AI Fluency Foundations

True AI mastery extends beyond prompting strategies and agent workflows. This course will help you build the high-level judgment needed to deploy AI safely and effectively.

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Course Overview

Most AI training stops at prompting and tooling, which leaves you fast at producing output and slow at judging whether it's any good. This course builds both layers — a working foundation in how AI actually operates, and the judgement to decide what to hand it, predict how it will fail, and own what it produces.

Course Syllabus

  • Section lectures:

    1. Why take this course

    2. Meet the instructors

  • Section lectures:

    1. AI literacy vs AI fluency

    2. The belief behaviour gap

    3. Four dimensions of AI fluency

  • Section lectures:

    1. Beyond the AI hype

    2. AI tools

    3. Data and AI

    4. Data types and AI methods

    5. Comparing structured vs unstructured data

    6. Tasks and AI

    7. Generative AI and tasks

    8. AI and models

    9. Diving deeper into generative AI

  • Section lectures:

    1. Mapping AIs strengths

    2. Understanding AIs failure modes

    3. The hidden cost of checking

    4. The delegation dial

Instructors

Stephen Tracy

Gary Ang, PhD

Course Pricing

AI Fluency Foundations
US$99.00
One time

Full access to our AI Fluency Foundations course. You'll learn AI fundamentals and develop strong judgment so you can use and build with AI more efficiently and safely.

✓ Unlimited lifetime access
✓ Access all course on-demand videos
✓ Downloadable templates and resources

What’s included?

Lifetime access to on-demand videos

Course resources & templates

Case Studies & Activities

Discounted instructor coaching

What you’ll learn?

Learn the judgement and habits needed to make you effective with AI, regardless of the tool or model. You’ll leave with a field guide, checklists, and templates you can use on your own work straight away.

  • Learn why knowing how AI works isn’t the same as working well with it, and why feeling confident about your AI use says little about how good you actually are.

  • Split real tasks into the parts AI should take on and the parts you should keep, and notice when AI is quietly setting the criteria for you.

  • Learn how to name the specific ways AI breaks down in your kind of work, from made-up sources to dropped instructions, so you know where to look before you start reviewing.

  • Adjust how involved you are as the stakes change, and set red lines for the decisions that should never be left to AI.

  • Review AI output in four separate passes (facts, logic, substance, and gaps) without flagging so much that people stop trusting your reviews.

  • Explain what AI did and what you checked, keep your own voice and level of certainty in the final draft, and raise mistakes quickly when they slip through.