Complete Agentic AI Course In 10 Hours- Langchain, Langgraph, RAG,Vectorless RAG, Guardrails,Evals

Hello all, my name is Krishna and Hello all, my name is Krishna and Hello all, my name is Krishna and welcome to my YouTube channel. So guys, welcome to my YouTube channel. So guys, welcome to my YouTube channel. So guys, super excited to bring this specific super excited to bring this specific super excited to bring this specific video which is more than 10.5 video which is more than 10.5 video which is more than 10.5 hours and the best part about this video hours and the best part about this video hours and the best part about this video will be that from past four to 5 months will be that from past four to 5 months will be that from past four to 5 months every important topics that has actually every important topics that has actually every important topics that has actually evolved in AI specifically in the field evolved in AI specifically in the field evolved in AI specifically in the field of generative AI and agentic AI have of generative AI and agentic AI have of generative AI and agentic AI have covered almost everything. Just let me covered almost everything. Just let me covered almost everything. Just let me talk about the plan how we are going to talk about the plan how we are going to talk about the plan how we are going to cover. First of all, we are going to cover. First of all, we are going to cover. First of all, we are going to cover. First of all, we are going to understand about generative AI and understand about generative AI and understand about generative AI and agentic AI with Langchain. Then we are agentic AI with Langchain. Then we are agentic AI with Langchain. Then we are going to see a langraph complete going to see a langraph complete going to see a langraph complete langraph crash course wherein we will langraph crash course wherein we will langraph crash course wherein we will focus on building agentic AI focus on building agentic AI focus on building agentic AI application. Then the third important application. Then the third important application. Then the third important application. Then the third important part will be the entire rag you know how part will be the entire rag you know how part will be the entire rag you know how you can go ahead and implement rag and you can go ahead and implement rag and you can go ahead and implement rag and this will not be only traditional rag this will not be only traditional rag this will not be only traditional rag we'll also try to cover agentic rag and we'll also try to cover agentic rag and we'll also try to cover agentic rag and after that we'll try to cover vectorless after that we'll try to cover vectorless after that we'll try to cover vectorless rag. So everything will be like kind of rag. So everything will be like kind of rag. So everything will be like kind of a oneshot video of every topic and then a oneshot video of every topic and then a oneshot video of every topic and then we will also try to understand what is we will also try to understand what is we will also try to understand what is the differences between traditional the differences between traditional the differences between traditional vector rag versus um vectorless rag. vector rag versus um vectorless rag. vector rag versus um vectorless rag. Then we will also be understanding about Then we will also be understanding about Then we will also be understanding about deep agents, deep research agents.