Building Declarative AI Agents with TypeSpec

Designing intelligent agents that seamlessly connect to your business data does not have to be complex. By leveraging TypeSpec, you can define clear, structured API schemas that enable declarative AI agents to understand and interact with your backend systems. This course guides you through the process of building, configuring, and optimizing your first declarative agent. You will transition from understanding core API design principles to preparing agents capable of fetching, processing, and presenting real-time business insights. What you'll learn: - Understand the foundational concepts of declarative agents and TypeSpec syntax - Design structured API definitions to expose business data to AI models - Configure agent behaviors and system prompts for accurate user interactions - Apply modern schema validation and structured output patterns - Integrate retrieval-augmented generation concepts to ground agent responses - Optimize and test your agent's performance using text-based scenarios The course begins with the basics of TypeSpec syntax and declarative agent architecture. You will then progress through step-by-step written explanations and code exercises to design schemas, define parameters, and connect your agent to mock data sources. This course is designed for beginner developers, technical writers, and product managers who want to build AI integrations. No prior experience with TypeSpec or AI agent development is required. Start reading today to build your first data-connected AI agent.