Learn how to Develop & Deploy you Real World AI agents.

Master Google Agent Development Kit (ADK) and the Google Gen AI SDK by building and deploying production-ready AI agents from scratch.

This hands-on course is designed for developers who want practical experience with Google's latest agent framework. Instead of toy examples, you'll build 6 real-world AI agents that demonstrate modern agentic AI architectures and enterprise integration patterns.

Also the course teaches how to use polished UI framework like Chainlit, Streamlit, Copilotkit with AI Agents

What You'll Learn

Build AI agents using Google ADK
Develop applications with the Google Gen AI SDK and Gemini models
Create multi-agent systems and agent orchestration workflows
Implement Model Context Protocol (MCP) for tool and resource integration
Build Agent-to-Agent (A2A) communication workflows
Implement Retrieval-Augmented Generation (RAG) using enterprise knowledge sources
Integrate AI agents with SQL databases, APIs, and external services
Develop conversational agents with memory, state management, and streaming responses
Build user interfaces using Chainlit, Streamlit, and CopilotKit
Test and debug agents locally
Deploy production-ready applications to Google Cloud Run

Real-World Projects

Throughout the course, you'll build six end-to-end AI agent applications covering:

Multi-agent collaboration
Tool calling and function execution
MCP server integration
RAG-based knowledge assistants
Database-backed AI applications
Human-like conversational agents
Production deployment on Google Cloud

Prerequisites

Basic Python programming
Familiarity with REST APIs
Basic understanding of Generative AI concepts (helpful but not required)

Whether you're an AI Engineer, Python Developer, Cloud Engineer, or Software Architect, this course will provide the practical skills needed to design, build, integrate, and deploy production-grade AI agents using Google's latest AI technologies.