Modern Route Generative And Agentic AI Induction Session

Key Takeaways

Hey guys, uh we will just be starting in another 12 to 14 minutes. First of all, welcome everyone. Uh I hope everybody is able to hear me out clearly. I'll just show my face uh in some time. Uh but let's wait for another 12 minutes. Okay. I hope everybody's excited. Okay. Now, can you see me quickly? So, how are you all? I hope everybody's doing absolutely fine. Uh I hope you know you're enjoying your life. I hope everything is going on well right. Perfect. Yeah. Hello. Hello. Hello Kesh. Good to see you. Perfect. Perfect. Perfect. Yeah. So welcome to the induction session. Uh amazing induction session we are going to have. Uh let's wait for everybody to join and then we will be starting the induction session and welcome to the modern route of learning generative agent AI boot camp. Yeah, we we are just going to have the induction session. It'll be quite amazing and uh you'll love it. You'll love what we are actually bringing in front of you, right? Yeah. So good. All together good. Yes, I can see all the messages. Great. Yes, I can see all the messages. Perfect. [snorts] Trish, is this audio oneway audio? Uh after the class, we allow everybody to talk. Uh we'll take the doubt clearing. I'll talk about it how the sessions are going to go ahead. But in between we do not allow things because uh again there will be a lot of disturbance uh with respect to this. Okay. Yeah. All the sessions are recorded uh and it'll be available in your dashboard also. Okay. So let me just log into my dashboard also and today I have to explain you each and everything with respect to the dashboard everything. Uh so every information you'll be getting it as it is an induction session. We are not going to learn anything new today but we are going to understand about very important things like our dashboard how dashboard will be working each and everything. Okay. But I hope everybody was able to receive the email. Uh yeah I guess you received the email with the link along with that you could also see in the workshop we able to find out the links and all. Okay. >> [clears throat] >> Okay, while on the call, do we need to open any app, VS Studio, etc. Don't worry, we will talk about it. Okay, from the next class, we'll start with first of all the installation each and everything step by step, we'll go ahead and uh hope we for your workshop pop-up is not active. Okay. So, first of all, everybody should download Krishna Academy app. Um, how many of you have already downloaded Krishna Academy app? Just give me a quick hands up or something you know you will be able to find it out. So, go ahead and download it. That is the first request because you'll be get able to get the notification everything as such. So go to the play store or the app store, search for Krishnak Academy app and uh you should be able to get it. Uh please go ahead because there will be some important notification about your classes each and everything. Okay. Is it okay to join from mobile zoom for today? Yeah, you can. Um today is more an induction session. Uh we will talk about our platforms, how we are going to learn modern route, each and everything. Okay. Yeah. So yeah, we'll wait for another four to five minutes. I want more people to join and uh you know uh once we are ready I think we should be able to go ahead and talk about things over here. Okay, perfect. So super excited to take this session u where we learn new things but uh from your dashboard I hope you also got the access of the previous course of the generative AI boot camp. Yes, in your dashboard in your courses section. Yeah, in the courses section. So, uh yeah, just go ahead and see in the courses section. Anyhow, I will be explaining it. Okay, so in your courses section also you'll be able to get the previous batch recording and this batch has more information, more more content because there are so many changes that has happened just in past 6 to 7 months. Okay, the session is 3 hours. So, we can change the timing from 7 to 10 p.m. No, it will not be possible. This is basically based on most of the audience who will be active. We cannot take specific request. I joined this core class through AI mastery bundle. I don't see modern route and agentic AI boot chat window asam. I will be adding it. Don't worry. I'll be providing you the access from the AI pro batch. Okay. Just after the session I will be providing it. Okay. The link from Python section in AI boot camp is not working. It should be working guys. Okay. Uh but let's let me check. Okay. How many months this session will be going? I think it is 5 to 6 months. Okay. Perfect. Can you uh name the app? Okay. Perfect. Krishna Academy. Just search for this app. Krishna Academy. Okay. in app store in wherever you want you can basically go ahead and search actually he needs to navigate to the YouTube link yes mash absolutely perfect so shall we start everyone yeah it's already 8 p.m. T the sessions we'll talk about what our course is all about each and everything. Okay. Okay. Show some excitement something thumbs up some nice emoji. Zoom now has some amazing emoji. Uh hit like whatever things you can do. Yeah. Perfect. Perfect. Okay. Great. So first of all I think Sunny is also there. Sunny, you want to show your face? So you can go ahead and show. >> Uh yes. So can you hear me? >> Yeah, I can hear. >> Yeah. So I hope everybody's able to also see Sunny. >> Yeah. >> Yeah. Hello everyone. >> Okay. Perfect. >> Yeah. >> Great. Perfect. So let me uh quickly take you ahead uh with the induction session. Today is the induction session of the modern route. I'll give a brief info about our entire platform. How you'll be able to see the course recordings, live sessions, where the links will be, each and everything, whether you'll be able to get certification from this course. Um how many of you want certification? Just raise your hand over here. [snorts] Yeah. Oh me me me me me me me me me me me me me me me me me me me me me me me me me me me me me me me me me me me me me meme me me me me me me me me me me me me me me me me me me me me me me me me me me me me me me me me me me me me me meme me me me me me me me me me me me me me me me me me me me me me me me me I need job me me me me me me me me me me me me me me me me me me me me me no no no no no no no no okay people are saying no okay great okay no certification okay we don't believe in certification so we will definitely not be providing it okay why I'll tell you if you want a self-written letter by me that you are the best data scientist or best generative or agent engineer in the world better than Elon Musk or anyone who is development or better than cloud code wherever you want whatever you want you let me tell me let me know I'll give that letter to you okay after completing this course okay but yes uh if you want uh uh completion letter where you say to your office people so that you get reimbursement of the course fees and all then you can ask me a letter I can give that okay yeah Krishna academy I app is available in iOS and play store also okay yeah perfect let me go ahead and share my screen uh so Uh this is our website. Okay. Krishnag.in. I hope everybody has gone through this website. I hope so. Right. Many people have actually u gone through this particular website. Each and everything is over here. So this is the modern route full stack generative AI and agentic AI boot camp. And uh in this specific boot camp what we are basically going to focus on you will be able to see that first of all the batch is starting from March 15, 2026 that is today and uh you'll be able to see the classes are on Saturday and Sunday 8:00 p.m. to 11 p.m. IST. Okay. So let me quickly open my scribble notebook so that I'll also write it along with you and if there is anything I can also go ahead and tell you. Okay. So first of all this batch that is modern route which is really important to understand is that your batch is basically starting from 15th March 2026. Okay. This batch will be for I think 5 to 6 months. 5 to 6 months. The class timing is 8:00 p.m. to 11:00 p.m. IST. Okay? And after the class, we will also be having doubt clearing where we'll allow you to talk. We'll raise your hands. But you have to be patient with respect to that you know like uh everybody's doubt will get cleared. We'll be there till the end of the session each and everything. Okay? And you know the session may go till four or 5 hours. Okay? So it is up to you how much you can actually sit each and everything and such. Okay. Perfect. So till here everybody's clear. Yeah. Only Saturday and Sunday the classes are Saturday and Sunday and Sunday weekdays it will be difficult for you all to join. Okay. Manage date it will not be there because this is a modern route. We really want to focus on people who wants to quickly get into generative and agentic care. Okay. So this is the first information that I want to share with you. Okay. Now since you have taken this okay once you have bought this let's say enroll now. Okay. If you have if you have seen the syllabus we'll talk more about the syllabus as we go ahead. Then the next step is that go ahead and log into learn.crishnakacademy.com. Okay. So this website you have to login. Okay. This is our back end which will be hosting each and every information. Okay. That basically means all the session will be available over here. Courses will be available over here. Each and everything. So once you log in do you see something like this? Yes. I hope everybody is able to see this. This is our dashboard. The LMS dashboard that we have. We have partnered with a company which is called as tag mango. Okay. So tag mango is a company uh who provides us this specific dashboards where we can host our videos. We can provide the course access each and everything. Clear? Now the next thing that I really want to focus over here is that the course access that I'm going to give you. Can anybody guess for how many months this course access will be there for you? So it will be for 2 years. Okay. Initially I thought 1.5 years but I'm planning to extend for another 6 months. Good news everybody. Initially I had announced 1.5 years but people like people told me that please make 2 years. So I'm trying to make it as 2 years. So good announcement for you. I think you are happy enough. Uh so two years the course access will be there. Along with this we also give you the previous course recordings previous course recordings so that if anybody wants to quickly get started so previous course recordings will be available. Okay. Now the first section that you see is something called as a feed section. Do you see this feed section? Yeah. Do you see this feed section? This feed section is just like your Instagram uh LinkedIn feeds. Okay. If somebody's posting something, you should be able to see this. Okay. Now, myself, I'm