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AI

The L&D Professional's Guide to AI Fluency

Sanam Madhav
Overview
Curriculum
  • 8 Sections
  • 53 Lessons
  • 2h 30m Duration
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Introduction
2 Lessons
  1. Welcome
  2. Course details
Module 1: What Is AI Fluency and Why It Matters for L&D
6 Lessons
  1. Introduction
    Preview
  2. What is AI Fluency
  3. Why This Matters Specifically for L&D
    Preview
  4. The AI Fluency Spectrum
  5. AI as a Collaborator
  6. Summary
Module 2: How AI Actually Works
8 Lessons
  1. Introduction
  2. What Is a Large Language Model
  3. How AI Generates a Response
  4. Why AI Hallucinates (And What That Means For Your Work)
  5. The Confidence Problem
  6. Inputs and Outputs: The Garbage In, Garbage Out Principle
  7. A Mental Model Worth Keeping
  8. Summary
Module 3: The Art and Science of Prompting
7 Lessons
  1. Introduction
  2. Why Prompting is a Professional Skill
  3. The Anatomy of a Prompt
  4. Prompting as a Dialogue, Not a Vending Machine
  5. Prompting for Specific L&D Outputs
  6. Common Prompting Mistakes (and How to Fix Them)
  7. Summary
Module 4: Working with AI-generated Content
8 Lessons
  1. Introduction
  2. A Practical Quality Review Framework
  3. Fact-checking AI Content
  4. Recognising and Managing Bias in AI Content
  5. Ethical use of AI
  6. Developing your Ethical AI Use Position
  7. The AI-Assist Spectrum
  8. Summary
Module 5: The AI Tools Landscape for Learning Professionals
7 Lessons
  1. Introduction
  2. The Tools Categories that Matter for L&D
  3. How to Evaluate Any AI Tool - A Decision Framework
  4. The Data Privacy Question in More Depth
  5. Building Your Personal AI Toolkit
  6. Staying Current Without Drowning
  7. Summary
Module 6: AI, Productivity and Your Workflow
8 Lessons
  1. Introduction
  2. Auditing your Workflow
  3. High ROI AI Applications for L&D Professionals
  4. Where AI Doesn't Earn it's Place
  5. AI for Freelancers: Pricing, Scope and Client Conversations
  6. AI in a Team: Consistency, Governance, and Shared Resources
  7. The Human Side: Identity, Value and Professional Confidence
  8. Summary
Module 7: The Future-Proof L&D Professional
7 Lessons
  1. Introduction
  2. What AI Cannot (Yet) Replace in Learning Design
  3. The Evolving Role: From Content Creator to Learning Architect
  4. Building a Personal AI Learning Practice
  5. Navigating Uncertainty: The Professional Skill of Learning in Ambiguous Conditions
  6. Your AI Fluency Commitment and Action Plan
  7. Course Summary

7 Modules | Lifetime Access

AI fluency is no longer optional for learning professionals. It's the skill that separates those shaping the future of L&D from those scrambling to catch up.

Designed specifically for instructional designers, learning experience designers, L&D consultants, and learning specialists, this course gives you the understanding, practical skills, and professional judgment to work with AI confidently and critically. Not as a passive user. As a fluent practitioner.

AI fluency means knowing how these systems work, why they fail, how to get the best out of them, and when not to use them at all. It means you can evaluate any new tool without being swept up in hype, have informed conversations with clients and stakeholders, and make AI a genuine multiplier of your expertise.

The concepts and frameworks in this course stay relevant as the tools keep changing. The fluency you build here won't expire.

 

What You'll Be Able to Do

  • Explain what AI fluency means and assess where you sit on the spectrum right now.
  • Describe how large language models work and why they make confident mistakes.
  • Write effective, structured prompts for a wide range of L&D tasks.
  • Critically evaluate AI-generated content before it reaches your learners.
  • Assess any AI tool using a practical decision framework.
  • Build AI into your workflow in ways that are sustainable and useful.
  • Articulate a confident personal position on AI ethics and disclosure.

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