Learn LangChain from scratch in 10 days with this free bootcamp. Every lesson is a full 40 to 60 minute code along using free AI models from OpenRouter, and by Day 10 you build a production grade RAG agent with Qdrant, metadata filters, and cited answers. What you will learn, day by day: Day 0: Course roadmap and project setup with UV Day 1: What AI APIs are, tokens, free OpenRouter API key, your first LangChain call Day 2: System, human and AI messages, roles, LangSmith tracing, prompt injection Day 3: ChatPromptTemplate, placeholders, partial variables, MessagesPlaceholder Day 4: LCEL chains and the pipe operator, batch, stream, model fallbacks Day 5: Structured output with Pydantic, nested models, Literal and optional fields Day 6: Short term and long term memory, checkpointers, trim_messages, summarization Day 7: Tools and tool calling, @tool decorator, bind_tools, ToolMessage, manual tool loop Day 8: Build an AI agent with create_agent, ReAct loop, middleware, streaming Day 9: Vector databases, chunking, embeddings, Qdrant and RAG ingestion with metadata Day 10: Production RAG with hybrid search, grounding rules, citations, and a custom retrieval agent Who this is for: Python developers who want to actually understand LangChain and agentic AI, not just copy a five line demo. No paid API key needed. Slides and notebooks for every lesson are on GitHub: github.com/laxmimerit/Langchain-10-Days-Bootcamp Go deeper with my Udemy course, Master LangChain v1 and Ollama - Chatbot, RAG and AI Agents: kgptalkie.com/langchain #LangChain #GenerativeAI #AIAgents #RAG #Python