ADK-101Axalon Original
Agentic Architecture & Design
Taught by Dan King, 4x Google Trainer of the Year
2 daysILTIntroductoryLoading...
Foundations2 DaysHands-On
Public class policy: Classes run with a minimum of 6 participants. If minimum enrollment isn't reached, you'll be notified 7 days before with options to transfer or receive a full refund.
Overview
Build production-ready AI agents from foundations to deployment. Master the cognitive loop, design patterns (Sequential, Router, Parallel), tool integration, and state management. Hands-on workshop approach with 20% theory, 60% labs, 20% building your own agent.
What You'll Learn
- Build local agents with various architectures
- Understand and apply the cognitive loop
- Implement Sequential, Router, and Parallel agent patterns
- Design effective tool integration strategies
- Manage agent state and memory with Pydantic models
- Calculate and optimize token economics
Who Should Attend
Developers new to agent development. Python basics and GCP account required.
Products Covered
ADKVertex AIGeminiCloud RunAgent Engine
Course Modules
1
Day 1: The Agentic Shift
Topics
- Cognitive loop: Observation → Reasoning → Action → Reflection
- Gemini 3 Thinking Mode and model-internal reasoning
- ADK ecosystem overview
- Agent Engine vs Cloud Run deployment models
- First agent development
Learning Outcomes
- Explain the cognitive loop and its components
- Compare Agent Engine vs Cloud Run for different use cases
- Build and run a basic ADK agent locally
Activities
Theory (45min)Lab: Building AI Agents FoundationLab: Build Your First AI CompanionWorkshop: Define agent use case
2
Day 2: Design Patterns & Tools
Topics
- Sequential, Router, Parallel patterns
- Tool types and integration strategies
- Token economics and cost management
- Budget protection and infinite loop prevention
Learning Outcomes
- Select appropriate pattern for use case requirements
- Integrate tools effectively with agents
- Calculate and optimize token costs
Activities
Theory (45min)Lab: Multi-Tool AgentsLab: Empowering with ToolsLab: From Zero to AssistantWorkshop: Prototype pattern with cost estimate
3
Day 3: State & Memory
Topics
- Context management strategies
- Schema-based state with Pydantic models
- Memory persistence patterns
- Session management
Learning Outcomes
- Design effective state schemas
- Implement persistent memory for agents
- Build a complete stateful agent
Activities
Theory (45min)Lab: ADK Crash Course (Sessions/Memory)Lab: Personalized Agents with Memory BankWorkshop: Implement stateful agent (2hr)
Get This Training
No public classes currently scheduled. Express interest below or request private training.
Course Details
- Course Code
- ADK-101
- Duration
- 2 days
- Format
- ILT
- Level
- Introductory
- Price
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Questions About This Course?
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