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About This Course

Author

Kyaw Mong is a software engineer and AI practitioner with extensive experience building production AI systems. This course distills years of hands-on experience into a comprehensive learning path for aspiring agent developers.

Course Philosophy

This course is built on three principles:

1. Learn by Building Every concept is accompanied by working code examples. You’ll build real agents, not just read about them.

2. Production-First We don’t just teach toy examples. You’ll learn reliability, testing, monitoring, and deployment—everything needed for production systems.

3. Comprehensive Coverage From foundations to frontier research, this course covers the full spectrum of agent development in 21,000+ lines of detailed content.

What Makes This Course Different

  • Complete working code: Every example runs and can be deployed
  • Real-world focus: Patterns used in production systems
  • Cutting-edge content: Latest research and techniques
  • Hands-on capstone: Build a complete autonomous agent
  • Free and open source: Available to everyone

Course Structure

The course follows a carefully designed progression:

Foundations (Chapters 1-2): Core concepts and first agent Intermediate (Chapters 3-5): Advanced patterns and production readiness
Advanced (Chapters 6-8): Specialized agents and enterprise scale Expert (Chapters 9-10): Research frontiers and capstone project

Acknowledgments

This course builds on the incredible work of the AI research community. Special thanks to:

  • OpenAI, Anthropic, and other AI labs for advancing the field
  • LangChain, AutoGPT, and framework creators
  • The open source community
  • Researchers publishing papers and sharing knowledge

Version History

v1.0 (February 2026)

  • Initial release
  • 10 complete chapters
  • Autonomous Software Engineering Agent capstone
  • 21,000+ lines of content

Contact & Feedback

  • GitHub: ekyawthan/ai-agents-course
  • Issues: Report errors or suggest improvements
  • Discussions: Share your projects and ask questions

License

This course is released under the MIT License. You’re free to use, modify, and share the content with attribution.

Ready to start learning? Head to Prerequisites to get set up!