6 Full Stack Real-World AI Agents-GCP, Gemini, ADK, MCP, A2A

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 AgentsWhat You'll LearnBuild AI agents using Google ADKDevelop applications with the Google Gen AI SDK and Gemini modelsCreate multi-agent systems and agent orchestration workflowsImplement Model Context Protocol (MCP) for tool and resource integrationBuild Agent-to-Agent (A2A) communication workflowsImplement Retrieval-Augmented Generation (RAG) using enterprise knowledge sourcesIntegrate AI agents with SQL databases, APIs, and external servicesDevelop conversational agents with memory, state management, and streaming responsesBuild user interfaces using Chainlit, Streamlit, and CopilotKitTest and debug agents locallyDeploy production-ready applications to Google Cloud RunReal-World ProjectsThroughout the course, you'll build six end-to-end AI agent applications covering:Multi-agent collaborationTool calling and function executionMCP server integrationRAG-based knowledge assistantsDatabase-backed AI applicationsHuman-like conversational agentsProduction deployment on Google CloudPrerequisitesBasic Python programmingFamiliarity with REST APIsBasic 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.