AI Agent Strategy: Discover, Design, and Prototype

Artificial intelligence is evolving from passive assistants into active, autonomous agents capable of executing complex workflows. To leverage this shift, organizations need a structured approach to identify, plan, and build agentic solutions. This text-based course guides you through the foundational strategy of AI agent transformation. You will transition from understanding basic chatbot technology to designing sophisticated, multi-step agent architectures that solve real-world operational challenges. What you'll learn: Understand the fundamental differences between traditional chatbots and autonomous AI agents; Discover high-impact opportunities for agentic automation within your organization; Design robust agent architectures, including planning, memory systems, and tool integration; Apply modern design patterns like retrieval-augmented generation (RAG) and human-in-the-loop oversight; Prototype agentic workflows using structured frameworks and clear evaluation metrics. The course begins with essential terminology and the core concepts of agentic systems. From there, you will explore strategic discovery frameworks, architectural design principles, and step-by-step prototyping methodologies. This course is designed for business leaders, product managers, and aspiring AI strategists who want to understand the strategic side of AI agents. No programming experience or technical prerequisites are required. Start building your strategic foundation for the next generation of AI today.