Planning and Designing AI Agents

Artificial intelligence is shifting from passive assistance to active agency, but building a successful AI agent requires careful planning before writing any configuration or code. This course guides you through the foundational concepts of designing reliable, secure, and goal-oriented AI agents. You will learn how to define an agent's scope, establish trust boundaries, and map out its interactions with users and systems. By completing this written guide, you will gain a structured methodology for planning AI agents that deliver real business value while maintaining strict ethical and operational guardrails. What you'll learn: - Understand the core differences between traditional automation and autonomous AI agents - Define the specific business goals, scope, and limitations of your AI agent - Map user journeys and design predictable interaction flows for agent-to-human handoffs - Establish robust trust boundaries, data privacy guidelines, and safety guardrails - Determine the necessary data sources and system integrations your agent needs to succeed - Formulate clear evaluation criteria to test and refine your agent's performance We begin with essential AI agent terminology and foundational concepts before moving into practical planning frameworks, system integration mapping, and trust design. You will explore real-world scenarios through written walkthroughs that illustrate how to translate business requirements into technical blueprints. This course is designed for business analysts, product managers, and aspiring AI developers who want to learn how to architect AI agents from the ground up. No prior programming or machine learning experience is required to get started. Begin planning your first trusted AI agent today.