an admin, but this is my another user ID where it's just like a normal user. Okay. So, any post that is probably coming up will be coming up over here. It can be your learning journey like how in LinkedIn you can actually post things, right? Your learning patterns each and everything will be visible over here. Clear? Very simple. Yeah. Okay. Understood with respect to the feed section. The second thing is that you can download our official app available on both iOS and Android. Okay. The app name is Krishnak Academy. Okay. So, this app will also be having the same thing. We do not sell any additional courses inside this. You'll only be seeing something like what are the courses, what is the meeting link, each and everything. only necessary information. Okay. So this is the app where you can basically go ahead and join. Now see you can see over here induction session join like this also you should be able to get right. So that basically means this link this webinar link has been enabled over here. Okay. And this is this specific class link. Clear everyone clear till here? Clear. Clear with respect to feed. Now the next thing is that there is something called as workshop session. Okay, there is something called as workshop session. Now in the workshop section you can see that there is a workshop link right. So from here you will be able to get your zoom link. This link will be enabled 15 minutes before the class and you can directly click on join and you should log into the zoom and automatically it will take you to the class. Clear? Yeah. Along with this we have also sent you mails right. email also you have received right from our support team you have received the email how to join the class and all right if you are not receiving the email probably it should be in your spam folder okay just go ahead and check I think uh it'll be from high at the rateacademy.com okay clear yeah everybody clear So all your session links will be available over here from the next weekend Wednesday. This links will be visible to you Wednesday or Thursday. We schedule it on Wednesday or Thursday. So that the link will be available for you. Now this is the most important section which is called as courses. Do you see courses everyone? If you have taken this batch, this two courses should be visible to you. Yeah, this two courses is visible to you. This is our completed generative AI and Agentic AI boot camp and this is the current one. So what we thought we will be giving you the previous recordings also. So if you go ahead and click over here, you can see that all the classes links are over here. You see this fine-tuning vector database. Yeah. Clear everyone. Everybody clear? Yeah. So in the courses section you're able to see these two. One is this, one is this. Right now all the previous recording classes recording are available over here. Right here there may be less content because this was uh 6 to 7 months back batch. Okay. In this we have added more content more syllabus. So we'll show you the syllabus also. Nagages you will not be able to talk guys. See guys try to understand. Sorry it's not Nagages it's uh Anil you cannot talk right now. After the class we will give you an option to talk. At that time please raise your hand but not right now. Let me complete the class. Everybody just focus on this. Clear? Shiva I didn't see in my dashboard. Which dashboard you did not see? Just go ahead and learn.academic.com. Login with the number with the email id that you have registered the course for. And here you should be able to see this. Now in start training modern route you can see that I've put some prerequisites right. So if I click on python prerequisite you can go ahead and click this link and automatically this link will open. Okay. So here this is the python video. Then you have complete machine learning in 6 hours. Complete NLP complete deep learning in five ops. Clear. Now from the like today's session since live is going on after going after we complete the live session within 24 hours we upload the recorded version of this particular video. Okay. So whatever recording is basically happening okay directly over here it will be available to you within 24 hours. Before 24 hours we'll definitely try because see all the session that we are doing it goes for 4 hours 5 hours sometimes 6 hours last time our session went till 7 hours also okay that many doubts were there people required setup help each and everything okay Python videos are 6 years old then also the concept are same only no some new additional libraries may have actually come okay so don't worry this is just to give you the taste okay how to work with Python and R and beforehand we have said that prerequisite is Python for this course clear so this are your courses this course two courses you'll be seeing one is already having this one and one this is there where you'll be having the recent things okay this level up don't worry about now right now because in this level up we are planning to put some quizzes okay right now it is not enabled for your subscription plan but once we have some quizzes some assignments, hackathons, we will be updating it over here. Okay, clear. So if you're seeing three courses that basically means you may have enrolled in some other course of ours, right? So people how many courses you enrolled that many number of courses will be visible. Okay. Clear. Now the next thing is that the most interesting session uh most interesting tab is messages. So here you can see this community chat access you'll be able to get it. Okay, people who are from AI pro batch don't worry I will provide you the access but you'll be able to see that all your community members will be available over here they'll be chatting they'll be discussing anything that you want to discuss just one request do not create separate WhatsApp group because I want everybody you to be in the same platform okay sir I will create a WhatsApp group we will do oh yes come on let's talk hey hi how are you this that here you have come for studies okay so focus some studies. Okay. No, no, sir. We'll do group studies, sir. We do this and all. Aishi says that we already done I guess. So, yeah, WhatsApp if I have created, I will ban you from the group. Then you'll be in the WhatsApp group only. Okay. I'll refund your money and I'll just close that group. Okay. You'll be saying, "Eric, sir, no sir, very group studies, sir. Nobody has learned in group studies." Okay? Nobody has learned in group studies. They'll just do time pass. I've seen such a WhatsApp group they'll talk what all not all okay so I don't want you all to be getting go in another group and waste your time you have come here for studies focus on the studies learn from the class develop get a job and go right this is very much simple for you here why you have coming and investing your money and time it is very simple learn things try to get a job get a better package try to upskill right and just go ahead Yeah, that is the simplest thing here WhatsApp group. No sir, we after you know doing group projects then we'll go outing this sir hotel these all things. Don't do it. Okay, just focus on the studies that is what you have actually come for and just focus on that those things right. So this is the entire thing very simple app no very complicated you may be thinking no sir this is very difficult app no it's very simple no I told you new course recordings will be available over here you can just go ahead and view it right the induction session will be over here you should continue resources section it will be uploaded the resources will be uploaded uh you know when Sunonny will be taking the class he will be sharing you the resources in the class also along with that he will be attaching also Okay, very much clear, simple, nothing as such. Okay, now let's go ahead to the most interesting thing. So if you go to krishnag.in, okay, I have also created a specific road map. Okay, now this road map. Now this road map is one of the most common road map that is being used in industries based on the various roles and requirements. Okay, let's say you have actually come to this modern route, right? So here you'll be able to see that we are having three paths. Okay. The first path is something called as traditional path. The second path is called as modern path. And the third path is something called as advanced path. You don't know anything about AI. You want to start from basics build a foundation you know build a foundation. Moan says how many people joined for this course? Mo one lakh people. Any problem? Tell me. 100k people happy. So if you are starting from the beginning right if you are starting from the basics if you really want to focus on the foundation right then go ahead with the traditional route you feel that no I want to get into generative AI I want to get into data science machine learning but I really want to first of all focus on my foundation then probably go to the next step right then you can go ahead and see the traditional route in the traditional route the first thing is that you learn about data science, you master DS, MLCV, NLP, then you add generative AI skill sets, then you learn about agentic AI, right? But the batch, this batch we had launched couple of months back. Okay? But now what we are launching is modern route. Let's say if there is any person, they have programming background knowledge, they know something about machine learning, right? they know something and they quickly want to get into generative AI and agentic AI because they really want to do some good projects in the company then modern route will be for them in the modern route first you learn about generative AI we basically start from transformers in our classes right so generative AI first then we master geni LLMs then we add aentic AI skill set then parallelly we learn data science fundamentals okay so here you can see with respect to this particular road map if you just go ahead and click The entire road map is given along with free videos, free materials, paid content, everything is given, right? You should not say kish you only you know sell courses. There are some many people who says this. Okay, but anyhow I don't um I don't care about it. Okay, you can see with respect to any module you have a paid, you have free, you have Udemy courses. Okay, so you can go ahead and take anything that you require. The difference is very simple. In free you not you may not get that much handholding. In Udemy you may get some amount of handholding and in paid live session boot camps you get more handholding. Okay. So just go to krishnik.in see krishnik.in and here is the road maps right. So just go ahead and see this clear now over here you go. But what is our plan? What is our route? right now that we are trying to choose tell me it's a modern route in the modern route we start with generative