1Module 1 · Prompts as the Foundation of Computation

  1. Augmented Intelligence45m
  2. How This Course Was Built15m
  3. ✎Build a Prompt Pattern Library40m
  4. The Research Arc of the Week: From Hands-On Agents to a Paper15m
  5. A Conversation Is One Big Prompt15m
  6. A Conversation Can Be Written Many Ways20m
  7. An LLM Has No Memory15m
  8. Conversations Are Plays: User, Assistant, System15m
  9. ✎Exercise: You Are the Playwright25m
  10. Next-Word Prediction: Learning from Patterns15m
  11. Teaching by Example50m
  12. ✎Exercise: Train by Example30m
  13. Every Response Is Part of a Future Prompt20m
  14. Alignment: Training the Trajectory20m

2Module 2 · Building Agents

  1. What Is an AI Agent?25m
  2. ✎Exercise: Your First Agents30m
  3. Multimodal Prompts: Images as Context20m
  4. ✎Exercise: The Agent's Eyes25m
  5. Tools: Constraining the Actions20m
  6. Tool Parameters and Descriptions20m
  7. ✎Exercise: Give the Agent Tools35m
  8. The Conversation with the Computer20m
  9. Protocols and Function Calling25m
  10. Shadows on the Wall20m
  11. The Context Window: A Limit on the Conversation20m
  12. The Economics of the Conversation20m
  13. ✎Exercise: The Window Lab35m
  14. Framing: The Description Chooses the Solution25m
  15. The Agent Loop30m
  16. ✎Exercise: The Agent Forge45m
  17. Where Does an Agent Get the Information It Needs?25m
  18. ✎Agent Design, Prototyping, and Informal Benchmarking Session90m
  19. ✎The Day After: Predicting a Research Opportunity90m
  20. ✎Positioning: How It's Done Today — and the Research Opportunity for Tomorrow60m

3Module 3 · Agent Tools, Knowledge, Memory & Research Design

  1. Tools Are Words25m
  2. The Language of Action30m
  3. Tool Design Case Studies35m
  4. ✎Exercise: The Design Studio40m
  5. Self-Dialogue: Tools Made of Prompts25m
  6. What Comes Back: Designing Tool Results30m
  7. Just-in-Time Training: Results That Instruct30m
  8. Errors That Teach30m
  9. Read the Manual: Self-Training on Demand25m
  10. The Table of Contents30m
  11. ✎Exercise: The Archive30m
  12. Skills: The Brilliant Employee's First Day40m
  13. ✎Exercise: Build a Skill40m
  14. The Agent Teaches Its Future Self30m
  15. Jumping-Off Points: Naming for the Searching Agent30m
  16. ✎Exercise: The Relay45m
  17. The One Percent: Errors That Detect30m
  18. Compaction: The Handoff to Yourself30m
  19. Abstraction: Briefing in Apples25m
  20. ✎Hands-on Tool Design & Experimentation
  21. ✎Build It and Try It: Exploring Agent Designs for Your Domain75m
  22. Searching by Meaning40m
  23. Retrieval Augmented Generation30m
  24. Correct Information About the Wrong Thing25m
  25. Grounding: Asking the World If You're Right25m
  26. The Questions a Tool Can Ask25m
  27. Memory: The Journal Between Conversations30m
  28. Discovering Tools: The Catalog, Not the Toolbox25m
  29. ✎Exercise: The Memory Lab45m
  30. ✎Rough Proof of Concept: Trying Your Agent for Real75m
  31. Agentic Research Design Considerations
  32. ✎How Will You Know? — Designing the Study You'll Run90m
  33. ✎Agentic Research Project Design Session
  34. Collaborative Discussion and Presentation of Research Project Designs

4Module 4 · Planning, Context & Multi-agent Systems

  1. Module 3 Overview
  2. Agent Planning: The Language of Planning25m
  3. Thinking in the Loop: Channels for Thought25m
  4. Executable Plans: When the Plan Leaves the Conversation30m
  5. Cognitive Load: The Two Loads30m
  6. Lifetimes: What the Conversation Should Carry35m
  7. Do We Need an Agent at All?30m
  8. Code at the Forks: Workflows with Minds Inside30m
  9. The Explorer30m
  10. The Scientist and the Designer35m
  11. The Planner–Executor30m
  12. The Actor–Critic30m
  13. Designing for Safety30m
  14. Multi-agent Systems: The Coordination of Conversations30m
  15. The Architecture of Coordination25m
  16. The Team: Role-Based Coordination30m
  17. ✎Hands-on Multi-agent Systems Experimentation
  18. Task Decomposition: Trees with Evidence35m
  19. The Task Is a Directory30m
  20. ✎The Skeleton Assembly: Building Paper Skeleton v190m
  21. ✎Agentic Research Project Refinement & Prototyping Session75m
  22. ✎Collaborative Discussion and Presentation of Research Project Designs90m

5Module 5 · Supervised Research & Project Development

  1. Module 4 Overview
  2. Independent and Collaborative Research Project Development
  3. Applied Agentic AI Experimentation and Prototyping
  4. Faculty Supervision and Research Consultation
  5. Iterative Design and Methodological Refinement
  6. Peer Feedback and Collaborative Project Workshops
  7. Research Progress Presentations and Scholarly Discussion

6Module 6 · Research Integration & Presentation

  1. Module 5 Overview
  2. Final Research Project Development Session
  3. Guided Mentorship and Individual Feedback
  4. Collaborative Problem-Solving and Research Exchange
  5. Preparation of Research Demonstrations and Presentations
  6. Research Project Presentations
  7. Reflective Discussion on Agentic AI Research Directions and Future Applications
  8. Course Synthesis and Research Planning

7Backup

  1. What is Agentic AI?25m
  2. ✎Hands-on Agent Planning & Prototyping
  3. Prompt Engineering for Agents30m
  4. ✎Hands-on Agent Cognitive Load Management Experimentation
  5. ✎Hands-on Human-in-the-Loop Agent Prototyping
  6. What Is Agentic AI? + Prompt Engineering Fundamentals for Agents
  7. ✎Hands-on Agent Skill Design
  8. ✎Hands-on Agent Rapid Prototyping & Experimentation
  9. ✎Hands-on Multi-agent Task Decomposition Experimentation

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