay

01:09:44So, um, I think so we are running a little bit of uh time

01:09:47Okay

01:09:49So now, say if I want to create this lead generation workflow, I just show you this one, okay, which is ready now

01:09:52So others are not ready

01:09:53So whenever I have got a uh, this one, okay, I'll show you from here, that's better

01:09:57So I talked

01:10:00About this, has anyone seen this YouTube video? Okay, which I have shown you

01:10:03No, so I'll show you now

01:10:04Okay, that's better

01:10:06If you have not seen it, it's good

01:10:07So now, say for example, I'll go here, I'll go to the sheets, Google Sheets

01:10:12So we want to have a lead qualifier

01:10:14Okay, that's a workflow we always use

01:10:16Okay, so whenever lead management, everyone understands lead management

01:10:18Say for example, okay, whenever we have a lead, okay, so for example, say whenever I have a lead, okay, my CRM will put this lead into this, okay, this sheet, okay, say for example, okay, this new lead has come, okay, so say for example today, okay, we have, I just put the name here

01:10:36You have done BMP with us, is it? No

01:10:38Yes

01:10:40Oh yeah

01:10:41Okay

01:10:43So you Should you have told me enough? Now I remember that name

01:10:45Okay, great

01:10:46Okay, perfect

01:10:48So now, uh, say, for example, I'll say, "11 July." Okay

01:10:50Uh, and, uh, today, now it is, okay, 11:47

01:10:52Okay

01:10:54So this is the, uh, we got

01:10:56Okay

01:10:58And now, if I have contacted the lead, okay, I will, so if I'm not contacted, I will process

01:11:00Okay

01:11:02So what we'll try to do, okay, say, for example, this is my AI training company

01:11:04Okay

01:11:06I want to see people who are interested in AI and not interested in AI

01:11:09Okay

01:11:12Say, for example, Arthur is interested in AI, okay, AI evangelist

01:11:16Okay

01:11:19I can write a lot of things, okay, which the the LLM will automatically read and understand whether this person, okay, will become a hot lead or a cold lead

01:11:21Okay

01:11:23That must be understood

01:11:25So what is a cold lead? Cold lead is basically what people will not convert

01:11:28Hot lead is people will convert

01:11:31If the other is an AI evangelist, okay, then mostly he will convert, right? So he should be getting qualified

01:11:35Say I have another, okay, say who is like a time-pass person, okay, so let me time-pass here

01:11:37Okay

01:11:39So he's a time-pass person

01:11:40Okay

01:11:41So now he, it's a cold lead

01:11:46Okay

01:11:51So now, okay, so I will say, okay, um, so this sales people or or this pre-sales people, he will put it like this

01:11:54Okay

01:11:57He may not be interested in anything

01:11:59Okay

01:12:01In anything

01:12:02So I'll just put like this

01:12:03Okay

01:12:04I'm just putting anything

01:12:05Okay

01:12:06So this should, this should get qualified

01:12:07This should get disqualified

01:12:08Correct

01:12:09Now, what this tool will do, okay, is, um, now I'll just show you what

01:12:12We have done, okay

01:12:18We have attached this, okay

01:12:23So I just created a Google trigger here, okay? And I attached this sheet here, okay? From this sheet, what I will do, from this sheet, okay? So 17th July, I have taken the lead data, okay? So FSA fetch, okay? It will fetch the data from there, okay? This is like an API

01:12:28This is what this tool is helping us, okay? It is easy to connect to these people, okay? So now, uh, Charter has come, okay? And Time Pass also has come, okay? Yeah, perfect

01:12:39Both have come now, okay? So this is working fine, okay? Then we'll have a filter, okay? What is the filter? The filter is, okay? The I want to check only those people, otherwise it'll take all the leads

01:12:50Now I will only take the people who have not been processed, who have not been contacted

01:12:52Okay

01:12:54And just click outside

01:12:55Okay

01:12:57And then I'll call an open uh chat model

01:12:58Okay

01:12:59So what it is doing? So I will use chat 4 mini

01:13:00Okay

01:13:03I can use any, any model as well, but I will use this because it is very fast