AI so here you can see Python programming language then NLP foundation then deep learning concept basic deep learning concepts then advanced NLP and transformers then generative AI and LLMs right then vector databases and rag then agentic AI MLOps cloud LLM ops And then this is my industry ready projects. So this way we are also going to cover your syllabus right detailed very detailed syllabus. Now everybody wants to see the syllabus. Yeah. Yes or no? You want to see your syllabus? Let's go ahead and see the syllabus. So once you click on enroll now in the enroll now you will be able to see one course syllabus link and this is your entire detailed course syllabus full stack generative AI boot camp fine-tuning rag agents genm ops everything it combines right we basically go ahead and start with foundation of modern genai where we start learning about generative am models transformers how the transformer architecture is and all right then we understand LLM SLM and multimodel LMS right then we have API for accessing LLMs fine-tuning techniques each and everything LLM hosting on your own server prompt engineering retrieval augmented generation rag advanced rag multimodel system agents multi-agents reap agents so modern route evaluation strategy guard rails all these things we'll be including right MCP cloud services for gen I see module 13 module 14 is no code agent tools and module 15 is end to end project with deployment right there's so many projects that we are going going to cover so total you can see 16 modules are there enough syllabus or you want more yeah definitely if something new is coming over there we will try to include that context engineering will be the part in eval valuation techniques. Okay. In rag we will talk about context engineering. Now tell me in the entire world who teaches this much our we have an exceptional success rate. Okay we don't showcase our success rate that much but we have a exceptional success rate. Okay. When I say success rate people are amazing. They are getting jobs. They're getting each and everything out there. Okay. One best best uh you know experience I will talk about it you know one best experience that I really want to talk about it. >> Yes sir. So this is a updated syllabus like couple of more module have been added here like uh cloud code and couple of more projects. So yeah you can showcase this one as well. >> So at the end I think we have also added a cloud code. >> Yeah. So in the previous syllabus we were having 16 module inside this we have 18 modules. So one extra project along with the cloud code cloud code. Okay. >> Okay. 17 18 18 modules you have added guys. >> Yeah 18 modules >> just to make sure that I will also send this link to everyone. Okay. So that you can go ahead and click and see this. Okay. So cloud code is also added because it is required nowadays. Everything is basically added. Okay. Hi Krish, this is Amit Junija. Is this first time you're running this course? If you're not, see the previous course access is already given. Clear? Okay. Clear guys, you can download the course syllabus and then you can check it out from your site that we have we have covered almost everything. Everything. Okay. And when I say we have a very good success rate that basically means people get easily jobs when we complete all these things with proper uh dedication. Okay, I'll tell you one recent incident. You know, uh like our students when they go for the interview, right? The interviewer also knows us because the interviewer also learned from us and the interview also has learned from us, right? So that is the kind of experience that things are happening, right? And that's the most amazing experience. Okay. I think Sunonny can also talk about this, right? Sunonny, I think in your company also you may have this. >> Yeah. So definitely okay. >> Not one time, many times. Yeah. Many times. Okay. Clear everybody now. Uh okay. We have seen the syllabus. We have seen this. Now you can see this road map also. Anyone you want to go ahead with the advanced route? Okay. Last road map that we had is something called as advanced route. In the advanced route we have you can learn all three in parallel. Now these are for those people who already are like very amazing in terms of experience in terms of architecture in terms of each and everything right and they really want to quickly get started by things by learning things. So they can actually go with this advanced route and if you want everything to learn from us you know we also have launched this plan which is called as AI pro. You can access any of these batches on a yearly basis subscription. So if anybody's interested in that, please call our counseling team. They'll help you out. Okay? And let's say that if you're taking AI pro, what we do is that we subtract whatever course fees that you have given for this batch and we we take the we give you the entire AI pro for the remaining amount. Clear? Yes. And then finally whenever you see any of the road maps, we are also developing one industry ready projects. Right now here you can see there are 68 industry ready projects. At the end of completing anything you can go ahead and take this. We have we have developed some amazing projects for this which will be very very much helpful for your rumés portfolio and everything clear so very much simple guys. Did you like this? Okay kiran what is AI pros? Please call our counseling team. They'll guide you with everything. Okay. Yeah please call our counseling team. I hope you may be having their counseling team number. They'll first of all understand your requirements and then only they'll suggest. Okay. Does AI pro cover the industry ready projects? No. Industry ready projects is a separate subscription because lot of efforts is basically gone. For industry ready you have classes every Saturday and Sunday also. Okay. Perfect, perfect, great, great, great, great, great. Okay. Now over here let me go ahead and write. Will you get a certificate? It is simple. No certificates. Why? Yeah. This world is called as a builder world. You need to become a builder, not a certificate keeper. Okay? Try to build things. Okay? Don't worry about certificates. Certificate is waste of time and it will always be a waste of time. Okay? I can give you a certificate. uh in the back end I just have to enable something with respect to but I don't want to build that habit for you what you'll do while putting certificates okay yeah we'll be talking about cloud code we'll talk about uh many things as such don't worry clear okay uh we have spoken about okay doubt clearing everything and all okay one very important thing guys sometimes you know if holidays are coming in between we may not take that weekend session instead what we'll do is that we'll keep that weekend session on Wednesday or either it can be on the weekend itself. Okay. Sometime if some festivals are coming and we cannot take the class, we need to cancel that particular class. Clear? Okay. Now along with this let's talk about jobs. We have some very good well-wishers from different different companies who keeps on who keeps on giving us related to jobs. Okay, related to jobs. Let's say some of the companies has requirement of 30 developers, 20 developers, right? Recently, you know, one of the company they gave us a requirement for somewhere around 25 um jobs requirement for AI engineers. Okay. So, whenever we get this, you know, we will be sharing it in your community group itself. So, that's the reason I'm telling you be active on the community. We will try to share this entire jobs information. We will be giving the HR email. You just need to go ahead and send your profile. Okay, send your profile because we have so like companies have so much trust on us. Uh we get this regularly, right? You'll be able to see once we start right within a month we're going to post something for you all also. Okay. So with respect to any kind of job also we are not guaranteeing job but at least we'll Sir, your voice is not audible. No, we cannot hear you, sir. No. Hello. Yeah, now audible. Yeah. Okay, now audible guys. Yes, now audible. Yeah, just a second guys. Okay, I think my mic suddenly it happens. Some problem happens over here. But don't worry just a second. Hello. Hello. Yeah. Now, now I'm audible. Clear, right? >> Yes. Yes, sir. You are audible. Yeah. >> Okay. Perfect. Apologies. Apologies. Apologies. Okay. Okay. Now my screen is visible everyone. Sunny, is it visible screen? >> Yes. Yes, it is visible. >> Yeah. So when I was talking about the job section, we are going to share that in the community group. Okay. Uh wherever we have jobs and all even uh you know uh anybody gets let's say from our contact from anywhere in any companies we are going to share that okay uh I've covered almost everything sun is there anything that I left uh I hope uh >> no I think sir I you covered almost all the thing. >> Okay. Uh >> okay let's do one thing Sunonny uh let's take a detailed uh syllabus discussion which you can actually do okay >> yeah yeah sure I can give the complete uh overview of the syllabus and then we can take the doubts okay >> yeah okay guys so I'm sharing my screen uh I'll give you the like the complete uh detail about the syllabus and then we'll go for the live doubt okay so if I'm audible and visible And if my screen is visible, please let me know. Okay. Uh Sunonni, before we go ahead, right, I want to quickly make one announcement. Guys, uh how many of you are attending this Nvidia GTC event? It'll be important for you all the sessions I guess. No. Uh how you do you have the pass anything as such? No, you don't have the pass. Okay. Can you click this link everybody? Uh I'll give you the pass over here. Okay. So, just go ahead and register for this. Everybody will be able to get a virtual pass. Okay. Just sun can you see the link? I think I have >> Yes, I can see and even I clicked on that. See guys, this is a this is where you can register. >> Yeah, just register. Yeah, >> I have given you the link guys. Uh this will be a free virtual pass for all my students. Uh what Nvidia has actually given and uh soon I'm also planning to conduct a hackathons uh with Nvidia. Uh we see the links you you cannot click the links everyone >> again I shared in the chat guys please check now guys just see this. This is the link. Just click on it. It's working, right? Click on it. Register it. Everybody register it because uh you'll be able to see a lot of virtual sessions. You'll be seeing whatever work is basically going on each and everything. Okay. But after the >> Yeah. Yeah. Tell me. >> So guys, if you cannot click uh right, so just copy from the copy and paste it the browser. Yeah. >> Again, I'm sending it. Copy and paste it. Yeah. >> Yeah. This is virtual. If you have capability, go to California. I'm only not going this time because I have some work