Planning AI Agents: Designing Trusted Conversational Prototypes

Artificial intelligence is transforming how businesses interact with customers, but building a successful AI agent requires careful planning before writing any code. This course teaches you how to map out conversational flows, establish guardrails, and design agents that operate safely and effectively. You will learn the essential principles of agentic workflows, prompt engineering, and grounding techniques to ensure your prototypes remain accurate and aligned with user needs. By the end of this course, you will be able to confidently architect and document an AI agent prototype that solves real-world business challenges. What you will learn: Understand the foundational architecture of AI agents and conversational design; Establish trust boundaries and safety guardrails to prevent hallucination; Map out user journeys and define clear system instructions; Apply modern grounding techniques using structured data sources; Draft and refine agent prompts for consistent, predictable outcomes; Document clear specifications for development teams. The course begins with core definitions and trust frameworks, then guides you step-by-step through the process of designing a robust agent specification. This course is designed for business analysts, product managers, and developers who want a structured approach to planning conversational AI solutions. No prior programming experience is required. Start reading today to design your first trusted AI agent prototype.