01:13:05Okay

01:13:07And it is very cheaper as well

01:13:08Okay

01:13:10I have connected my account

01:13:11Right

01:13:12So what this agent is doing, I have to give him a system prompt

01:13:13I have to give the way I was giving prompts to my chat Gity

01:13:16I will give a prompt like this

01:13:17Okay

01:13:18That you are an agent

01:13:19Okay

01:13:21And uh, say for example, here you are helpful

01:13:22So I, I will click on this

01:13:24So you are a helpful agent

01:13:26Okay

01:13:27And your task is to basically filter leads for, you can say, for AI people who are interested in AI or not

01:13:29That is what its task is

01:13:31Okay

01:13:32So that's What it will do

01:13:33So now if I execute this step, okay, it will show you that, okay, it may, okay, check both the people now

01:13:41So it is going to process

01:13:43So, so now what I have done is, okay, I have basically, what, see, Arthur is here

01:13:46Okay

01:13:50So Arthur is, can you see Arthur identifies AI evangelist, which suggests a strong engagement with promotional, educational elements of artificial intelligence

01:13:54So this profession typically includes, okay, advocating for AI technologies

01:13:58Okay

01:14:00Yeah

01:14:02So this lead time pass, okay, represents an individual whose self-description as a person is a waste of time

01:14:05It raises immediate red flags

01:14:06Okay

01:14:07So it indicates a lack of ambition or interest

01:14:09Okay

01:14:10So yeah

01:14:12So now, can you see it has now disqualified this lead? Okay, and this is qualified this lead

01:14:14Is it interesting, everyone? Yeah

01:14:15So this, okay, manually used to do

01:14:16Okay

01:14:18And now we'll also take and we will try to whatever it has now qualified this qualified

01:14:21We can again evaluate with another agent, with another LLM

01:14:23I have again used OpenAI, if you should deep see any LLM, you go

01:14:26Okay

01:14:29Okay, you can basically find a key

01:14:32Okay, I have a publicity key

01:14:33Okay, it will ask you for $5 if it is a proprietary one

01:14:35If you go for an open AI model, it is free

01:14:37Okay, just add it here

01:14:40Okay, and then, okay, you update the Google sheet

01:14:41Okay, how you update the Google sheet? Let me show

01:14:44So, now what you'll do? Okay, so get, get rows

01:14:47Okay, you'll do

01:14:49Okay

01:14:52And basically, what you append the row, that means, Okay, now here, okay, if you see qualified leads, okay, so author is here

01:14:54Can you see it has now come because now we have put it in

01:14:55So, and this, the other person has not come

01:14:57So, now that is what we have done

01:14:59We have added in this one, correct? So, yeah

01:15:00So, now if I just click outside, I'll say, I'll add one more

01:15:05Okay, so let me remove all this

01:15:07So, qualified leads, I'm putting it into another sheet

01:15:10Now, these are the leads which I want to process

01:15:11I want to nurture these leads

01:15:13It's called as lead nurturing

01:15:15Okay, this much sales, okay, everyone understand, right? So, I'll say another