and all. Okay. Copy does not have any permission. But I think you should be able to click. Many people are able to click. Yeah. Give organization email if you have. Give personal anything. Anything you you'll be able to get the whatever you have it's like you're just trying to connect it okay Sunonny you can continue please uh yes sure thank you so guys uh my screen is visible can you see this uh syllabus PDF please uh let me know so that I can give you the like complete detail about the syllabus [clears throat] okay so uh as we are starting this batch so this is just the induction session guys so in uh today's uh session we'll just discuss the syllabus and some general question answer and all. Okay. Uh and after like from this uh sorry after this session onwards uh we will be like deep diving into this syllabus. So first we'll start from the system setup and all. So whatever systems uh requirement uh and the configuration is like required. So I will let you in the class itself. So we don't require many very high-end system. You can uh just if you have a simple configuration like i5 or even Ryzen 5 with 16 GB of RAM, right? And even the basic uh GPU like RTX 40 series or RTX50 series, right? So that will be enough. If you don't have GPU then no need to worry. Okay. Uh if you just have i5 with the 16 GB of RAM, i57 or Ryzen 5, Ryzen 7 with the 16 GB of RAM that will be enough. Okay. for this entire course because here we are not doing any sort of a training uh most of the time we are going to load the model from the APIs and if we want to train anything then we will take uh we will like train it over the Google collab we'll take a pro subscription of the Google collab or else we'll train it over the cloud okay so high-end system is not required but still if you want to experience the GPUs so you can take at least 40 or 50 series with at least 8 GB of VRAM so that you can uh run the OAMA you can do the inferencing using the quantise model and all right so this uh doubt is clear I think many people were asking to me uh like what would what should be the system configuration and the same thing goes with the Mac right so the same kind of configuration you can bought for the Mac also the compatible configuration okay we don't require very high-end system so in Mac even if you working with M M1 or M2 chip, right? Which is a like uh uh the older one. Okay, that will also work. And 16 GB RAM is sufficient. 16 GB RAM is more than sufficient. Understood guys? Yes or no? GPU wise uh sorry uh RAM wise 8 GB RAM minimum 8 GB. Okay. If you are below 28 GB then you might like feel some lagging and all while you are doing multitasking. If you are opening so many tabs, different browser, okay, different ids and all. So I would highly recommend you to take at least 8 GB of RAM. Just check out the slot. I think one more slot would be there inside your system. You can f fit one more uh like 8 GB of RAM over there. Okay? If someone working with the older system uh then uh no need to worry, right? You can do the practical and all the experiment practical and all inside the collab itself and the end to end project. I will tell you how you can run inside the local system. Understood? Is this uh doubt clear or not? My voice is clear guys. Tell me yes or no. Yes. Course recording validity is for the 2-year. Okay. Great. So you understood about the system configuration. Now let me give you the complete detail in the idea about the syllabus. Okay. So as we uh as we have shown you we are having in total 18 module right. So uh guys uh this is the generative VI boot camp right? So we will start from the transformer. Okay. Uh we are not going to discuss the NLP machine learning right those concept over here. we will directly start from the transformer because the modern generative right the LLM foundation begins from the transformer itself and even the in in the interview also they won't ask you much MLDDL and all MLDDL knowledge is required the basic knowledge is required that is fine if you have if you know that then it is fine if you don't know then then also it is fine okay because guys in practical we are not going to use that knowledge in practical We are not going to use that knowledge. Those knowledge is just for the theory purpose. That knowledge just for clearing some like interviews and all. Okay. If specifically they have mentioned about the machine learning and deep learning then you need to learn about the machine learning and deep learning some basics and all. Okay. If you don't know anything about that then it is fine. If you know then also it is fine. So this thing is clear. Tell me guys yes or no. So machine learning and deep learning is not required. Right? in-depth knowledge is not required. If you already know, then it is fine for you. If you don't know, then also it is fine. Okay. Now, uh inside the module one guys, we'll understand the foundation of the generative AI, right? So, uh in foundation what comes? So, in foundation transformer comes, right? Uh in foundation this embedding and the encoding comes these are the important topic. So, for understanding for getting the knowledge of the large language model, we should we'll have we'll have to understand about the transformer. Okay. Because every LLM architecture belong to that fundamental architecture their parent architecture that is transformer right you can check out with their with the research paper attention all you need once you will google you will get the research paper okay so this is the module one where we'll discuss about the foundation of the generative then inside the second module we'll take an understanding of the LLM SLM and multimodel LLM okay so nowadays the LLM is capable to do everything right it can process uh text is it can process the images even it can process the other different type of data so we'll understand like how LLM is capable for doing these thing okay we'll I will show you the different architecture we'll go through with some SLM also okay which is having lesser amount of parameter and which is very like capable model right and then we'll discuss about the multimodel means one LLM how it can process the different type of data so once we'll have understanding of the foundation of the generative AI and the LLM, SLM and multimodel LLM. Okay, we'll understand how we can access those LLM. So for accessing the LLM, right? So what we are doing, guys, tell me. So we are like we are reading from several APIs, right? So we are loading the model from the open a API, from the cloud API, from gro API, from open router, from hugging face API. Okay. Or if you want to uh download the model in our local so that thing is also possible. So we'll understand whole sort of a thing right. So in how many ways basically we can read those lm and we can utilize in our application understood is this thing clear or not guys this three module is clear tell me API from open router yes so we have many paid variants paid version as well as the free also. So if uh if we required a very good model high-end model like GPT cloud okay Jimny model then we'll have to pay okay we'll have to like add some credit in their account in their API account then only we can load the model but if we want a normal model just for creating PC's just for some experiment and all then we can load the model from the uh free res free uh resources also okay free from the free API also we can directly download the model from the hugging phase we can directly load the model from the grog. Okay, we can load from the open router and from the different other places. So each and every place we'll discuss like from what all places we can take the model and how we can utilize in our application. Now apart from this one guys uh we load the model from some managed platform also. So have you heard about the Azure cloud foundry and AWS bedrock? Anyone heard about this a Azure cloud foundry? anyone worked with this Azure cloud cloud foundry? I think the name earlier name was the Azure OpenAI, right? It was not the uh Azure cloud foundry. Okay. So, Azure cloud foundry AWS bedrock from these places also we can load the model and whenever we works in an industry, right? So, we load uh the model from this managed platform also. So, if possible definitely I will show you how you can load the different model from there as well. So, making sense to all of you yes or no. So we are going in a sequence. We'll be going in a sequence. First we'll understand about the fundamental which will be like more theoretical okay for clearing the interview for answering in an interview. Then we'll come to the practical right. We'll understand the different different API SDK and all. Now after this one guys so here I uh included one module. Now how many of you know about the finetuning? Tell me do you know about the finetuning? So fine-tuning is a process where we can modify the knowledge of the large language model. Okay. So uh once we'll get to know about the LLMs right we are able to load the LM we are able to download the LLM then after we'll understand how we can fine-tune this model. Now for the finetuning nowadays we have a different type of framework okay variety type of framework but guys my favorite is a unsllo. So we'll discuss about the fine-tuning what all methods we have in how many ways we can fine-tune the model we'll discuss about the hugging face based finetuning and on top of it whatever framework have been created like llama factory accel okay and the different other framework we'll discuss about that as well got it guys yes or no is it clear to all of you yes okay so we'll get a enough understanding about the finetuning right after loading the LM after understanding about the LLM. Now guys tell me after the finetuning definitely one project will be required let's suppose you want to download any SLM model okay uh you you wanted to fine-tune that model you wanted to like host on your own server how we can do that right how how how you can do that so I'll show you that inside this module right so how uh you can download one model how you can fine-tune onto your own data and then how to host that model over the server so here we'll use the AWS test we can uh use the AWS SageMaker uh uh service. Okay, it will directly allow you to uh train the model directly host it as a API and then uh after hosting that model we can use it anywhere. Okay. So, uh in a same way basically we are also doing in the industry and many uh companies many enterprises the big enterprises who can spend the money they are doing that okay they are hosting their own LLMs on their own platforms. Agree guys yes or no? Now tell me till this five module everything is clear. I think we are going in a sequence and we are under we are understanding uh every we are doing everything basically in that way only like it is required in a industry. Yes or no? Clear guys? If it is clear just give me quick