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Learning Paths

🎯 Purpose: Structured learning progression from ADK fundamentals to production mastery.

📚 Source of Truth: do + tutorial_implementation/ + research/ (ADK 1.15)


🏁 Beginner Path (1-2 weeks)

Phase 1: Core Concepts (Days 1-3)

📖 Tutorials: 01_hello_world_agent.md, 02_function_tools.md

🎯 Goals:

  • Understand agent lifecycle
  • Create basic LLM agents
  • Implement function tools
  • Run agents locally

💡 Key Concepts:

  • Agent class structure
  • Tool function patterns
  • State management basics
  • Local development setup

Phase 2: Workflow Patterns (Days 4-7)

📖 Tutorials: 03_openapi_tools.md, 04_sequential_workflows.md, 05_parallel_processing.md

🎯 Goals:

  • Integrate external APIs
  • Build sequential pipelines
  • Implement parallel processing
  • Handle complex workflows

💡 Key Concepts:

  • OpenAPI tool generation
  • SequentialAgent composition
  • ParallelAgent optimization
  • Error handling patterns

🚀 Intermediate Path (2-4 weeks)

Phase 3: Advanced Patterns (Days 8-14)

📖 Tutorials: 06_multi_agent_systems.md, 07_loop_agents.md, 08_state_memory.md

🎯 Goals:

  • Design multi-agent systems
  • Implement iterative refinement
  • Master state management
  • Build complex agent hierarchies

💡 Key Concepts:

  • Agent communication patterns
  • LoopAgent convergence criteria
  • State scoping (session/user/app/temp)
  • Memory persistence strategies

Phase 4: Production Foundations (Days 15-21)

📖 Tutorials: 09_callbacks_guardrails.md, 10_evaluation_testing.md, 11_built_in_tools_grounding.md

🎯 Goals:

  • Implement safety guardrails
  • Set up comprehensive testing
  • Use built-in grounding tools
  • Prepare for production deployment

💡 Key Concepts:

  • Callback integration
  • Automated testing frameworks
  • Grounding with web/data/location
  • Quality assurance patterns

🎯 Advanced Path (4-8 weeks)

Phase 5: Real-Time & Streaming (Days 22-28)

📖 Tutorials: 12_planners_thinking.md, 13_code_execution.md, 14_streaming_sse.md, 15_live_api_audio.md

🎯 Goals:

  • Master advanced reasoning
  • Enable code execution
  • Implement real-time streaming
  • Handle multimodal inputs

💡 Key Concepts:

  • Custom planner strategies
  • Code execution environments
  • SSE and BIDI streaming
  • Audio/video processing

Phase 6: Enterprise Integration (Days 29-42)

📖 Tutorials: 16_mcp_integration.md, 17_agent_to_agent.md, 18_events_observability.md, 19_artifacts_files.md

🎯 Goals:

  • Integrate MCP protocol
  • Build distributed agent systems
  • Implement comprehensive observability
  • Handle file artifacts

💡 Key Concepts:

  • MCP tool standardization
  • A2A communication protocols
  • Event-driven architectures
  • File system integration

🏭 Expert Path (8+ weeks)

Phase 7: Production Mastery (Days 43-56)

📖 Tutorials: 20_yaml_configuration.md, 21_multimodal_image.md, 22_model_selection.md, 23_production_deployment.md

🎯 Goals:

  • Master configuration management
  • Handle multimodal content
  • Optimize model selection
  • Deploy production systems

💡 Key Concepts:

  • YAML-based configuration
  • Image/video/document processing
  • Model performance optimization
  • Cloud deployment strategies

Phase 8: Advanced Topics (Days 57+)

📖 Tutorials: 24_advanced_observability.md through 34_pubsub_adk_integration.md

🎯 Goals:

  • Master Pub/Sub patterns
  • Build event-driven systems
  • Implement advanced integrations
  • Create enterprise-scale solutions

💡 Key Concepts:

  • Event-driven agent communication
  • Scalable system architecture
  • Advanced integration patterns
  • Enterprise deployment strategies

🎯 Specialization Tracks

API Integration Specialist

Focus: External service integration, API design, authentication

Key Tutorials:

  • 03_openapi_tools.md
  • 16_mcp_integration.md
  • 24-34_pubsub_integration.md

Skills: REST API design, OAuth flows, webhook handling

Performance Optimization Expert

Focus: Speed, cost, and quality optimization

Key Tutorials:

  • 05_parallel_processing.md
  • 12_planners_thinking.md
  • 22_model_selection.md

Skills: Parallel processing, model tuning, cost management

Enterprise Architect

Focus: Large-scale systems, observability, security

Key Tutorials:

  • 17_agent_to_agent.md
  • 18_events_observability.md
  • 23_production_deployment.md

Skills: Distributed systems, monitoring, compliance

AI Product Builder

Focus: User experience, multimodal, real-time interaction

Key Tutorials:

  • 14_streaming_sse.md
  • 15_live_api_audio.md
  • 21_multimodal_image.md

Skills: UX design, real-time systems, multimodal AI


📚 Learning Resources

Documentation

  • Mental Models: Core concepts and architectural patterns
  • Tutorial Series: 34 comprehensive implementation guides
  • Research: ADK source code analysis and examples
  • ADK Cheat Sheet: Quick reference guide for commands, patterns, and troubleshooting

Practice Projects

Beginner Projects:

  • Q&A chatbot with function tools
  • Data processing pipeline
  • Simple API integration

Intermediate Projects:

  • Multi-agent content creation system
  • Real-time data analysis dashboard
  • E-commerce recommendation engine

Advanced Projects:

  • Enterprise document processing system
  • Real-time collaborative coding assistant
  • Multimodal content analysis platform

Community & Support

  • GitHub Issues: Bug reports and feature requests
  • Stack Overflow: Technical Q&A with google-adk tag
  • Discord/Slack: Community discussions and help
  • Official Docs: Comprehensive API reference

🎯 Progress Tracking

Skill Assessment Checklist

Core Fundamentals

  • Agent lifecycle understanding
  • Basic tool implementation
  • Local development setup
  • Simple workflow patterns

Intermediate Skills

  • Multi-agent system design
  • State management mastery
  • Production testing patterns
  • API integration expertise

Advanced Capabilities

  • Real-time streaming implementation
  • Enterprise observability
  • Performance optimization
  • Distributed system architecture

Expert Level

  • Custom planner development
  • Multimodal processing
  • Production deployment mastery
  • Enterprise integration patterns

🎯 Key Takeaways

  1. Structured Progression: Follow the 8-phase learning path for comprehensive mastery
  2. Hands-on Practice: Complete tutorial implementations alongside theoretical learning
  3. Specialization Options: Choose focus areas based on career goals and interests
  4. Continuous Learning: ADK evolves rapidly - stay updated with latest patterns
  5. Community Engagement: Join discussions, contribute to open source, share knowledge

🔗 Next: Use the Reference Guide for quick lookups and configuration examples. Check the Glossary for definitions of key terms.