Build AI Agents with Google ADK

If you’re new to generative AI and curious about building real AI tools, this course will take you from zero to job-ready in Google’s Agent Development Kit (ADK). You’ll learn to build intelligent AI agents powered by Google’s Gemini models and Vertex AI platform. We start with the basics – setting up your Python environment, installing ADK, and creating your first agent in minutes – and then add complexity step by step.

Through hands-on, project-driven lessons, you will create custom “tools” (APIs) so your agents can do things like book flights, manage calendars, or analyze data. Along the way you’ll master key concepts like agent state and memory (persistent sessions and databases), structured outputs. Later in the course, you’ll see how Google’s Vertex AI makes it easy to train models, perform Retrieval-Augmented Generation (RAG) with vector search, and deploy agents to production.

You’ll build multi-agent systems where specialized agents collaborate on complex tasks, and even implement “agent-as-a-tool” scenarios where agents call other agents. Throughout, the focus is on real-world readiness: we use practical examples and code, emphasize debugging and testing, and cover deployment on Google Cloud. By the end of this course, you won’t just have theory – you’ll have a portfolio of AI agent projects and the skills to apply them.

Instructors promise you’ll “build, deploy, and scale production-ready AI agents” using Google ADK. This beginner-friendly course requires only basic Python; no prior AI framework experience is needed. You’ll finish able to design, debug, and launch autonomous AI agents that use Gemini, manage their own memory, and solve realistic problems – exactly the job-ready skills employers are looking for.