thumbs up so that I can proceed with the further uh module. Okay. Timeline for the each module. So will take five to six classes. Okay. Five to six is a maximum one. So smaller module basically it will take uh 3 to four classes 2 week and the bigger module it will take up to eight classes. Okay. So it depends. Now guys once we are ready with the finetuning LLM hosting and all everything now we'll come to the more practical side. So from uh this module onwards whatever we are going to learn so everyone is going to be use it actively. Okay. So uh they are they are uh like using the prompt engineering technique the different different prompt engineering technique prompt uh there are different prompt hub from there we can directly load the prompt. Okay. How in how many ways we can write the prompt? What is a configuration level prompt? What is a configuration level prompting? What is a conditional prompting? Okay. What is a uh like react prompting right uh and the uh other like different prompt template and all from the different different module. So we'll understand that over here inside the module 6, right? So prompt engineering is important because uh everything uh depends on the instruction only whatever instruction we are providing to the LLM. Got it? So module 6 is important. Prompt engineering is important and we are going to use it right at every place right whether we are going to be learn about the rag system or the agentic system after that guys uh we will come to the rag so this is very important part right this retrieval argument generation rag is a very important part of the generative AI okay of the modern generative AI I think 90% use cases belong to this rag and in every company I think this rag is being built right how many people agree This rag is a important one. Now guys, see this rag seems so simple. When we are talking about the rag, right? It looks very simple but whenever we build it in a real time, we face several challenges here. Yes or no? Agree or not? Right? So we'll understand from the data parsing to data injection to retrieval to the agumentation and generation. Okay. So these are uh several stages of the rag and inside that also you will find out the different modality of the data. Okay. And uh I think someone was asking to me uh like someone was asking in the chat context engineering. So that context engineering basically we can cover inside the rag itself. So in that context engineering actually it comes under the rag inside the agenti. Okay. So we can we can cover up the topic over there itself. Right. So rag and multimodel rag is very important uh chapter of the genative. You cannot escape this one. Now after that guys uh so uh the very important part of the syllabus right I think uh most of the people have joined this bad just because of this topic agent multi-agent multi-agentic system. Tell me yes or no. I think many of you you like just have seen the title like along with the genetic we are going to teach the agenti and you join this badge right. So this is a very important module of this entire uh syllabus that is agentic and the multi-agentic system. So uh we'll deep dive into the agentic and the multi-agentric system. We'll understand uh how how we can create a multi- aentic and the agentic system. What is the meaning of the deep agent system? Okay. So each and every topic we have given over here. So every uh thing in a sequence guys we are going to be cover everything in a sequence and see after every module we are going to do some projects. Okay, if I'm saying project, so those those project actually it's going to be a PC level project. It's not going to be a normal uh notebook implementation or uh very basic uh like project. So we'll do the PC level project. After each and every module we'll focus onto the practical right now after uh see guys this uh this is the practical module. So most of the thing is going to be practical over here. Okay. As I told you from prompt engineering onwards whatever thing we are going to do it will be a practical. Okay. So code writing and all it will be uh those thing will be required right now after this one guys. So couple of more module we have added because it is in a very uh in demand topic and in every module basically we are going to be use it whether it's a rag or fine-tuning or agent right in every module we are going to be utilize this topic uh the first one is a evaluation strategy. Now how we can evaluate the LLM models. Okay, whatever we are going to be generate from the LLM, how we can evaluate that? Uh should we go ahead with the mathematical matrix of the evaluation or should we go with the different like metrices right or else we should go with a we should use AI as a reviewer which is like again it's a very uh important thing nowadays in industry I'm seeing. So many people using AI as a reviewer. So they are using LLM model itself as a as a evaluator. So they like they are evaluating their agentic pipeline, the rack pipeline, their own LM generated output from the LLM itself. Okay. So LLM as a judge, AI as a reviewer. So this is a very important topic. So we are going to understand that part also inside the module 10. Okay. Now after that guys, uh inside the module 11, guardrails, right? So uh how to put the guardrails how to keep AI like in limit right uh how to put some restriction over the AI generated responses so we'll understand uh this thing in a guardrails so whenever we are going to design a conversational AI thing right so have anyone worked on the conversational AI anyone build up the rag or agentic system tell me anyone is working inside like any any sort of a project or any PC's anything guys so where this uh guardrails comes right so if you are going to be build a conversational AI for any domain right so there you will have to implement this guardrails it is very important thing okay so uh we'll understand that we have several libraries uh using those libraries we can easily implement the guardrails lenchen also support guardrail till some extent but guys my favorite is a nemo guardrails from the Nvidia even open also support some guardrail stuff. So we can utilize that also even when we have one more library that is guardrails.ai. Okay, which is also having some uh guardrail related classes and all which we can directly use. Okay, so uh this is like again one of the module. Now after that guys MCP now how to uh bring the context to the agentic system right uh how to like uh uh basically uh what I can say so how to expose the tools okay so with we'll understand that part using this MCP so uh this MCP we are going to be use a lot inside the agentric system and even in our every project we are going to be use this MCP okay model context protocol It is all about the context which we are going to provide to the AI right and where this MCP comes. Okay. Uh now after that guys uh we have added one more module that is cloud services for the genai specifically I mentioned the name AWS Amazon web services. Okay. So uh guys see many people are asking to me I'm getting lots of lots many messages on a like daily basis over the LinkedIn and the other different places. Sir uh whether you will teach the Azure or GCP so see uh if you are going to be learn any one cloud right uh like let's say you are working with the AWS then you can easily understand the other cloud and the other compatible services if you know how to work with the AWS in terms of jai in terms of the ji services then you can uh you then you can use the other compatible services also from the different cloud like Azure and the GCP understood guys so specifically I mentioned over here AWS So we'll uh understand all the cloud services okay cloud services for the geni from the AWS itself and then uh I will give you the name of the other services from the different other cloud like Azure GCP and all if possible. So we can show you the we can show you one more cloud like Azure and GCP because we have done that uh in our previous batches people uh many many of our student asks sir can you include at least one deployment from the Azure from the GCP. So based on that request yes we are considering the different other cloud also but mainly we'll focus over the AWS. Got it guys? Yes or no? So this thing is clear the cloud doubt is also clear or not. Please tell me in the chat if this thing is clear. Yes. Okay. So uh cloud part is clear and if you have any sort of a doubt any other doubt uh definitely you can ask right after the session. Okay. So we'll allow to you can raise the hand and we'll unmute you. Now uh after that guys here you can see no code agentic tool. See uh we all are developers and we are writing a code from scratch. We are creating a system from scratch right. But guys uh still we have included this module so that you can uh you can you can test some automation tool right like NA 10 and the different other tool. So how to do the business level automation right? See uh we even if we cannot do like that much of like uh agentic automation using this tool we can do very high level automation okay using this anet and and the other tool but uh definitely we'll show you at least one or two use cases. So if you have to do any business level automation okay so that so you can understand how to do that using this no code and the low code tool and here we are going to use the N10 understood guys yes or no so this module is also clear the module number 14 no code agent tool right and you can see the complete uh syllabus over here we are just focusing over the nan over here okay and then if you wanted to use any other tool any other compatible tool right you can do that you can use that you can feel free to do that. Okay, here we just have to like uh create some uh drag and drop and all and uh we can connect the different services to each other and we can >> uh Sunonny you're not audible. >> Okay guys, now I am audible I think. >> Yeah, sorry. Yeah. So yes guys I was talking about this uh no code low code tool. So it is clear this no code loc tool this module 14 is clear yes or no I think till here everything is clear correct great. Now after that guys see uh module number 15. So this one more module we have added inside your syllabus because many people were asking to us about the cloud and you know guys cloud is providing a different services to us okay uh like their model is very development friendly okay the different different model so it is it is providing us cloud code cloud co-work right so uh different different services will explore inside the cloud and we'll create uh some project okay so uh initially we'll discuss the different model of the cloud Then we'll come to the cloud basically code how we can utilize that. Even I published one course over the Chris YouTube channel. You can check it out there. Okay. We have developed one project over there. You will understand how to configure that and how