How To Learn AI Using Modern Route- Full stack Generative And Agentic AI Bootcamp Announcement

Key Takeaways

Hello all, my name is Krishna and welcome to my YouTube channel. So guys, I am super excited to announce a new live boot camp which focuses specifically for industry professionals wherein we are going to learn about how to learn AI by using modern route. Now in this specific batch we are going to focus on full stack generative AI and agentic AI applications wherein we are not not going to discuss about how to create applications using different kind of LLMs but instead we focus on more on fine-tuning we focus on building AI agents from scratch and even solve complex workflows which are specifically required in the industries. So more about this particular batch please make sure you watch this uh video till the end because I'm also going to give you a specific road map like how you should probably use modern route in order to learn AI very much important for industry professionals okay who are having couple of years of experience who know Python programming language who wants to quickly get into generative AI and agentic AI development specifically where you focus on developing AI agents. Okay. So to talk more about this batch, uh the batch will be starting from March 15th, 2026 and the classes will be on every Saturday and Sunday. This batch will be going ahead like for 6 months, you know, uh 6 months will be more than sufficient to cover all the syllabus and then the classes will be uh from Saturday and Sundays 8:00 p.m. to 11:00 p.m. IST. Okay. uh to talk more about this what all things we are basically going to cover let's go ahead and first of all understand the entire road map how we are going to cover this fullstack generative AI and agentic AI boot camp so first of all over here this is the path that I currently follow and definitely this specific path is required even in industries recently I had attended AI impact summit which happened in New Delhi okay and when I really went to the expo to just explore the kind of use cases that companies are developing, right? They definitely focused more on agentic AI. They focused more on generative AI, right? And along with that we could see lot of applications where they focused on building agents which were able to solve some complex workflows and these all things they were selling to their customers their clients right in the in the case of like a B2B product or a B2C product right they were developing some amazing applications already if you know or you have seen my previous videos In Krishnaak Academy we are focusing this three main paths right. One path I say usually as traditional route. Okay. So this is one of the path that we follow that is traditional route. Then you have modern route. Then you have advanced route. Now in case of traditional route last month we have launched a batch which is called as ultimate data science UDS 2.0 UDS. Now this specific batch was important for anyone who do not know anything about AI. They are starting from completely basics from scratch. So any person whether you're an experienced you want to get started with AI, you don't know anything about programming language, you don't know even Python programming language and you really need to start from basics to build your fundamentals. So in this specific batch we focus on data science first. We focus on mastering DSM, ML, CV, NLP. Then you add generative AI skills and then you add agentic AI skills. The next path which had amazing requirements was about modern route because they are people who are already from tech background who know programming language like Python who have technical skills who are working in different different projects. Let's say you're a fresher, you are an experienced professional, you are even in the architecture position and you really want to quickly get started into generative AI and agentic AI, start building agent AI agents, then this modern route is important. Now for this particular modern route, we focus on generative AI first, then we master gen uh sorry, we master geni, then we go ahead and add agentic AI skill sets. We start building agents. We covered different different frameworks like lang chain, lang graph, different different frameworks we have also included in the our syllabus which I will be showing you. Okay. And then parallelly you can also go ahead and learn DS fundamentals. Now in this particular batch that the announcement that I'm actually making is for this particular path uh that is nothing but full stack genai and agentic AI boot camp. Okay. So this entire course is basically targeting the modern route. So in Krishna Academy we are going to only follow this three parts. U the third part which is the advanced route. Here we are going to introduce some specialized course right. Specialized course basically means like you want to only focus on you know agentic AI building AI agents. You want to probably go ahead and focus on building rags right? So like rags like agentic AI AI agents right? Uh where we cover almost uh everything with respect to advanced topics. we will be covering in this advanced route. But right now our target is basically to start one batch in March 15th. And again here you will be able to see that this two dedicated batch will be once in a year right when we talk about this one and we talk about this one right and then we only focus on advanced batches which will be coming coming up in the future and this particular batch will be only focused for people who want to do advanced learning in the specific field uh like rag like AI agents and all but here also we are covering AI agents we are covering almost everything in Gen AI agentic AI We are covering multiple frameworks and then we also cover genai completely from basics where from where we start like transformers we understand the architecture of transformers and we keep on building things right uh along with this we cover lot of end toend projects and this end toend projects will be like a production grade projects where we cover each and everything okay uh with deployment we try to cover different different cloud platforms like AWS Azure and all uh we'll talk more about this when we go ahead and see the syllabus. Okay. So this batch is specifically for the modern route who for whom it is anybody any experienced professional any freshers who want to quickly get into genai and