01:15:17Okay, so I'll say Dr

01:15:19Naza, okay, uh, yeah, Dr

01:15:22Naza has come here

01:15:25Say, for example, so Dr

01:15:27Okay

01:15:29And we'll say 112

01:15:31Lot of, lot of background noise now

01:15:32Dr

01:15:33Nazia, okay

01:15:34So, I'm Just trying to mute you

01:15:35Sorry for that

01:15:39Lot of background noise

01:15:40Sorry

01:15:42Okay

01:15:43Where are you? You are outside

01:15:44Okay

01:15:45Lot of background noise there

01:15:47Okay

01:15:48So, now what I'll do? So, now see there are no qualified leads

01:15:49Okay

01:15:50So, now I'll say Dr

01:15:50Nazi also to be contacted

01:15:51Aar is to be contacted

01:15:52Okay

01:15:52These are new people

01:15:53Correct

01:15:54I will run the workflow

01:15:54Okay

01:15:55So you see, execute the workflow

01:15:56So you see it has taken, which it has taken, will show you

01:16:00If you want, if you go here, it will show you what it has processed

01:16:02Okay

01:16:04So it has processed, okay, all these people

01:16:04Okay

01:16:05If you go here, it will show you that which it has processed

01:16:06Here also, it is showing you what it is doing

01:16:08Okay

01:16:10Yeah, it shows you here, for example, now Dr

01:16:11Naza also

01:16:13Can you see? It appears to be strong, potentially

01:16:14Can you see? Yeah

01:16:16And, uh, yeah

01:16:18So it will show all this

01:16:19Okay

01:16:20And it will basically be doing this

01:16:22One more agent I put in is basically to evaluate, okay, whether this, uh, whether this lead is qualified or not

01:16:27Can you see? Okay

01:16:29Also disqualified

01:16:30Yeah

01:16:32Contacted

01:16:33And you can keep on going further

01:16:33Okay

01:16:34Now you can basically send an email

01:16:35Okay

01:16:36Send a cold email

01:16:37Okay

01:16:38Yeah

01:16:39A lot of people are doing thousand-step workflows as well

01:16:40Okay

01:16:41And you can use thousand tools

01:16:42So if, uh, if my time permits me, okay, I want to completely automate everything which you do, which is very much possible

01:16:46Okay

01:16:50Uh, and people are doing it

01:16:51Okay

01:16:53So for sales, marketing, okay, so sales

01:16:55Marketing is what again? That's what we do now

01:16:57We have to market, right? Our product

01:16:59The problem today is not just building products, also marketing

01:17:02And you see it has done this work fine

01:17:05Yeah

01:17:07So, uh, good, good enough lead management, everyone

01:17:09So this kind of, so, uh, what I have given you is basic one, okay? I will try to create more

01:17:13I want to create at least 100 workflows like this, okay? So that's what my aspiration is for the real business

01:17:18I have so many things which I want to automate

01:17:22My email responding, my lead management, okay? Calling out to people, okay? It should send, okay? I want to create a chatbot, okay? I will show a chatbot development which I want to integrate in my, uh, website because a lot of people call me, okay? What? What is happening? When is the badge, and they talk so many things

01:17:37So I want to have a chatbot which can help me out, right? Yeah

01:17:40So chatbot, okay

01:17:43Agents, coding, these are the things, okay, we should basically focus on

01:17:46Chatbot is a little old-fashioned

01:17:48Uh, further, okay, the future is basically all on, uh, computer vision, okay, where we can scan videos, okay, or basically, uh, create videos, scan videos, okay, for security as well, for marketing as well, okay

01:18:00So fantastic, okay

01:18:01Let me show you

01:18:02You can create your own GPT as well, okay

01:18:04You can create your own, uh, simple, uh, this as well, okay

01:18:05So before we sign off today, you can basically create, uh, you can create your own GPT, okay

01:18:13For example, I can create a 10 PMP expert GPT, okay

01:18:15For example, okay

01:18:17It's very easy, okay

01:18:19I Can expose this to you, and you can talk to it

01:18:21Okay, for example, whatever we do on PMP, it's there

01:18:22So I can say, "How to pass PMP exam?" Okay, so now Arthur is basically passed PMP exam, Jave is PMP certified

01:18:30Okay, I just put like this, whatever knowledge base I have given, okay, it will basically use my knowledge base, not only ChatGPT, can you see? So I can, I can basically create my own

01:18:39Okay, or I can say, for example, okay, so Tanya, the expert, uh, say for example, I have told you, okay, that we sessions on June

01:18:49Uh, when is the next, next BIPM session? So I can create, I can publish this to you

01:18:58You can ask the questions to this

01:19:00Can you see? Happens every Saturday

01:19:01Okay

01:19:02Generative AI

01:19:04Okay

01:19:05So like this

01:19:06What? So now I can create my own project

01:19:07It's very easy

01:19:08Okay, I'll show you tomorrow

01:19:10So tomorrow, okay, you can tell me also, you can create videos also

01:19:12Okay, Sora is one of these

01:19:14Okay, somebody asked me, okay, how do you create videos? Okay, on this, on this uh, on the WhatsApp group, okay, you can just log in and basically create any video you wish you want

