Generative AI Strategic Leader | Vanderbilt University - How Agentic AI Works: The Flipped Interaction Pattern

This lecture breaks down the core “flipped interaction” pattern behind agentic AI—one of the foundational concepts in the *Generative AI Strategic Leader Specialization from Vanderbilt University on Coursera.* Instead of simply responding to prompts, agentic AI can ask questions, plan next steps, translate between systems, and carry out actions toward a goal. In this lesson, learners see how a simple restaurant-recommendation example demonstrates the broader workflow behind agentic systems: gathering information, adapting in real time, and executing tasks one step at a time. This video is part of a free course preview. Enrolling in the full specialization unlocks hands-on practice, real-world scenarios, and guided instruction to help leaders build and deploy effective agentic AI strategies across their organizations: https://bit.ly/4rwI5Sx *Chapters* 00:00 – What is the flipped interaction pattern? 00:17 – From “telling AI what to do” to “AI telling you” 00:35 – AI gathering information and running actions 01:13 – Setting up the restaurant recommendation prompt 01:57 – Why “one question at a time” works 02:36 – Example: Choosing Tex-Mex in Nashville 03:01 – How AI adapts based on each answer 03:49 – Handling unstructured, human-style inputs 04:22 – Refining recommendations (location, time, convenience) 05:00 – Solving decisions with agentic AI 05:23 – Collecting information from humans vs. databases 05:57 – AI as a “protocol droid” interface 06:19 – How agentic AI plans, executes, and adapts Explore the full *Generative AI Strategic Leader Specialization* and gain the skills to apply agentic AI, LLMs, and workflow automation in real organizational settings: https://bit.ly/4rwI5Sx #GenerativeAI #AgenticAI #AILeadership #PromptEngineering #LLM #ArtificialIntelligence #AIAgents #Coursera #TechSkills #Automation