Agentic AI with Google ADK & MCP Servers

About this course

The Next Evolution of AI: Standardized Agentic SystemsMove beyond basic LLM calls and master the architecture required for production-grade Autonomous AI Agents. This hands-on course, led by a Google Cloud and AI expert, provides the definitive technical blueprint for engineering robust, multi-step agentic systems capable of driving enterprise automation.

Core Focus: The ADK and the MCP Standard

This curriculum is built around the two most critical components for next-generation AI infrastructure:

Google Agent Development Kit (ADK): Learn to use Google's cutting-edge framework for engineering reliable, scalable, and complex AI agents. You will master agentic design patterns, memory management, and task decomposition for large-scale deployments on Google Cloud.

Model Context Protocol (MCP): The MCP is the vital open standard that solves the "N × M" integration problem. You will learn to deploy MCP Servers that act as standardized, secure gateways, allowing your agents to dynamically discover and interact with all your external systems—from PostgreSQL and MongoDB to GitHub and private APIs—in a uniform, secure manner.

What You Will Master:

Agent Architecture & Deployment: Design and implement agent workflows that are resilient, observable, and ready for deployment using MLOps principles within the Google Cloud ecosystem.

Tool Use and RAG Standardization: Learn to structure external tools and data sources (RAG) behind the MCP standard, ensuring your agents are always grounded in real-time, accurate context, drastically reducing LLM hallucinations.

Secure Multi-System Orchestration: Implement the MCP client-server architecture to ensure agents can ex

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