to create project using this clot code. Now after that there is one more service from the clot that is called clot co-work. Okay. So you can collaborate with the AI. You can give the access right your files folder everything to the AI and then you can work along with the AI. No doubt guys it is a money oriented thing but guys yes I included this module also inside your syllabus and we'll take a look how this claude work understood guys this module 15 is clear what we are going to do over here so once we'll come to this part you will understand more about it okay uh now after that guys see once we'll learn everything once we'll clear out all the concepts and all now how to compile the entire knowledge so for compiling that entire knowledge we require provide a project. Okay. So because at the end guys we all are going to build the project. Yes or no? In industry we all are going to build the project. So here we have kept three project. Earlier actually we just kept two project but again our student uh requested to us sir can you add one more project. So behalf on that request guys we have added one more project over here. And this project actually it's going to be end to end. So whatever we have learned so far okay inside all the modules we are going to integrate our entire knowledge over here inside this project okay and uh we'll develop it from a scratch. Now apart from this one guys see nowadays no one is writing code from scratch. How many of you are writing a code from scratch? Tell me. Uh I think no one is writing a code. Okay. Everyone is using the uh everyone is using this uh uh co-pilot. Right. So we are using GitHub copilot we are using plot code we are using basically cursor okay anti-gravity the different other uh like ids we have okay different other like coding AI assistant. So guys here also we are going to follow the same thing we are not going to write a complete code from scratch. So in the very first class itself we'll introduce the AI coding assistant and how to work with that. If you will ask to me sun which code AI coding assistant we can use. So we can use GitHub copilot okay which is like uh which we can configure freely you no need to pay anything for that you can access the basic level model over there and that will be more than enough if you want some advanced model over there then you can pay $10 of amount and you can take those advanced model okay I will show you how to do that now on the other hand we have cursor anti-gravity so if you have knowledge with any one AI coding assistant okay whether it's a GitHub copilot clot code or cursor you can work with any coding assistant right so we are going to follow the same thing over here means uh we are going to do a mixup okay means some thing we'll write manually and uh something basically we are going to be generate from the co-pilot okay so that you will understand in a both way how to do the uh code manually how to think uh about the design and all and then how to generate a code using the co-pilot got it guys yes or no is it clear to all of you So this is the entire syllabus and I hope guys you liked it. Uh so tell me guys how much you would like to rate to this entire syllabus. Uh and we have designed it for next five to 6 month and I think this will be more than enough. Okay to become a jenna engineer and to sustain yourself in a industry for next uh at least 3 to four year. Great sir will you uh share the syllabus? Yes I can share the syllabus. I can share in the chat. You can take it from there. Okay. Wait. I'll also upload the file directly in the chat. Okay. Sir, I can download that. Uh just >> No, no, wait, wait. I I'll just upload it. >> Mhm. Yeah. Whether you require coding experience or not. So, yes. See, for uh writing a code, for generating a code, at least you should familiar with some coding, right? If you're not familiar with any programming language like Python or any other language, it will be hard to generate or write a code. Okay. So guys, programming or any programming language is mandatory for any kind of development. So if you haven't gone through with our prerequisite uh sessions guys, learn at least Python from there. If you don't know Python, then at least learn the Python, brush up the Python concept so that you can develop the project. Okay? So can we do do it on over the VS code? Yes, we can do over the VS code. Right. Can fresher join the course? Yes, anyone can join because this uh skill basically I think everyone is required this skill whether someone is fresher or someone is experienced one. So we all are on same board right now. So anyone can join that. So do we need to get cloud accounts? Yes. So you required the cloud account if a cloud account AWS Azure if you are doing any sort of a development then your cloud account will be required and you can do it freely okay you can create a AWS account uh you can create Azure account GCP account you no need to pay anything I will show you how to do that right if you are getting any money then you can wave off that money or else you can shut down that account just it is just a learning account and then you can open the new one the new email id okay I have opened like five to six accounts so far. Great. So, can I use GCP? Any cloud you can use. Any cloud, right? Great. So, uh sir, uh I think now we can take uh some live questions and uh >> yeah, you can stop sharing the screen first. >> Sure. >> Okay guys, now quickly I will talk about one important thing. Just a second. I'm just saying last thing. >> Okay. Can you see my screen everyone? Okay. Now everybody understood right. Uh if you want to go ahead and explore the road maps you can go to this particular page uh krishna.in and here you can see road map section is there. Now one very important thing that I really want to talk about which uh will take you one more step ahead right. See that is about your brand building. Okay, brand building. Okay, and this is a very important step that we tell all our students to probably do, right? And can anybody tell me when I talk about brand building, you know, what do I mean by that? [snorts] You know, please focus on sharing your knowledge, sharing your work. Right? Sharing your knowledge, sharing your work. It can be anywhere. It can be in the form of LinkedIn post. It can be in the form of GitHub, right? GitHub. See this is why very important because nowadays people see things like what you have actually built. People talk to you see directly. If they find out something really interesting please just say that okay just go ahead and post that learning post create that project in GitHub share it with all the people will definitely love it you know and if some of the companies also have that kind of requirement they will directly contact you okay LinkedIn is a very good way to go ahead with you know once you start gaining some followers start gaining seeing like everywhere your profile is basically seen right so that's the reason why I'm telling you is that you have to keep on doing it today you have learned this okay prepare your own notes own materials prepare your projects prepare something and start sharing to the entire world this is what we have actually done from past 7 to 8 years and because of this you know it's not about just your brand building it's about telling the entire world that hey I know this okay and I'm I'm basically in the same race uh where things have been getting developed and I can be a very added value in your team in your companies right so this will be really really important okay so whatever things you learn every Saturday and Sunday session please make sure to share it do tag me sunny right we will be happy to push your profile forward you know we'll be happy to push we'll be seeing we'll be reposting your whatever post that you're creating It can be article, it can be blogs, it can be anything. It can also be a YouTube video. No worries, right? You just need to keep on sharing things, right? And that is how you bring build your brand. You build your portfolio. Very simple. You're just saying the entire world. You're knocking in front of them virtually and saying that hey, I know everything, right? And this is what I have actually learned. Okay? So, it'll be a request. Please make sure don't forget about this. You have to share your knowledge. You have to tell the entire world that you know things. I've learned things. Just don't keep that knowledge within you. Right? So this is really really important. So will you promise me that you will be doing this specific step because see when we say this right this will definitely help you for your jobs you will be getting calls. You'll be seeing that from where all messages you'll be getting it right. So please do promise and this is the most important step unless and until you don't share this you know let me tell you that keeping the knowledge in your head okay I have a very important saying I don't know uh never this is the end share your knowledge uh before it becomes meaningless right and in this AI era right this is really important share your knowledge before it becomes meaningless okay so when you are sharing your knowledge right at the right time at the right things you will be definitely be able to get a lot of things out of it right if you don't share it it is just going to be meaningless after some time nobody will be requiring that specific knowledge itself right so it is really much important so please make sure to focus on this things right now coming to the doubt clearing now see like usually what happens is that we'll be having the sessions between 8 to 11 and then after that we may continue our doubt clearing Now in the doubt clearing you know you have to be really really patient right don't say that kish I'm waiting from that much time nobody's answering my questions oh my this that see everybody is important for us we are here we are definitely not going to go ahead anywhere right we will be here in front of you only right unless and until everybody's doubt is not getting cleared we are not going to end this session right so that's the reason I'm telling you Sometimes our session has gone to 7 hours, 8 hours. We have made sure that we have asked everybody their queries, how they can actually move ahead, how they can basically go ahead and ask it. Yes, if specific time zone issues are there, you can request us. We can allow you to talk first. But for all the people, you have to be patient. Everybody's doubts are important. Like out of you like 10 to 15 people may have the same doubt. So if you listen to the others person doubt also most of your doubts will also get clear. Okay. So please be patient. Don't fire guns bullets on us saying that Chris sir you are ignoring me. You're not seeing my message. Oh my god. Please. Okay. Don't do that. We will be catering everybody queries. So please raise your hand. We'll allow one by