Building Custom Actions and Flows for AI Agents

Artificial intelligence agents are transforming how we automate complex tasks, but generic models often lack the specific capabilities needed for specialized workflows. To build truly effective digital assistants, you must learn how to connect them to custom tools, structure their decision-making logic, and guide their outputs reliably. This course teaches you how to design, build, and integrate custom actions and structured flows to supercharge your agentic applications. You will transition from understanding basic conversational models to designing sophisticated, goal-oriented agents that can interact with external systems and execute multi-step workflows. What you'll learn: Understand the core architecture of autonomous agents and how they utilize tools; Design custom actions that allow agents to execute specific programmatic tasks; Build structured flows to guide agent decision-making through complex sequences; Create reusable prompt templates that ensure consistent and reliable agent behavior; Implement error handling and fallback strategies for robust agent interactions; Apply modern evaluation techniques to measure and optimize agent performance. We begin with foundational concepts, defining what agents are and how they interact with their environments. From there, you will progress through structured text-based lessons covering API integrations, state management, and orchestration strategies. This course is designed for software developers, product builders, and technology enthusiasts who are new to agentic workflows and want to build custom automation solutions. No advanced machine learning background is required, though basic programming familiarity is helpful. Start learning today and build agents that do more.