Hello all, my name is Krishna and welcome to my YouTube channel. So guys, I am super excited to announce our new Udemy course on the complete agenti boot camp with Langraph and Langchain. So this was one of the most requested batch from past couple of months and finally yesterday we have launched this particular batch and uh the kind of feedbacks that we are getting is quite amazing. Yes, you cannot see the feedbacks over here but personally I have got a lot of messages from people from LinkedIn and all and they are saying this batch is quite amazing. This entire Udemy course is amazing itself. So in this particular video I will be talking about more about this specific course uh what exactly it is what all topics we are specifically going to cover and as we go ahead you know why this will be an amazing course altogether that also I'll be talking about. So first of all um as you all know that Udemy provides limited coupons. Okay. So right now there will be one coupon that I'm actually going to provide you Agentic 2025 and with the help of this particular coupons you'll be able to get discount specifically from people who are in India they'll be able to get this course in 399 rupees. So go ahead and utilize this opportunity. uh the main aim of this particular course is to completely learn agentic AI with one of the most popular framework and library that is called as langraph and langchain. Okay. So what we are specifically going to do and how we are going to cover the syllabus each and everything I'll be talking about. So here you'll be able to see that u here the python prerequisite we have already uploaded it as a dedicated course. Okay over here it is a complete module that you'll be able to see. We will be learning about lang chain. We will be learning about different different open-source uh LLM models. We will be also checking out OpenAI, Grock and many more things. Along with that, we will first of all start learning from building traditional uh generative AI applications. Okay. So that will be the first phase of completion. And as we go ahead and complete the generative AI application building part, then we move towards AI agents and agentic AI. Right? So this AI agents and agentic AI what we are basically going to do over here is that build uh a very good agentic AI application where we are solving some amazing use cases. Okay. So here you'll be able to see that when we are starting with lang graph there are so many different topics how to probably go ahead and start creating a simple graph or workflow using lang graph building nodes and edges building simple graph state graph compiling how to develop llm powered simple chatbot using graph lang graph. Okay. So this will be the module where you learn more about langraph and all. Right. Then we go ahead with langraph components where we are going to discuss about each and every components and this components here is not just theoretical explanation but practical implementation cons considering specific use cases. Okay. So if you probably go ahead and see every video out here you'll be able to see different different use cases which will actually help you to build a good strong foundation related to langraph. Then we go towards advanced langraph. Then I will also show you how to debug uh the langraph applications that you are specifically creating. And these applications are nothing but agentic AI applications. You'll be able to track each and every communication, how much uh what kind of agentic flow you are actually following, how each and every node is giving you the output, how you can improve them, each and everything in this particular langraph studio. Okay. And this we will directly do it in the cloud. So Lang graph provides you cloud platform for actually verifying each and everything. Then uh this section that you'll be able to see different workflows in Langraph. This is one of the most important section. Here you'll be able to understand what all amazing workflows you can probably create in order to solve different different kind of use cases. So that part we will be covering over here. So there are some workflows like prompt chaining, prompt chaining, implementation, parallelization, routing, orchestrator, worker, evaluator, optimizer and many more things right. So we will be covering this step by step and each video, each implementation is at least 15 to 20 minutes where I will be writing each lines of code and explaining you. Okay? Then the other module that you have is something called as human in the loop. Now there is a pattern. Yes, when you create complex workflows, you can actually uh make the AI LLM model execute almost each and everything. But human feedback is also important, right? And this particular module will show you that how you can add human feedback and how you can probably help them to probably provide good feedbacks itself and continue the execution with respect to the workflow. Then you have rag. Rag I have covered almost eight to nine different types of rag implementation which are very good rag. We will be covering agentic rag, corrective rag, adaptive rag. In adaptive rag you also have something called a self rag. So all those kind of rags will also be completed and we have explained both theoretical intuition and practical implementation. Now till here we have done it and here you can see that it is 29 hours of course right but there are more four to five modules that will be pending over here and that I will try to upload it every 2 weeks because recording takes usually time right see 29 hours is there but we are planning to take this to more than 55 plus hours so there will be four amazing end to-end projects that are coming up already the development part I have actually completed it then we will go ahead and do the implementation along with that one of the most requested thing MCP MCP with langraph so that part is also going to get uploaded and that is also in the recording phase right now at the end of the day these all things you'll be able to cover get it in just 399 unless and until I have a coupon but I think this money that value that you are actually getting with respect to this particular money is quite huge I have always made sure that whatever courses I launch let's say if I just go ahead and search for Krishna right you See just just see this okay every courses that I have actually created is at least 60 plus hours right if you probably go ahead and see my u complete data science course see it is a bestseller if you probably go ahead and see generative AI it is a bestseller all right if you see computer vision it is a bestseller if you see with respect to MLOps it is a bestseller and this this entire course recording is mine right I have probably set up and done the entire recording that is the most important thing then mathematics you will be able to see there are more than so many different different courses which are on bestseller mode right so that is the best part about this you know and uh people are loving it and I'm making sure that I provide you the most meaningful and detailed content like how I have actually done it for generative AI data science right here also in generative we have uploaded some modules with respect to langra but my suggestion would be that I had to actually create this as a separate course because there are so many different things to probably learn now let me talk about one more very important thing recently we have also launched this live bash live 2.0 into agentic AI and generative AI with cloud boot camp and this is also having MCP and if you probably see the course detail syllabus this is a combination of around 8 to 10 different different frameworks okay so for people who have already joined this batch we have provided this Udemy course completely for free okay and in the upcoming things right in upcoming courses we are also coming up with CU AI autogener different different Udemy courses the main reason to cover this is that we have to cover this detail so that you don't have to worry about any documentation. The documentation with respect to lang chain is very very bad. I'll say you that people will face nightmares to pro follow the documentation. But here documentation wise, use cases wise, we are covering each and everything. I'm not creating a new documentation but at least we are covering all the topics that is basically required right and if you now go ahead and see almost every jobs is basically covered only sorry every module is basically covered only two to three modules are left one is four to five projects and how do you do the deployment in langraph cloud I'm about to get that particular access and I'm working on that as soon as I get it that videos will also start getting uploaded okay so if for all the people who are there yesterday when this batch launched we have already given this particular course and not only that like um in in the future if I coming up with Creoi and all whoever are in this specific batch will also get that particular course completely for free. The reason why I'm giving all the people who are there in my live sessions all the specific batch is very simple because this is for lifetime. Our portal our website we cannot give it for lifetime but Udemy courses we can give it for lifetime and the best part will be that all this kind of agentic AI boot camps I will be specifically recording. Now you may be thinking Kish why don't you add everything over here? Why don't you add crewi autogen? Trust me guys, just with langraph no it will be continuous because lang graph will keep on getting updated right and I have to probably upload the videos right over here. So that will also be a separate content crew will be something separate because that kind of pattern we really need to follow and upload each and everything right. So I hope you like this particular video. Yes, for all those people who wants this particular course you can use agentic 2025 this specific coupon and just go ahead and apply this. Okay. So yes, this was it from my side. I hope you like this particular video. I will see you in the next video. That's it. Uh and yes, keep on rocking, keep on learning.