01:19:21Okay, we can keep discussing like this, okay, so every day we'll take one tool, okay, and basically see this

01:19:27Okay, so video creation also is very difficult, so this, because this has, they have made it very, very easy

01:19:31Okay, so yeah, okay, so I just give her a prompt, okay, we get a video for you

01:19:36Okay, so I think I talked about this, okay, in the other session as well

01:19:40Say, for example, okay, we want, we want to do this session, okay, in a garden, okay, I can say that we are In the AR, Tanir is training PMP

01:19:47Tanir is an Indian, say, is an American, okay? Something like that

01:19:53It will basically create a video like that, okay? Is it powerful, everyone? So, for example, I'll say, I want to create a video, okay? And you say, create, okay, video, okay, showing, uh, Indian, okay, PMP trainer, okay, uh, giving PMP training, a training, let's say, okay? AI training

01:20:06Okay

01:20:19In a garden, okay, with Arthur, okay, an American, okay? And an African

01:20:31And, uh, we have roses in the garden

01:20:35Okay

01:20:37We have different color roses in the garden

01:20:39Okay

01:20:41In the garden

01:20:43Okay

01:20:44And one penguin is also there

01:20:45Okay

01:20:46Like this, we'll say whatever you want

01:20:48I'm just trying to show you that, okay, you can add anything, okay? Penguin is also there in the part, in the

01:20:52Training, okay? You can just put it, okay? It'll take two minutes and play the video for you

01:20:58I'm just trying to show you that, okay? Because creativity, you will show, you want to show a flag or you want to show anything for that, okay? So whatever you want to show, put it in a storyboard

01:21:06Again, you can take on transitivity as well and create a video like this, okay? So let us wait for two minutes, okay? And then we'll see this

01:21:12So there are any number of things which you can do, okay? And, uh, time is less, okay? And, uh, the power is for

01:21:17So you want people who are trained in this, okay? So even we can recruit people, okay? Who are trained in this, but people are not putting that kind of effort, okay? So again, it should not be just a playtime, playtime kind of a thing, okay? But some Serious, for example, I want to market for my AI certification course

01:21:32People should be able to create videos, okay? And they should be able to create agents which we want to send or to get leads, a thousand leads, okay? They should be able to convert, okay? And different people, we want as a group, we want to do this, right? Does it make sense, everyone? So this part is also we try to check, okay? If somebody's interested, okay? He's looking for a job, okay? In a startup like us, okay? Definitely

01:21:51And the learning is very, very high, okay? People who are doing the real work, the learning is very high, right? So even Jav is doing a startup, okay? He is also like, say, a very senior project manager, okay? So he has their own startup, okay? But, uh, traditional SAS is gone

01:22:07Traditional SAS is gone, okay? Let's see this video now

01:22:10Tanir is an Indian trainer

01:22:13We have a penguin as well, okay? We have American, we have an African as well

01:22:14Okay

01:22:16Okay

01:22:17Like this, you can keep updating it

01:22:19Roses

01:22:20Can you see different color roses are there? Just add anything

01:22:23Okay

01:22:25Yeah

01:22:28So if I want to show a board, say for example, I can show, I can say, uh, edit, edit, I should say

01:22:30Where is my video? My media

01:22:34This one

01:22:37Edit prompt

01:22:40Okay

01:22:43Uh, show a board

01:22:46Showing here

01:22:50It'll update

01:22:59Interesting area

01:23:02So there are, there are 10,000 tools like this

01:23:03Okay

01:23:05So, but we want to, we don't want to spend all the time in all the, just playing with the tools

01:23:06Okay

01:23:08We should know, okay, how it is

01:23:09Now we should get curious how it is working actually

01:23:12So how does an AI read a video? How does it create? Okay, so if you want to learn that, okay, it will take some time

01:23:18But you have to find a specialty, a niche, okay, that you want to go into

01:23:21Computer vision, okay, videos and images, you want to go into data engineering, you want to go to data science, you want to become an AI project manager

