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Build Production-Ready AI Agents in Days, Not Months

The only comprehensive Google ADK training with 34 hands-on tutorials, working code examples, and production deployment patterns. Learn skills that directly impact your projects and career.

✓ 100% Free & Open Source • ✓ No Login Required • ✓ Copy-Paste Ready Code

What You'll Build (and When)

Stop learning in the abstract. Start building real agents you can show your team today.

⚡ First 30 Minutes

Your First Working Agent

Deploy a conversational agent with Google Search integration. Copy, paste, run. That simple. No complex setup or infrastructure required.

Start tutorial →
🎯 Day 1

Multi-Agent System

Build coordinated agent workflows with parallel processing. The kind of architecture senior engineers get paid to design.

View roadmap →
🚀 Week 1

Production Deployment

Ship to Cloud Run with monitoring, testing, and enterprise integrations. Portfolio-worthy code you can deploy tomorrow.

See deployment patterns →
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Choose Your Career Path

Pick the track that matches where you want to take your AI development skills

🟢

Get Hired Track

Master ADK fundamentals that hiring managers look for. Build portfolio projects that prove you can ship production agents.

  • Working code examples you can demo
  • Tool integration patterns
  • State management & workflows
  • Interview-ready knowledge
Start Building →
🟡

Level Up Track

Advance from junior to senior by mastering complex multi-agent architectures and sophisticated orchestration patterns.

  • Multi-agent coordination
  • Parallel & async workflows
  • Agent-to-Agent (A2A) protocol
  • MCP tool integration
Advance Skills →
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Ship to Prod Track

Deploy enterprise-grade agents with confidence. Learn testing, monitoring, and deployment strategies used by production teams.

  • Cloud Run & Vertex AI deployment
  • Testing & evaluation frameworks
  • Observability & debugging
  • React/Next.js integration
Deploy Now →

Why Developers Choose This Training

We respect your time. Every tutorial is designed to teach you something you'll actually use.

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Copy-Paste Ready Code

Every example runs. No pseudo-code, no "figure it out yourself" gaps. Working implementations with tests you can adapt immediately.

🧠

Mental Models, Not Just Syntax

Understand the "why" behind agent architecture decisions. Learn frameworks that help you solve new problems, not just memorize patterns.

🎯

Aligned with Google's Official ADK

Based on official documentation and patterns from Google's ADK team. Learn the framework as it's meant to be used, with 13.7k+ stars on GitHub.

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Production Patterns Included

Deploy to Cloud Run, Vertex AI, or your own infrastructure. Testing, monitoring, and CI/CD patterns that work in real companies.

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Progressive Complexity

Start with a working agent in 30 minutes. Build to multi-agent systems. Each tutorial builds on previous knowledge without overwhelming you.

🌐

Full-Stack Integration Examples

Connect agents to React, Next.js, Streamlit UIs. Learn A2A protocol and MCP. Build complete applications, not just isolated backends.

Today I Learn (TIL)

Quick, focused learning articles on specific ADK features and patterns. 5-10 minute reads with working implementations.

New
Oct 19, 2025

Context Compaction with ADK 1.16

Automatically summarize conversation history to reduce token usage by 80-90%. Learn how LLM-based event compaction works and when to use it in production.

ADK 1.16+8 min readintermediate
Coming Soon
Suggested Topics

Build Your Own TIL

More TIL articles coming weekly! Suggested topics include Context Caching, Streaming Responses, Error Handling Patterns, Multi-Tool Best Practices, and more.

Community DrivenOpen Source

🎯 Each TIL includes a complete working implementation with tests

View All TIL Articles →

Join Our Growing Community

Connect with fellow developers and contribute to the future of AI agent development

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Tutorial Implementation: 34/34 completed
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Test Cases: 68/100 completed
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Not Sure Where to Start?

Take our quick quiz to find the perfect learning path for your experience level

Question 1 of 3

What's your experience with AI/ML?