This is a complete course on learning Generative ai and agentic with Langchain and Langgraph. We have included all the topics from RAG, vectorless rag, Deep agents, Guardrails, LLM Evaluation and LLM Gateways Techniques
Github Links
Langchain : https://github.com/krishnaik06/Langchain-V1-Crash-Course
Langgraph: https://github.com/krishnaik06/Agentic-LanggraphCrash-course
RAG: https://github.com/krishnaik06/RAG-Tutorials
Vectorless RAG: https://github.com/krishnaik06/RAG-Tutorials/blob/main/PageIndex_Vectorless_RAG_CrashCourse%20(1).ipynb
Deep Agents: https://drive.google.com/file/d/1SVjvgqvKfF-FPAIqpEZdKMQLhe13NLFD/view
Guardrails : https://github.com/krishnaik06/Langchain-V1-Crash-Course/blob/main/updatedlangchain/langchain_guardrails_crash_course.ipynb
LLM Evals : https://github.com/krishnaik06/RAG-Tutorials/blob/main/1-rag_evaluation.ipynb
LLM Gateways: https://github.com/krishnaik06/Langchain-V1-Crash-Course/blob/main/llm_gateway_tutorial.ipynb

Timestamp
00:00:00 Introduction
00:02:31 Langchain Course
02:35:12 Langraph Course
05:02:29 RAG Course
07:10:43 Vectorless RAG
08:02:11 Deep Agents
08:45:43 Guardrails
09:22:55 LLM Evaluation
10:30:25 LLM Gateways
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Learn from us visit https://krishnaik.in/liveclasses

YouTube

A 10.5-hour comprehensive video course covering agentic AI development using LangChain v1, LangGraph, RAG (including agentic and vectorless RAG), deep research agents, LLM guardrails, evaluation techniques, and LLM gateways. The course walks through environment setup with the UV package manager, integrating multiple LLM providers (OpenAI, Google Gemini, Groq), creating agents with tools, streaming and batch inference, and building practical AI applications from scratch.

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

<p>Def. going to watch the whole course</p>