one. Okay. Mah Kumar unmute yourself and uh talk please. >> Thank you Kish. And uh you are the one uh I was enrolled. I'm a software engineer fullstack at work in a ford in uh Michigan. So and I saw your post uh rag explanation that is where drag my attention to follow your videos that is where take me to this class to join enroll for this and thanks for that and also like uh what kind of tools like a vector database I see in the road map and uh road map is exceptional but pine cone could you please include chromb and other available uh vector database sure so if you follow Uh can't hear you. Uh lost you like >> your voice is not audible sir. Hello. >> Sorry it got muted. Sorry sorry sorry. Yeah uh now audible. Yeah. >> Yes. >> Yeah. So so if you see in that road map right the playlist that we have linked right we have spoken about multiple different databases. >> We have also covered about MongoDB vector databases. We covered about FS this that all the different different vector databases. See at the end of the day vector databases almost do same similar functionalities. There are some minute differences like one vector database may have some more additional features. Right. So uh in that uh road map you'll be seeing if you follow that particular playlist we have covered different different vector databases. Okay. >> Okay. And also uh sometimes you mentioned in the uh introduction like uh might have a classes in the weekdays for the witness day and >> no we are planning not to have it uh we are focusing more on the weekends but sometimes what happens is that many holidays may come in the weekend so at that point of time we'll not be able to take it right so that's the reason uh we are taking this step that sometimes we may have weekday session because we don't want to delay our syllabus right like we you know I'll tell you because of holidays and all one of our batches got postponed to two to 3 months. So that is one of the learning for us and we want to complete the syllabus on time. >> Yeah. Why I'm asking is if uh sometimes like holidays you can keep the classes on witness day. I might not join during the weekdays and at the time is it possible to connect oneonone to clarify even though I can follow the recording if I have any doubts might needed help to catch up that that's the reason we have created this community chat right okay >> Sunonny will be active over there myself will be active over there any pair and all your people like all all the students who are from this particular batch will also be active there they will be able to guide you out with respect to that right >> okay okay >> but Anything other than that I'm always there you can directly message me even in the chat. Yeah >> sure thank you. >> Yeah toif done right. Uh Prasad >> sir can you hear me? >> Yeah yeah to yeah sorry. >> Oh thank you sir thanks for the course and thanks for the team for the effort that you are giving sir. Just want to know one thing sir. Uh will you also be discussing with the project or the real project that we are doing in the office you know. Yeah. Yeah. Just go and check some of our projects. >> Yeah. Yeah. We will we will be taking this projects and all the projects will not do wipe coding. Everything will write it in front of you. >> Okay. Yeah. >> Yeah. Thanks. >> Yeah. Yeah. Uh Mahesh Prasad done right. So guys whoever question is done please uh >> yeah sorry Prasad go yeah sorry. Okay. Go ahead. >> Yeah. Hi everybody. Hi myself Prasad. So Krishna thank you. I think you know uh you are my inspiration to you know start my career in so I've been watching your videos since YouTube channel. Can you be a little bit louder? Your voice is breaking. My voice is very low prof but yeah I'm speaking out loud here but anyways yeah so I I truly appreciate that and uh speaking about Sani can you can we know about Sami like you know we would like to know more about the instructor >> yeah Suni give a brief introduction about yourself man you missed that >> yeah yeah sorry guys so I think I'm visible right >> yeah so my I myself Sunonni Savvita. Uh guys uh in total I have six plus year of experience in the field of this data science and the generative AI. uh I started my career from one of the startup and currently I'm working in uh one of the MNC in one of the like uh big four and uh during my work experience uh I worked with across the domain like pharma finance and FMCG and from past two to three year I'm actively working with this rag system agentic system finetuning and all and along with my industry experience I am teaching to so student. I'm running my YouTube channel. I'm teaching in the live courses. So, yeah. Uh this is all about me. >> Yeah. Prasad. So, Sunonny Sunonny is one of the mentors who is starting with us with me with uh with our company like we have worked together. We have understood a lot of things. We have taken many of our batches uh in a amazing way. Okay. Okay. Not audible. I'm happy. Yeah. Thank you. Yeah. >> Yeah. Please. Amit Gupta go ahead. >> Yeah. Hi. Yeah. >> Uh hi Chris and >> actually my question is >> so many in I AI terms generally we are facing some uh means differences like sometime uh what is the main purpose of ML, LLM, SLM, agent, MCP means quite quite confused which one we can select for particular purpose and which one is a test because the motor selection is very important and >> say uh Amit I'll tell you a very shortcut thing for this okay >> it depends on your problem statement let's say that um I want to create something where I am not focusing more on you know the accuracy parameters that are available in the internet I want to use an LLM which gets integrated easily with my business model uh where my answer is more focused towards creating rag It can be a simple simple chatbot assistant and all right. So we as we go ahead with the sessions right when you move towards rag evaluation metrics and all you'll understand automatically right initially we'll we will try to teach each and everything but at the right time we will come up with problem statements when should you use what okay >> okay and and one [snorts and clears throat] more thing means in entire session so either we can do the local setup and [snorts] do the ama or something else >> can also be done by can done but we will try to use better LLM models for that Olama the problem will be that I don't know what is the system configuration you at least have to have 16 GB RAM uh to make a small language model work properly otherwise it will be a very hectic system that will happen for you yeah but we'll talk about it okay >> and and and what about the architecture point of views which kind of architecture we will cover and design patterns of >> uh that is which is basically followed good in industries. Okay. Uh to show you the best way. See, let's say that uh whenever we create any project, right? We design this kind of architectures. I'll show you. Do you see my uh project uh over here? So, let's say that uh I want to develop something. So, this is how the architecture will be. You know, if you see different different projects, different different kind of pro architectures we specifically followed. Let's say this one with memory and tool calling. If you see this is how the detailed architecture will be. Okay. Okay. Okay. So >> this level architecture it'll be you know it will not be a simple one. >> Yeah. Yeah. [clears throat] Actually we are facing sometime micro and microb micro architectures and how both can be combined and create a complete whole architecture. So don't worry like the pattern that we specific follows till we create the APIs right to independently integrate anywhere right >> we may use microservices for a different problem statement and we may try to change it based on different problem statement okay >> okay okay thanks thank you >> thank you >> yeah Bumika go ahead please you there unmute yourself. Bumika Bumika are you there? I've unmuted you. Come on, unmute and talk, please. Okay, she's not talking. Okay, Roi. >> Yeah. Hi. Um, hi Krish. Uh, so you know, >> Yeah, please go ahead. Hi. >> Yeah, just like one question. So you know uh I am basically coming from a non- tech background. Okay. The the the only reason uh for me to join this course is that I have always watched your watched your videos and loved it. And you know now Gen AI is the is the is the future. So I'm basically playing the role of a delivery manager. Okay. So my basic thing is only to ensure everything is fine. So I don't have any knowledge of coding or anything. uh but I'm eager to learn Python because you had mentioned that only the basics of Python is needed for this course. So uh just just want just looking for some mentoring from you. What should I do from my side to ensure you know this course is effective for me? >> See u you really need to understand the in and out. I I definitely will say that you'll not do coding. Okay. But architecture wise you need to understand how systems are basically integrated whenever you're trying to create an LLM applications. What kind of use cases that you're developing. Let's say your team is developing rag. So you should be there to put some kind of pointers right. Uh let's say in rag there are multiple metrics context engineering there is uh uh there is evaluation techniques there is u evaluation metrics like guardrails this that and all are there. So when we teach this concepts right in your case it is more like you need to understand at a 100 ft overview about all the things because tomorrow whenever you go to the companies you should be able to talk you should be able to put your pointers in front of them and that is how you can add values over there right >> but this course will actually help you to think in that that >> yeah yeah yeah definitely so we have added no coding tools also for you >> exactly exactly I thought let me clear because uh when I was about to take this course I had spoken to your instructor and I made my thing clear because see I didn't wanted you know me to be a hurdle to others you know when others are showing great knowledge and I'm lacking behind but you know appreciate that Chris you know >> no no it is very simple for you see based on your roles again I'm telling you know the kind of road map that I've created I'm focused on this pointer also >> I saw >> I saw the modules that you gave and it was pretty awesome because nowhere it ensured that you know you need somebody with 15 years of coding experience it is more of understanding and how to integrate things and you know more learning on our part also Chris so you know great great modules yeah thank you so much Chris >> thank you thank you thank you >> um Sunil Singh >> yeah whatever >> yes yeah sun go ahead >> yeah so please uh first of all thank you for this opportunity and this course uh uh Um I I just wanted to know like in our AI era day by day something is