Description

• Welcome and Course Foundations
  • Lesson 0.1 – From Prompts to Agents: What’s Different Now
  • Lesson 0.2 – Everyday Agent Examples: What They Actually Do
• Module 1 – Agent Fundamentals (Conceptual)
  • Lesson 1.1 – What Is an AI Agent? (In Plain Language)
  • Lesson 1.2 – When Do You Actually Need an Agent (Instead of Just Chat)?
  • Lesson 1.3 – Inside an Agent: Goal, Brain, Tools, Memory, Loop
  • Lesson 1.4 – Recap: Your First Agent Blueprint (Module 1 Wrap‑Up)
• Module 2 – Design Your Foundation Agent (On Paper)
  • Lesson 2.1 – Choose a Foundation Agent Pattern
  • Lesson 2.2 – Define Goal, Inputs, Outputs, and Success Criteria
  • Lesson 2.3 – Write the System Prompt and Guardrails
  • Lesson 2.4 – Design Test Scenarios and Edge Cases
• Module 3 – Build It in a No‑Code Agent Builder
  • Lesson 3.1 – Tour of the No‑Code Agent Builder
  • Lesson 3.2 – Implement Your Foundation Agent Template
  • Lesson 3.3 – Connect Your Knowledge Sources
  • Lesson 3.4 – First End‑to‑End Runs with Your Scenarios
• Module 4 – Debug, Improve, and Safeguard
  • Lesson 4.1 – Common Agent Failure Modes for Non Coders
  • Lesson 4.2 – Fixing Behavior with Better Prompts and Tool Descriptions
  • Lesson 4.3 – Adding Guardrails, Limits, and “Ask Before Doing” Rules
• Module 5 – Use Your Agent in Real Life
  • Lesson 5.1 – Where and How to Deploy Your Agent
  • Lesson 5.2 – Run a 1‑Week Pilot on a Real Task
  • Lesson 5.3 – Reflect and Generalize: From One Agent to Many
  • Lesson 5.4 – Document and Share Your Agent