Hundreds of developers have already completed our first DEV Education Track, and today we're excited to keep the momentum going with our second track in partnership with the team at Google AI.
This intermediate-level track will guide you through building distributed multi-agent systems using Google's Agent Development Kit (ADK), Agent2Agent Protocol (A2A), and Cloud Run. You'll learn to architect AI applications as coordinated teams of specialized agents rather than relying on a single monolithic prompt.
📖 Part 1: Follow the Expert Tutorial
Start with this comprehensive Codelab:
Building a Multi-Agent System | Google Codelabs
“Build a distributed multi-agent system from scratch using the Google Agent Development Kit (ADK) and A2A protocol.”
codelabs.developers.google.com
You'll learn:
- Why specialized agents are more effective than monolithic prompts
- The architecture of distributed multi-agent systems
- How to master orchestration patterns
- How to implement the Agent-to-Agent (A2A) protocol for distributed communication
🤖 Part 2: Build Your Own Multi-Agent System
After you've worked through the tutorial, it's time to put your new skills to the test!
Your assignment is to build a multi-agent system that takes a task that would normally require "one giant prompt" and breaks it into specialized roles, accessible through a web interface.
Requirements:
- Multiple specialized agents: Each agent has a focused responsibility
- Deployed to Google Cloud Run: Agents must run as separate microservices
- Frontend application: Web interface deployed to Cloud Run that users interact with
We encourage you to come up with your own apps, but here are some ideas if you need inspiration:
- Email Drafter: Topic agent suggests what to write → Writer agent creates draft → Editor agent polishes tone
- Gift Idea Generator: Profile analyzer understands the recipient → Idea finder suggests options → Budget filter removes expensive items
- To-Do Prioritizer: Task analyzer reviews your list → Urgency checker ranks by deadline → Focus agent picks top 3 for today
✏️ Part 3: Earn Community Recognition
Everyone who completes the track by sharing their assignments will earn the exclusive "Multi-Agent Systems Builder" badge on their DEV profile!
Your submission should include:
- What you built: Describe the problem your system solves
- Cloud Run Embed: Embed your web app directly into the submission
- Your agents: Explain each agent's specialized role and how they work together
- Key learnings: What surprised you? What was challenging?
Use our official submission template to share your assignment:
Badge Design 😍
Our badge acts as a certificate of completion that you can highlight on your DEV profile. It'll look like this:
Our team will review submissions on a rolling basis with badges awarded every few days. There's no deadline, so take your time and build something you're proud of!
Why Multi-Agent Systems?
Multi-agent systems are one of the most important architectural patterns in production AI development. Just as you wouldn't ask a single developer to handle frontend, backend, database, and DevOps all at once, modern AI systems benefit from specialization. This track teaches you to create focused agents and coordinate them to solve complex problems that would otherwise overwhelm a single prompt.
We can't wait to see what you create. Happy building! ❤️
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