AI Agent Development with Gemini

Large language models are highly capable on their own, but they become truly transformative when they can take action. Learning how to build autonomous AI agents that can interact with external tools and databases is the next frontier in software development. This text-based course guides you from foundational AI concepts to constructing functional, goal-driven agents using Gemini. You will learn to connect models to live data, execute external functions, and design structured workflows that solve real-world problems. What you'll learn: Understand the foundational concepts of agentic AI and model reasoning; Configure Gemini API connections and manage system instructions for predictable behavior; Implement function calling to let your agents safely interact with external APIs; Apply retrieval-augmented generation patterns to ground agent responses in specific text data; Design structured agent loops that handle multi-step planning and error correction; Practice building functional text-based agent workflows from scratch. You will start with core terminology and API basics before moving step-by-step through tool integration and multi-turn conversation logic. This course is designed for software developers and AI enthusiasts who are new to agentic workflows, with no prior AI engineering experience required. Start reading today to begin building autonomous text-based assistants.