01:23:28Okay, that is what you have to fix

01:23:29Otherwise, you'll spend five years in this and you'll spend, okay, lacks and lacks

01:23:32Everyone is charging 1 lakh, 2 lakh, 3 lakhs for this

01:23:34Okay, even we have invested our team

01:23:36Okay, we are trying to say that go for some trainings

01:23:37Okay

01:23:39Prompt engineer, people are charging 20,000 rupees

01:23:41Okay

01:23:42And they say you can only from prompt engineer, you can basically earn 50, 40

01:23:4450 lakhs

01:23:46I'm not sure about it, but okay

01:23:49But the more expertise you have, where you can convert it into a real business

01:23:51I'm going to say, okay, like somebody can create an agent for me, which can basically do lead generation as well

01:23:54Okay

01:23:57Now, let us see, okay, what the video is updated to

01:23:59Can you see AI board is there now? Okay

01:24:02Penguin is also there

01:24:03Okay

01:24:04People are there from different

01:24:05Okay

01:24:07And the roses are also there

01:24:08Yeah

01:24:10Very interesting

01:24:10So we have so many tools

01:24:11Okay

01:24:12Video creation, so many tools

01:24:13Okay

01:24:13Vise agents, we have

01:24:15Okay

01:24:16I have a plethora of things

01:24:16Okay

01:24:17You can tell me

01:24:18Okay

01:24:18We will take step by step every day

01:24:19Okay

01:24:20You can tell me

01:24:21You can take, we can take step by step every day

01:24:22You can tell me what you want to go for

01:24:23That's why I'm saying, okay

01:24:25So now the problem with us is this youth excellence also

01:24:29We have a thousand people there, and everyone is coming from a different background, and everyone has a different objective

01:24:33So how do you plan the training course content and all? Okay, it's a little difficult for us

01:24:37So here, if you have more managers, we'll go for like this

01:24:41Okay, prompt engineering is very powerful

01:24:43Okay, generative way understanding is powerful

01:24:44Understanding some tools is important

01:24:46Okay, yeah, there's so many things also, right? So AI is very, very good

01:24:50Okay, right now, it is good for showing demos

01:24:51Okay, productionizing AI systems has a lot of challenges

01:24:56Let me give you that spoiler alert

01:24:58as well

01:24:59I will tell you how to do that as well

01:25:00Okay, that is why companies are not so comfortable doing this

01:25:03But as a proof of concept, as a demoable version, it is very good

01:25:08Okay, with that, okay, quick recap, what we have done today? Quick recap, anyone? What are the keywords that we have done today? And let's also talk about the actionables

01:25:17Okay, what is actionable for you? If you're not taking action, it is just like a Netflix movie

01:25:21Okay, you'll enjoy the movie

01:25:22Okay, but you'll forget the movie also

01:25:23So, what are the actionables? Let's talk about actionables first

01:25:26Okay

01:25:28Actionables is, okay, I always suggest, okay, try to play with the tools

01:25:29Okay

01:25:30It was fun

01:25:32Uh, initially, okay, play with these tools

01:25:33So, tools are like chat

01:25:34GPT

01:25:35Okay, ask it anything

01:25:36Okay, ask it

01:25:37Wife is not happy

01:25:38How to make her happy? Something like this

01:25:40Okay, if you cannot find any subject, okay, just try to find any subject for that matter

01:25:43Uh, and say Gamma for PPT

01:25:45Okay, and say Claude for white coding

01:25:48Okay, something like this

01:25:50At least this much we can do

01:25:51Do the exactly the same thing which I did

01:25:53Okay, so in this, we created a calculator, okay, Tic Tac Toe, okay, in CH

01:25:58Okay, you can do some whatever work you're doing

01:25:59Okay, Gamma in create up, you just give your own, uh, subject

01:26:01Okay, whatever in in so presentation, whatever, what else we talked about? Okay, we talked about NA, okay, which is basically an agentic, okay, this one

