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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.

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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

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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

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Built for Experimentation

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

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Get Started

Start with Context Engineering

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

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Course Modules

Context Engineering & Prompt Design

Master structured prompts, advanced techniques, and cost optimization. Foundation for everything else.

Retrieval Augmented Generation (RAG)

Build RAG systems with hybrid search, reranking, and evaluation. Production patterns for connecting LLMs to your data.

AI Agents

Design agents with tools, memory, and orchestration. Learn when to use autonomous vs. orchestrated patterns.

Agent Reliability & Optimization

Implement guardrails, business rules, and optimization strategies. Make agents reliable enough for production.

Multi-Agent Systems & Coordination

Coordinate multiple agents with workflow and agent orchestration. Build complex systems that actually work.

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Contributors

This tutorial was created by:
Pablo Luna

Chief Product Officer, Digibee

Pablo brings over two decades of experience in product management and development. He has held leadership roles at companies like MuleSoft and Domino Data Lab, and holds a Product Management Certificate from UC Berkeley. Pablo is passionate about building strong teams and fostering a culture of creativity and collaboration.

Connect on LinkedIn →

Paulo Veiga

Head of Engineering

Paulo is an engineering leader with over 20 years of experience building enterprise-scale platforms and data products. He previously held leadership roles at SAP, Salesforce, MuleSoft, Oracle, and Atlassian. Paulo is also the co-founder of WiseMapping, an open-source mind mapping tool.

Connect on LinkedIn →

Sponsored by Digibee

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Ready to Start?

Begin with Module 1

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