How to Code Agents with Google's NEW ADK

Overview

Discover how to build AI agents with Google's Agent Developer Kit (ADK), exploring workflows, code examples, multi-agent configurations, dynamic memory, and Agent2Agent protocols.

Syllabus

• Introduction to Google's Agent Developer Kit (ADK)
Overview of the ADK
Installation and setup
Key components and tools
• Building Basic AI Agents
Understanding agent architecture
Writing your first agent using ADK
Testing and debugging agents
• Exploring ADK Workflows
Workflow concepts in ADK
Creating effective workflows
Workflow management and optimization
• Code Examples and Best Practices
Analyzing sample code
Implementing best practices in agent coding
Debugging and refining agent code
• Multi-Agent Configurations
Setting up multi-agent systems
Communication between agents
Multi-agent collaboration and conflict resolution
• Dynamic Memory Management in Agents
Understanding dynamic memory in AI agents
Implementing memory mechanisms
Memory optimization for performance
• Agent2Agent Protocols
Introduction to Agent2Agent communications
Designing effective communication protocols
Security considerations in agent communication
• Advanced Topics in ADK
Customization and extending ADK capabilities
Integration with other AI tools and systems
Future directions and development in ADK
• Practical Projects and Applications
Project work: Designing a complete agent based system
Case studies and real-world applications
Presentations and peer review
• Conclusion and Next Steps
Recap of key concepts and skills
Resources for further learning
Future opportunities in AI agent development with ADK

---

Subjects

Computer Science