Krish Naik · 11h 13m · 31 lessons
Complete Agentic AI Course In 10 Hours- Langchain, Langgraph, RAG,Vectorless RAG, Guardrails,Evals
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8 days at 90 min a dayDay 15 lessons · 1h 40mToday
- 1Environment Setup with UV Package ManagerCreate a virtual environment, install dependencies (LangChain, LangGraph, Tavily, etc.), and manage API keys using the UV package manager and a .env file.20m Notes and quiz
- 2LangChain v1: Agents, Tools & MessagesBuild basic agents with create_agent, bind tools via @tool decorator, understand tool-calling loops, and work with Human/AI/Tool message types.23m Notes and quiz
- 3LangChain v1: Model Integration (init_chat_model, ChatGroq, ChatOpenAI, ChatGoogIntegrate multiple LLM providers (Groq, OpenAI, Google Gemini) using init_chat_model and provider-specific chat classes.13m Notes and quiz
- 4LangChain v1: Streaming, Batch & Structured OutputStream token-by-token output with model.stream, run parallel requests with model.batch, and enforce response schemas using Pydantic, TypedDict, and DataClasses.21m Notes and quiz
- 5LangChain v1: Middleware (Summarization, Human-in-the-Loop, Fallbacks)Apply built-in middleware for conversation summarization (by message count or token fraction), human approval on sensitive tool calls, and model fallbacks.24m Notes and quiz