microsoft/LangChain4j-for-Beginners

A course for AI applications with LangChain4j from simple chat to AI agents.

What it solves

Getting started with LangChain4j can feel overwhelming. This course removes that barrier by walking you from a first AI chat application to more advanced systems like retrieval-augmented generation (RAG) and AI agents. It focuses on practical examples and uses Azure OpenAI as the model backend, so you learn in a realistic cloud environment.

How it works

The course is broken into five modules that build on each other:

  1. Introduction – learn the fundamentals of LangChain4j.
  2. Prompt Engineering – design effective prompts for better model responses.
  3. RAG – build knowledge-based systems that pull in your own data.
  4. Tools – integrate external tools and make simple assistants.
  5. MCP – work with the Model Context Protocol and agentic modules.

Each module includes code examples and a companion video walkthrough where the concepts are explained step by step. The repository comes with a pre‑configured devcontainer and GitHub Copilot integration, so you can run the examples in a GitHub Codespace or in your local IDE with little setup. There is also a glossary for newcomers and a testing guide to see how to test LangChain4j applications.

Who it's for

This is aimed at developers who are new to LangChain4j and want a structured, hands‑on learning path. You should be comfortable with Java and basic programming concepts, but you don't need any prior experience with AI frameworks or Azure. The course is also available in over 50 languages thanks to community translations, so it can reach a wide audience.

Highlights

  • Five progressively deeper modules, from a simple chat to AI agents.
  • Video walkthroughs for every module with live coding.
  • Code examples with suggested questions you can ask GitHub Copilot to deepen understanding.
  • A devcontainer for GitHub Codespaces and local development, pre‑configured with Copilot.
  • Multi‑language support with 50+ translations (clone without translations to save bandwidth).
  • Built around Azure OpenAI, with a free Azure account to get started.
  • Additional resources include a glossary and a testing guide.

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