01:26:09So we'll try to take at least one, okay, at least the use case of it

01:26:14Don't try to configure again

01:26:19It's a free tool, okay? For some, for it will give you some free credits, but at least try to find one process flow which you want to basically, this much you can do everyone

01:26:23Again, it is for you, okay? I can keep doing this, okay? I enjoy, I enjoy presenting

01:26:29I enjoy exciting people about AI, okay? Because it is a really powerful something which has not come, okay, in the last 50 years

01:26:32Okay

01:26:36I have seen, okay, more closely IT for 25 years

01:26:39Last 50, 70 years, okay, something like this has not happened, okay? So we want to leverage this opportunity

01:26:45Every, okay, we want to build this community

01:26:46So join my group, okay? I'll put this on YouTube as well, okay? So like it and, uh, put some comments, okay? What do you want to learn? Uh, I have done everything from, okay, building a chat GB from scratch, two data engineering, two big data architect, okay, till ML ops, okay, deploying it, okay

01:27:00A traditional AI as well

01:27:02Traditional AI is basically prediction engines, okay, to generative AI as well, okay, to basically, basically, uh, use in this fashion, okay

01:27:06So I can do all these things, okay

01:27:11I can present, I can, and at a good level as well

01:27:15We do professional learnings as well, but this was more initially like a social work, okay

01:27:17Like this is free

01:27:20So this session, okay, every day, uh, evening session is free

01:27:22Night session is free

01:27:23We do this for PMP as well, okay

01:27:25So PMP, it's a closed group

01:27:26This is an open group

01:27:28So call your friends if you are somebody's interested, okay

01:27:29And, uh, Let's make this community better

01:27:31And you also share, like I was asking Swati, okay, to present something today

01:27:40She has created some apps and all from wife

01:27:42Today she had learned from this session discussions only

01:27:44So she has created some apps

01:27:46So she wanted to, and she's doing something more on my co-pilot

01:27:48So, yeah, so we can take co-pilot

01:27:51I have Google Studio, I've done co-pilot, I've done, I've done trainings as well

01:27:55So, but it's really costly, not everyone will have it at home

01:27:58Um, so any number of things we can do, everyone

01:27:59Okay

01:28:01So very powerful, but good, we have started

01:28:04Okay

01:28:06So join, but join regularly

01:28:08What the problem is, people who are asking, who are charging two lakhs, three lakh rupees, okay, people are the participants here

01:28:10are more serious

01:28:13Now, the participant has spent three lakh rupees, he will come to the session as well

01:28:15Here, we are doing everything for free

01:28:17Okay, participants on Monday will come, two days is not coming

01:28:19So then, okay, there is no result out of it

01:28:21Right

01:28:23So that is why, okay, again, I don't, we don't want to charge here

01:28:24Okay

01:28:25But we want some seriousness

01:28:27Otherwise, there is just like information

01:28:28People will just feel good about it

01:28:30Okay

01:28:32There's no transformation

01:28:34We want in the next three to six months, we want everyone to monetize this

01:28:36We are already doing it, if you have seen that

01:28:37Okay

01:28:38You're doing it with all the trainings

01:28:39Okay

01:28:41Right

01:28:42From white coding to agentic AI

01:28:43Okay

01:28:44Agents AI basically can code

01:28:46You can do it from coding as well

01:28:47Somebody's from a technical background, you can basically do all these agents and it's very, very fine control

01:28:50I can tell you the whole project end to end

01:28:53Okay, how do you do it? Okay, with with an agent, just put the oneliner of the project, it'll give everything which you have learned in PMP, okay? So stakeholder finding, okay, meetings, M charter, okay, project plan, estimation, requirement document, okay, trace it

01:29:06It will create everything for you, right? Test cases, okay, it'll track the project for you as well

01:29:12So just put one liner of this project, that is the agent I'm trying to create

01:29:16So these are the aspirations which also we have, but it also we have a time limitation because we cannot just keep doing R&D, right? So we have to do something of this one as well

01:29:25So we do the trainings, professional trainings, but we also, so I would encourage you to do it

