Who it is for
The foundation to lay before the specialization.
AI Foundations For All is for the first-year student before a discipline pathway; for the professional whose employer has just switched on an AI assistant; for the learner about to start an AI certification who wants the judgment to go with the skills; and for anyone who has used these systems and wondered what is actually going on inside them.
It does not teach you to build AI, and it does not survey a hundred tools. It teaches five habits that hold no matter which system you use: how to see what a system is and is not doing, how to frame work for it, how to check what it gives you, how to keep your own capability while you work with it, and how to put it inside a professional workflow without losing sight of who is responsible.
What you will be able to do
Five habits, one per module.
- See AI clearlyKnow what a model learned from, what it can and cannot see, and which part of an assistant did what, so that a fluent answer no longer passes for a correct one.
- Frame the workSay what you are trying to accomplish, who it is for, what it needs to see, and what a useful answer looks like, and read a first draft as a draft.
- Verify before you trustSeparate evidence from inference, check the claims a decision depends on, ask again without mistaking it for checking, and decide on purpose.
- Partner without losing capabilityKnow what to keep doing yourself, ask for help that hands the work back, and check authority, evidence, reversibility, and accountability before you delegate.
- Design the workflowMap the work before adding AI to it, match controls to consequences, build checkpoints that mean something, and keep an owner for every decision.
The program
Five modules, one continuous story.
One person runs through all five modules: Nora Bell, a reference librarian, in her first months with the library's new AI assistant. Each chapter meets a problem in her work, states the mechanism plainly, develops one analogy to its breaking point, and leaves you with a habit.
Understanding AI Systems
See AI Clearly
It has learned the shape of things. What a model learned from, what it can see, what a performance proves, and why the assistant is not the model.
Working Effectively With AI
Frame the Work
A request is not a goal. Who is going to read this, what the system can only know if you show it, the shape of a useful answer, and why a first draft is a draft.
Verification and Judgment
Verify Before You Trust
Confident is not the same as correct. Not every sentence is a fact, what it had no way of knowing, why asking again is not checking, and how to decide rather than wait for a verdict.
Human Capability and Partnership
Partner Without Losing Capability
A finished task is not a finished job. Help that hands the work back, trading drafts without trading the decision, the doors that do not open to delegation, and why a role is not a one-time handoff.
AI in Professional Systems
Design the Workflow. Keep Responsibility Visible.
From an AI task to a professional system: map the workflow, define the AI's role and boundaries, match controls to consequences, build real checkpoints, make ownership explicit, consider everyone the system affects, and monitor what happens after deployment.
How it reads
Written to be read, not decoded.
Plain language is as much a part of the teaching as the ideas are.
Every module is written to the standard a good newspaper holds itself to: short sentences, one idea at a time, every example decoded before it is used. A welcome opens the program and a closing file gathers the five habits together at the end.
The modules are interactive: a reading panel for type size and theme, a contents menu, figures that enlarge, reflection prompts, a quick check at the end of each module, and notes you can keep on your own device and download when you finish.
The program ends with one cumulative Foundation Assessment across all five modules, eighteen scenarios in three legs, taken timed or untimed, and a Completion Record from Metis Knowledge Lab when you pass.
Enrollment
One fee, the whole program.
AI Foundations For All · direct enrollment
US $49
One-time · full program · no subscription
- All five modules, the welcome, and the closing file
- Every quick check, figure, and reflection prompt
- The Foundation Assessment, timed or untimed
- The Completion Record from Metis Knowledge Lab
Payment by card through our secure learning platform, in US dollars.
Start when you like
There is no cohort and no start date. Enrollment opens the whole program at once, and you work through it at your own pace, on any device.
Then go further
The five habits carry into whatever comes next: a discipline pathway, a certification, or professional work. If you want the fuller, field-by-field program, Applied AI For All takes the same ideas across fifteen chapters.
Questions
Before you enroll.
Is the program self-paced?
Yes. There is no cohort, no start date, and no deadline. Enrollment opens all five modules at once, and the modules are meant to be taken in order, since one story runs through them.
How long does it take?
Each module is designed to be read in one or two sittings, with its quick check at the end. The whole program takes a few evenings, not a semester, and the final assessment can be taken timed or untimed.
Do I need a technical background?
No. The program assumes no coding, no mathematics, and no earlier course. Where a technical idea matters, it is explained in plain language, with one analogy developed until it breaks, before it is used.
What do I receive when I finish?
A Completion Record issued by Metis Knowledge Lab for AI Foundations For All, once you have passed the Foundation Assessment, together with the notes you kept along the way.
How does it relate to Applied AI For All?
AI Foundations For All is the compact foundation: five habits that hold whichever system you use. Applied AI For All is the fuller program: fifteen chapters that take those ideas into your own field, with hands-on labs and verified cases in every chapter. Take the foundation first if you want the shorter path; take Applied AI For All if you want the whole journey.
For institutions
Teaching AI Foundations For All at your institution?
The program is packaged to the SCORM standard for your own learning platform, or delivered through ours, with completion recorded for every learner and an implementation guide for your platform team.