This repository offers a beginner-friendly course for building AI applications using LangChain4j and Azure OpenAI GPT-5.2. It targets developers new to AI application development, providing a structured path from basic chat interfaces to sophisticated AI agents, with the benefit of extensive multi-language support and integrated learning resources.

How It Works

The course employs LangChain4j as the core framework, integrating with Azure OpenAI for advanced language models and GitHub Models for initial modules. It covers key AI concepts including Prompt Engineering, Retrieval-Augmented Generation (RAG), external Tool integration, and the Model Context Protocol (MCP) for agentic behaviors. This modular approach allows learners to progressively build complex AI functionalities.

Quick Start & Requirements

• Primary Install/Run: Fork the repository and launch within GitHub Codespaces for a pre-configured development environment.
• Prerequisites: A GitHub account is required. Modules 1-5 necessitate an Azure account (free tier available). The development container is pre-configured with GitHub Copilot for AI-assisted coding.
• Estimated Setup: 5-10 minutes for GitHub Codespaces environment setup.
• Links: Repository, Azure Free Account, GitHub Copilot.

Highlighted Details

• Extensive Multi-Language Support: Features over 50 language translations for course materials, managed via GitHub Actions. Users can opt for a sparse checkout to significantly reduce repository download size by excluding translation assets.
• Video Walkthroughs: Each module is accompanied by a live video session that walks through concepts and code examples step-by-step.
• Integrated AI Pair Programming: The development environment includes GitHub Copilot, offering code explanations, extensions, and suggestions directly within the IDE, with suggested prompts provided in code headers and module READMEs.

Maintenance & Community

• Community Support: Links for getting help and product feedback are provided within the README. Specific community channels (e.g., Discord/Slack) are mentioned under "Getting Help."

Licensing & Compatibility

• License: MIT License.
• Compatibility: The MIT license generally permits commercial use and integration into closed-source projects. Usage of Azure OpenAI services is subject to Azure's terms.

Limitations & Caveats

The repository's download size can be substantial due to extensive language translations; sparse checkout is recommended for faster cloning. Modules 1-5 have a dependency on Azure OpenAI services. The course material focuses on learning and application development rather than providing a production-ready library.