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Curriculum

A clear path to
AI fluency for
your entire team.

Practical, role-based learning that builds real skills, from foundational knowledge to advanced use cases, so your people can work smarter, faster, and with confidence.

  1. AI Fundamentals Build a solid foundation
  2. Productivity & Everyday AI Work smarter, save time
  3. Advanced Use Cases Solve real business problems
  4. Role-Based Learning Tailored to your function

IndividualsTeamsEntire Organization

The 7 Foundations Modules

Build a common language and core skills for AI success. Seven modules, 3 hours 40 minutes in all, then a 40-minute exam.

Module 1, Introduction: Why AI, and How We Work Here
Module 2, How to Write a Good Prompt
Module 3, The Claude Feature Set
Module 4, Agents: When, Why, and What Types
Module 5, Interoperable Outputs
Module 6, The AI Tool Landscape
Module 7, Getting the Right Outcome at the Lowest Cost

Security Essentials

Security fundamentals for everyone who is not in security. Six modules, about 45 minutes each, and one real attack followed from a reused password to a payment made to the wrong bank.

How Attacks Actually Happen

Why most attacks sign in rather than break in, and why an ordinary employee is the target.

Your Account Is the Way In

A password manager, the strong kinds of sign-in check, and the prompt you did not ask for.

Phishing, Payment Fraud and the Voice on the Phone

The one habit that stops a fraudulent payment, however convincing the request.

Handling Data Without Leaking It

Four plain levels, and sharing that stops working when its purpose ends.

Devices, Software and the Apps You Connect

Updates, the permission screen before you click allow, and the lost laptop.

When Something Goes Wrong

Recognize an incident while it is small, and report it in the first ten minutes.

Teaching with AI

For university and college faculty, built on Foundations. Eight modules of about 75 minutes each and a department rollout module, following two courses at one university from the first syllabus statement to the course AI plan.

See Teaching with AI

The Professor’s Desk

The course Project and its never-list, preparation, feedback that gets read, accessible formats.

Designing the Course with AI in the Room

The per-assignment decision, the syllabus statement and one assignment rewritten at three levels.

Assessment and Integrity

Why a detector score is never evidence, the two lanes of assessment, and what an integrity case rests on.

Teaching Students to Use AI

AI literacy as a graded outcome: a two-week unit built from the course’s own material.

AI in the Discipline

What the profession your students are entering now uses, so the course decides what it covers and drops.

Agents for the Course

One scoped course agent with its approval rules, its off-limits list and its log.

Policy, Privacy, Equity and Ethics

The one-page classroom AI charter a department can adopt.

Capstone: the Course AI Plan

The plan for one real course, presented, and the certificate.

The Department Rollout

For chairs: a term plan, champions, the charter adopted, the day-30 check and four measures.