Build Your Own AI Agent

Discover the agentic ecosystem (LLMs, Tools, MCP) and build your own AI agent with ADK, from prototype to deployment.
Markdown versionLearning objectives
- Distinguish an agent from a chatbot
- Discover the components of an agentic architecture: LLMs, Tools, MCP
- Build and deploy an agent with ADK
Introduction & Use Cases
- Presentation of existing use cases
- Why is it interesting to build your own agent?
- Agent vs Chatbot: understanding the differences
Architecture
- Possible architectures for creating and managing agents
- Session management, memory, grounding, MCP
- Market frameworks and tools for efficiency
Going Further
- Testing, observing, adjusting your agent
- Protecting with “Guardrails”
- Deploying your agent
Hands-on Workshops
Workshop 1: Create a First Agent with ADK
Build a functional agent with the Agent Development Kit.
Workshop 2: Add Interaction Capabilities via Tools
Enrich your agent with tools to interact with external systems.
Workshop 3: MCP & Agents
Build an AI agent and configure an MCP server with Cloud Run.
Prerequisites
- Have software development experience
- Know the basics of Python
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