Introduction to AI Agent Development with Python

The demand for autonomous AI systems is growing rapidly, but building them requires moving beyond simple static prompts. This course guides you through the foundational concepts of designing software agents that can reason, plan, and execute tasks independently. By reading through this text-based course, you will transition from a traditional developer to an AI agent architect. You will understand how to structure agent workflows, connect them to external tools, and manage state using Python and modern agent development kits (ADKs). What you'll learn: - Understand the fundamental architecture of AI agents, including planning, memory, and execution loops. - Write clean Python code to initialize, configure, and run autonomous agents. - Implement function calling and tool use to allow agents to interact with external databases and APIs. - Apply prompt engineering and structured output techniques to guide agent decision-making. - Explore modern agent development frameworks and SDKs to orchestrate multi-agent workflows. - Practice debugging and evaluating agent behavior to ensure reliable and safe execution. The course begins with core terminology and the history of autonomous agents before moving into hands-on code explanations. You will study structured text examples and architectural patterns that show how agents think, act, and collaborate. This course is designed for beginner Python developers, software engineers, and tech enthusiasts who want to enter the field of AI engineering. No prior experience with artificial intelligence is required, though basic Python knowledge is helpful. Start reading today to build your first autonomous AI agent from the ground up.