Anatomy of an ADK Agent for AI Applications

Artificial Intelligence agents are transforming how we build software, yet understanding how they coordinate tools, models, and execution environments can feel overwhelming. This course breaks down the core structural architecture of an ADK (Agent Development Kit) agent, giving you the conceptual and practical foundation required to design robust AI workflows. You will transition from a curious beginner to a confident practitioner capable of structuring agentic systems that solve real-world problems. What you'll learn: - Understand the foundational theory of agentic workflows and core ADK terminology - Explore the role of the LLM Agent as the central decision-making brain of your system - Configure and register custom tools to extend your agent's capabilities - Manage execution flow, state, and memory using the Runner component - Design structured prompts and handle parsing errors to ensure system reliability - Implement basic security boundaries and zero-trust concepts for safe tool execution This text-based program begins with essential concepts and definitions, guiding you step-by-step through the architecture of modern agent frameworks. You will read through detailed explanations, structural breakdowns, and realistic code patterns that demonstrate how these components interact. This course is designed specifically for software developers and tech enthusiasts who are new to building agentic AI applications and want a clear, conceptual starting point with no prior AI engineering experience required. Start reading today to master the building blocks of modern AI agents.