agentic AI because nowadays requirements are there for the particular company. So at the end of the day let's say if you're starting this only the prerequisite is that you need to know Python programming language a good amount of basic amount of machine learning deep learning is more than sufficient right. So here uh we will go through this specific path. As I said the batch starts from 15th March 2026 and then the timing will be 8:00 p.m. to 11:00 p.m. IST. Okay, where we cover all this particular syllabus, right? Uh usually after the class we also take doubt clearing sessions. So here we are saying 3 hours it may also go till 4 hours. Right? So uh that is the entire information about this. Right. According to the trend that is currently going on, we are focusing on understanding what kind of people, what kind of skill sets is basically required in the companies and based on that we are designing each and every uh core curriculums, cohort or boot camps specifically designed for you. Okay. Now let's go back to this. So here you'll be able to see what all detail things we are actually covering. Now in order to understand the syllabus uh if you go ahead and click on enroll now here you'll be able to see incognito mode like I'm just opening in incognito mode. So here are the entire information mentors everybody here is the course syllabus that we have designed. This course syllabus is quite amazing because you just see the syllabus right from fine-tuning to mastering LLM to building aentic AI application to deploy uh to use manage cloud LLM API services everything is basically covered right so here you'll be able to see we'll start with foundation of modern gen AI where we understand about transformer architecture we start from text encoding and tokenization evolution of text representation embedding vector spaces understanding LLMs LLM SLMs multimodel LLMs then API for accessing LLMs we cover almost every different kind of uh from OpenAI to Grock to open router to AWS to GCP everything then we go ahead with the finetuning techniques um LLM hosting on your own server exposing on as an API prompt engineering retrieval augmented generation uh advanced drag and multimodel system agents multi- aents and deep agent systems so we cover almost everything from evaluation strategies uh to guard rails everything we are basically covering over here even MCP is also covered because MCP is also required nowadays in order to probably do some amazing work in your company right from cloud services also we are using like AWS Azure and all uh no code agent tools also we'll be using where we cover NAN and all um along with that we also cover lot of different different projects which you can actually see in the syllabus okay so all this information you'll be able to see it over here one amazing thing is that along with this batch we are also providing you let's say you want to probably go ahead and see the entire recordings we also uh you want to go ahead and learn in a fastpace mode we also providing the previous batch access which you will be able to gain okay along with this particular batch the previous batch access also will be available so for with this you'll be able to see that the previous batch access you'll be able to get it okay previous batch access of modern route where we focus on NLP P generative AI genetic AI we are going to cover that also okay and we are going to provide that as an access along with this uh um the batch access like all the recordings uh uh after the class live session is done you know the recordings will also be available in your dashboard okay recording will also be available in your dashboards uh the validity of these recordings will be somewhere around you know 1 and a/2 year right which will be more than sufficient the reason why we We are making one and a half year because after that many changes will be basically coming up and when we come up with the future batches you know we are also making going to make sure that we also provide you the uh if you're taking the new batch we also provide you the previous batch access and all right so that you also see like how much changes basically happening okay now um till one amazing offer right now we are running right if you just go ahead and use kish 15 and you just apply the coupon we are providing you 15% off okay uh now in this 15% off you'll be able to save somewhere around 1,000 rupees the cost of the course right now yeah initially it was 8,000 now you'll be able to get it in 6800 and this also includes the GST fees so 6 months of batch 6800 including GST that basically means 5,000 for the batch which is more than you know feasible I think for everyone to probably go ahead and join it okay so all the information regarding this will be provided in the description of this particular video I will also provide provide you the counseling team number if you have any queries whom to probably join even though I've explained it perfectly over here. If you want to quickly get started into generative AI and agent you have basic knowledge of machine learning, deep learning, Python programming language prerequisite Python is specifically required I think you should be able to go ahead and start this specific batch. Okay. And again as said uh this is one of a type of a batch only in a year we probably launched this flagship batches like uh ultimate data science like modern route for that was for the traditional route. This is for the modern route and yes for the advanced route we will be coming up with more specialization in the future. Uh but we don't launch batch regularly. We focus more on teaching you in a way that it impacts your career. Right? So I hope you like this particular video. Uh I think I've covered almost each and everything. You can just go ahead and check out all the syllabus what all things we are basically covering along with the syllabus and all. You'll also be able to get the dashboard access and the dashboard access will be provided for 1.5 years. Yeah. So yeah, this was it from my side. U let's see uh uh what all things we can actually do with this and we are also making sure that you know if new things probably come up right we'll try to include that things also in this particular batch in the course duration within this specific 6 months right. So yeah, this was it from my side. I'll see you in the next video. Have a great day ahead. Thank you one and all. Take care.