Designing Sequential Workflows with Agent Development Kit Agents

Modern AI applications require more than unpredictable chatbot responses; they demand structured, reliable, and sequential execution to complete complex business tasks. This course teaches you how to design deterministic workflows using the Agent Development Kit (ADK) to ensure your AI agents operate within safe, predictable boundaries. You will transition from basic prompt-response interactions to building robust, multi-agent systems that execute tasks in a precise order. By reading through this comprehensive guide, you will master the principles of structured orchestration, learning how to pass context seamlessly between agents and handle execution errors. We also cover modern design patterns, including state management and basic observability, to ensure you can monitor and debug your workflows effectively. What you'll learn: - Understand the core architecture and foundational concepts of the Agent Development Kit - Design deterministic sequential workflows that execute tasks in a predictable order - Configure multi-agent orchestration to pass data and context between specialized agents - Implement error handling and fallback strategies to manage execution failures - Apply state management patterns to maintain consistency across long-running tasks - Establish basic observability to monitor agent decisions and debug workflow paths This text-based course starts with foundational concepts and essential terminology before guiding you through structured, step-by-step implementations and practical design patterns. Each chapter includes clear explanations and written code examples to solidify your understanding. This course is designed for software developers, system architects, and AI enthusiasts who want to build reliable agentic systems. No prior experience with agent orchestration frameworks is required, though a basic understanding of programming concepts will help you get the most out of the material. Start reading today to build reliable, structured AI workflows with confidence.