getting changed or something new is coming. So tomorrow if uh any new things will come either from entropy or open AI or from any group. So can we include this uh >> yeah yeah we we will be including it till your batch gets over uh we may add more modules based on the requirement that is coming. It's like okay this thing is necessary to learn things we will include it. Okay. >> Okay. And second question I have sorry I'm talking uh second question I have uh I'm interested to learn AI because I have completed your uh few courses on Udemy and I have developed one chatbot also in my organization. >> So but I want to learn more. So >> uh whatever that there in the syllabus. So are we going to learn from scratch or >> Yeah. So from uh basics we'll do the basic setup then start then build up keep on building new things. Yeah. >> Thanks. Thank you. >> Yeah. Go ahead. >> Yeah. Hi Kish. Hi Suni. Thanks for the >> just a second. Just a second. Uh guys whoever do not have any doubts. Uh in the next weekend session we are going to start with the system setup. uh like we will be making you to install multiple ids. We'll be doing the entire environment setup everything. Uh so all the installation will happen in the next weekend session that is on Saturday 8:00 p.m. Uh if you don't have any queries please do drop do not wait because this session is going to go long. We are going to take up lot of questions and then >> we are going to go ahead. Okay. Yeah. Go ahead please. Sorry. >> Thanks. uh actually u uh I have around like 10 10 years of experience overall in development like currently working in UAE in a bank. So my major major part is I have some knowledge of uh this agent system right I have built some some kind of some sort of internal tools as well but I want to go in in more depth right so my main point is up to what extent do we need to learn a uh sorry ML and DL basics other than that what we have in this levels right >> so what is the experience show sir >> I have uh around 10 plus years of experience And >> then then uh after you get good hands on on genetic and agentic get a basic understanding of machine learning deep learning that is more than sufficient for you >> because now the future is all about this only right you'll be starting talking about AI agents and new things that are coming up right why I say you need to have knowledge about machine learning and deep learning it's just to make a foundation strong that's it >> yeah that's my main concern yeah second question is uh the the projects we are including here is uh like is it is it more relevant to the uh industry standards like what kind of a use case do we cover? So is it is it the same thing right? >> Same yes completely our our syllabus is completely industry oriented sir. >> Okay the third question is also which is I feel is very important for all of us right uh other than this development parts being an experienced engineer you should also like we should also know about agentic system design. So do you recommend something which we need to learn parallelly or >> No no no no don't worry we will tell in the class we'll give you assignments we'll give you problem statements we'll also conduct hackathons okay >> okay thanks >> yes uh yeah next person who is the zoom user yeah please go ahead >> yeah go ahead >> yeah I just have one query so like I come from integration background Okay. And I have around 10 to 11 years of >> core integration developmental experience. So I am well versed with all the API concepts, rest and everything like entire API development I have done for 10 to 11 years. So I think that may be helpful to grasp up this geni journey right from the scratch if I have to because I can see a lot of API calling has been made in this course. This is what I anticipate. >> Yeah. Yeah, you'll be able to understand it. It's more about setting up the API in your environment variable and probably calling it in a way. Uh we will also be showing you some things like how you can also keep a backup like let's say fallback is also option is there. Okay. If one API is not working in another API you can go ahead and all. Okay. >> Okay. So this API design patterns uh some core basic knowledge of Java and a proper uh drag and drop tool there in API development like tip for musoft. So that is my background. So I think that may be helpful to speed up compared to someone who has just been a pass out or something like this is >> Yeah. Yeah. Yeah. More than sufficient sir. >> Okay. Yeah. Sure. Thank you. >> Yeah. Next question. Zoom user. Yeah. >> Hey. Hi Krish. Hi. My name is Bargo. >> Yeah. Bargo. Sorry you have you have to rename your name. >> Yeah. Yeah sure. I'll do that. Uh actually I work as a validation engineer in a big company semiconductor company. So what uh what my company has introduced is uh they have recently gave us the access to use the Gemini clients and code agents to uh you like uh write the test scripts and all for the validation perspective. So uh what I feel is like maybe in couple of years our jobs will go away this Gemini and all will replace us. I mean if you stick to the existing uh like if you don't use uh EI so that's the reason I have joined this class when I when I saw the post in somewhere like my friend posted this so where I can see myself like uh after completing this course like >> so what is the experience can you talk about it more >> in initially I've worked in development team for more than six years like six to more than six to seven years post that I worked as a customer engineering team uh like engineer post that now I'm working as a validation engineer for last three to four years. So I don't want to be a validation engineer no like going up like going going forward. So I want to become a like uh engineer in AI development or like I want to see myself in this fastm moving uh >> technological world. So that's like I I bit >> so sir uh I'll suggest you what you really need to do is that uh >> once you learn this right >> see based on your research work that you currently do what all generative AI applications you can develop what all agentic AI applications you can develop right and then once you understand you'll automatically understand your role where you'll be able to move you know the same domain background whatever knowledge you have now additional skill sets that you have is with respect to agent native and agent right. >> Okay. Okay. >> Yeah. >> So to cope up with the existing class right so uh going through the the videos whatever you have posted in the in the app right is it is it enough to >> Yes sir that is a detailed playlist so I think it'll be more than sufficient but again if you want more sir we are there or AI pro batch is there you can get access of everything. Okay. >> Okay. Thanks Kish. >> Thank you. >> Yeah. Next question. >> Hey. Hi Kish. Hi son. Hi Arvin. So I have experience of around you know 12 plus years in the uh technical support role which is the backup and storage. Okay. So basically I don't have uh experience on the um coding part. Uh de no experience on the developing. uh I have uh recently gained some experience on the Python basics. So will that be sufficient to start with this course or any other prerequisites I can go through? Uh see guys for this batch you need to be a very good Python developer >> okay >> because we are going to write a lot heavy code initially it'll be simple later on we'll add more complexity later on we'll move to modular coding that's the reason whenever I announced this batch I told you at least Python yeah you need to have Python at any case >> sure apart from that anything else I can um you know also uh uh do as a prerequisites before first few weeks of the classes which I can [clears throat] >> see if you don't know Python >> we can move you to our 2.2 to ultimate data science batch. >> Okay, there we start Python from scratch. But again for that also one month session has been done one and a half month session. Okay, the best is that you can follow my YouTube videos. The link that prerequisite videos has been given. You follow the Python videos after you do the setup from the next class. Okay. >> Sure. Sure. Yeah. Thanks. Thanks. >> Uh hi. Hi Chris. Can you hear me? >> Yeah. Yeah. Yeah. Vijay. >> Yeah. Hi. I I mean I I I want to start off with you guys are doing a very good job like I saw lot of you it's very clear uh very detailed and everything is precise. So I have three questions. First thing is I have a VS code installed in my laptop that should be fine for developing right. >> We will help you out. Yeah. Yeah. More than sufficient but uh we will talk about what all tools we'll be requiring from the next class. We will do the installation like we will show you the installation part and then you can probably go ahead and join the installation. Okay. >> Okay. And another one is like do you guys cover MLOps? Is there any session on MLOps? >> So in this case it'll be combination of MLOps and LLM ops since LLMs are being used right. So LLM ops. >> Oh okay. Okay. Both. And and what about like do you go much deep into like say langraph and lang chain. >> Yeah >> like or AP very deep >> very deep into Yeah. >> Okay. Okay. That that's that's where my questions. Thank you. >> Yeah. Moan Akil Moan. >> Yeah. Hello. >> Yeah. Hi Moan. Tell me please. >> Hi Kish. Hi Sunny. Uh thank you for the good work through of the course. So I have a couple of queries. Uh when uh the instructor is doing coding we will be parally doing the live code along right. >> Yes sir. >> Okay. So and also I have some two plus years experience. So but I have to work. Sometimes what happens is that mon let me tell you that let's say sun is coding your focus first should be understanding coding what he's writing right >> then he'll share you the materials right then you can also go ahead and he'll give you some assignments there only to add more modules then you can actually code along with him parallelly okay >> okay the materials will be uh Google drive l drives links or >> that we will we will share it with github from zip files and all and all don't worry >> yeah okay sure uh so basically I don't have any prior experience working on cloud so some basics of AWS will be covered before >> that will be covered yeah >> yeah okay and uh well sun mentioned like for the GPU is said like Nvidia 4050 series is required how much GB of RAM will be required 4 GB or 8 GPU I mean yeah at least see uh if you want to work with the uh quantiz model right if you want to load the model using the Olama then 8 GB of VM is required right for the smooth experience >> okay yeah >> okay >> thanks and thanks >> thank you yeah okay so next questions or I cannot unmute uh just a sec >> you take the post Okay. Amit Akil. Guys, anyone having any question please go ahead. Amit, Akil, Arvin is there. Uh, Mahon is done. Now Krishna, Anish, Kiran guys anyone is there please