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LangChain Framework for Beginners – Build AI Systems + RAG

Learn LangChain 1.0 Typescript with AI Agents, Tools, RAG Pipelines, Agentic RAG, MCP Integration, LangGraph Deployment

$9.99 (95% OFF)
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About This Course

<div>If you’ve been hearing words like “AI Agents”, “LangChain”, or “RAG” everywhere and wondering how people are building smart AI apps that can search data, answer questions, or take actions on their own — you’re in the right place.</div><div><br></div><div>This beginner-friendly course will show you how to build real AI applications from scratch, even if you have never worked with AI before.</div><div><br></div><div>Most people only use ChatGPT to write text…</div><div>But companies today are building applications that can think, read, search, decide, and act automatically.</div><div><br></div><div>These applications are powered by LangChain — the leading framework for building AI-powered software.</div><div><br></div><div>In this course, you will learn how to:</div><div><ul><li><span style="font-size: 1rem;">Build simple AI apps that actually do useful tasks</span></li><li><span style="font-size: 1rem;">Make an AI use tools (like checking the weather or sending an email)</span></li><li><span style="font-size: 1rem;">Let an AI read documents and give answers based on your data</span></li><li><span style="font-size: 1rem;">Organize information so the AI can “remember” things</span></li><li><span style="font-size: 1rem;">Build small automation systems that can save time and effort</span></li><li><span style="font-size: 1rem;">We will start from zero, explain every concept in plain English, and build everything step-by-step together.</span></li></ul></div><div><span style="font-size: 1rem;"><br></span></div><div><span style="font-size: 1rem;">By the end of the course, you will be able to build your own AI apps that can be used for:</span></div><div><ul><li><span style="font-size: 1rem;">Personal projects</span></li><li><span style="font-size: 1rem;">Business automation</span></li><li><span style="font-size: 1rem;">Customer support</span></li><li><span style="font-size: 1rem;">Data lookup</span></li><li><span style="font-size: 1rem;">Testing and QA</span></li><li><span style="font-size: 1rem;">Real-world workflows</span></li><li><span style="font-size: 1rem;">No complex math</span></li><li>No advanced AI background</li><li>No prior LangChain knowledge required.</li></ul></div><div><br></div><div>Just practical learning, short lessons, real projects, and the confidence to build your own AI applications.</div><div><br></div><div>If you want simple, hands-on learning that focuses on doing — not theory — this course is perfect for you.</div>

What you'll learn:

  • Build AI Agents with LangChain using tools, memory, prompts, and multi-model configurations.
  • Create custom tools with Zod validation and enable LLMs to choose and execute tools intelligently.
  • Implement dynamic system prompts, middleware, and context injection for accurate agent responses.
  • Design complete RAG pipelines using embeddings, vector stores, similarity search, and document loaders.
  • Integrate LangChain Agents with external APIs, databases, and MCP servers for real-world automation.
  • Deploy production-ready LangGraph agent servers with environment setup, tracing, and safety guardrails.