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What Makes This Different

Learn by experimenting with real code in an interactive sandbox. No setup, no dependencies—just open your browser and start building. Every concept includes runnable examples across multiple frameworks, so you can try things immediately and see what actually works.

Interactive Sandbox - Code in Your Browser

Every example runs in an embedded sandbox right in your browser, embedded <comming soon> or in Google Collab.
  • No installation required - Start coding in seconds
  • Multiple frameworks - LangChain, Google ADK, OpenAI Agent SDK, LlamaIndex, Cloude Agent sdk, CrewAI, LangGraph —your choice
  • Instant feedback - Modify code, run it, see results
  • Fork and experiment - Break things safely, learn by doing

Beyond the Basics

This isn’t another “Hello World” tutorial. We cover the advanced techniques that make AI agents production-ready:
  • Prompt caching strategies that significantly reduce costs
  • Hybrid search and reranking for RAG systems that return relevant results
  • Agent orchestration patterns for reliable autonomous systems
  • Evaluation frameworks that catch issues before production
  • Cost optimization techniques without sacrificing quality
  • Tool design that improves agent accuracy

Built for Experimentation

AI is learned by doing, not reading. Every module is designed around hands-on learning

Get Started

Start with Context Engineering

Begin your journey with prompt design fundamentals. Learn structured prompting patterns that reduce hallucinations and lower costs.

Course Modules


Contributors

This tutorial was created by:
  • Pablo Luna - CPO, Digibee
  • Paulo Veiga - Contributor
Sponsored by Digibee

Ready to Start?

Begin with Module 1

Start with Context Engineering & Prompt Design to build your foundation.