01:29:27Okay

01:29:30So for example, aur jave, okay? Dr

01:29:33Naza, you try to do it

01:29:35Okay

01:29:37So this much, can you do everyone? >> Yeah, this much, can you do? >> Perfect

01:29:39I'll just put this on the chat box

01:29:39Okay

01:29:40And evangelist

01:29:41Okay

01:29:42Arthur is not there

01:29:44Okay

01:29:45Naimat, you are there in my evangelist group

01:29:46Yeah

01:29:47So I'll just add you

01:29:48Okay

01:29:48So just give me a hi on WhatsApp

01:29:49Okay

01:29:50I'll add you to the evangelist

01:29:51There will be a post

01:29:52Okay

01:29:53Or I'll post this in Youth Excellence as well

01:29:54Okay

01:29:55If you do Youth Excellence, that's fine

01:29:56Okay, perfect

01:29:57Okay, I think this will end

01:29:58Okay, so it's midnight and, uh, we meet tomorrow, not Tomorrow

01:30:00Okay, Saturday, we don't have this

01:30:02Monday to Friday, we'll try to have this

01:30:04Was it interesting, everyone? Is it making any sense? Okay, is it making any value? Just please give me feedback, otherwise, we don't want to waste your time as well, my time as well

01:30:11So, we want to do something which is of value, okay? So, for us, for both

01:30:13Okay

01:30:14Yeah

01:30:15So, if it is value-adding, definitely

01:30:17And because I have learned it, okay, within two, three, two years, okay, I spent so much money as well, and I broke my head also on a lot of things

01:30:20Okay

01:30:24Then I felt it was, it was a little easy if I could do it systematically

01:30:27So, systematically, what I suggest is, okay, first of all, play with ready tools

01:30:29Okay

01:30:31Then, okay, go with little, uh, configuration tools

01:30:33Okay, like we saw today, okay, configuration tools, right? Finally, okay, we will go to really start doing, okay

01:30:41So, start building your own, okay, building your own agents, okay, all these things, okay

01:30:49Finally, you want to go with private LLMs

01:30:50This is what the companies are looking for

01:30:52Private LLMs means you can create a model, okay, and basically train it on your own data, okay, on-premise, okay, cloud

01:30:57Lot of services are there which can easily configure, okay, but on-premise, can you do it? That the data is basically within your organization only, okay? And open source, okay, open source modules using open source models

01:31:06So, this is another thing, okay? Then how do you basically deploy it, evaluate it, okay? So, MLOps and all those things are

01:31:09There

01:31:12So, this is the final thing we want to come out

01:31:16Yeah

01:31:20So, privately, you can create an LM, okay? Use an open-source model, okay? And basically, evaluate and put it on production, okay? And, uh, so there's no cost

01:31:24There's no recurring cost

01:31:25There's no cloud on-premise, okay? Initial

01:31:27Okay

01:31:29There's a little investment once you are able to do it

01:31:30So, this is what we are also looking at

01:31:32This is what the crux of the, I mean, the companies are looking for this

01:31:35We have been, we have been approached by many companies wanting this

01:31:44Now, I'm not able to find people

01:31:54People don't understand even AI LM, okay? They don't even understand either they're using it, okay? So, how do we recruit people? So, either, and hand-holding requires a lot of time, okay? So, this is the challenge we are facing, okay? So, yeah, so you can, uh, you can suggest also if you know some people like this who are interested, okay? Who are, uh, who want to focus on AI, okay? Definitely, we have some openings as well, okay? Yeah, perfect

01:32:03So that, okay, we'll end the session tomorrow, uh, not tomorrow, Monday, okay? 10:30 will be 10:30 to 12 is what the session timing, okay? Yeah

01:32:09Please, I will put this on YouTube as well, okay? Please give a like, okay? So our YouTube channel is Tan Globus, okay? Tan Globus PMP

01:32:18If you put something like that, we get, I'll share the link as well, okay? Yeah, thanks everyone, okay? Hope it is a good session and, uh, you can just suggest me also what you want to learn, right? Good night

01:32:21Bye then

01:32:25Okay, see you then, everyone

01:32:28Bye for now

01:32:28Monday.