Prompt Chaining: Building Structured AI Workflows

Simple single-prompt queries often fail when tackling complex, multi-stage tasks. By breaking these objectives down into a sequence of connected prompts, you can guide AI models to produce highly reliable and structured outputs. In this course, you will discover how to design, connect, and optimize prompt chains to handle sophisticated workflows. You will learn to pass data seamlessly from one step to the next, enforce structured formatting, and build robust error-handling mechanisms into your AI processes. What you'll learn: - Understand the fundamental principles of prompt engineering and structured task planning - Design multi-step prompt chains that break complex objectives into manageable sub-tasks - Implement structured outputs, such as JSON, to ensure reliable data parsing between steps - Apply conditional logic and fallback strategies to handle unexpected AI responses - Integrate external context and basic retrieval patterns into your sequential workflows - Evaluate and refine prompt performance to maintain accuracy and consistency Starting with core concepts and foundational definitions of prompt design, the course guides you through practical architectural patterns for chaining. Through written explanations, structured walkthroughs, and text-based code examples, you will learn to construct workflows that deliver predictable results. This course is designed for beginners, and no prior experience with AI programming is required. Start building reliable, multi-step AI workflows today.