Who it is for
For the people who will work alongside AI without ever building it.
Applied AI For All was written for the student in any discipline and the professional in any field: the pharmacy student, the civil engineer, the marketing manager, the teacher. It assumes curiosity and nothing else. There is no code to write, no mathematics to recall, and no earlier course to have taken.
What it asks of you is attention. Every chapter puts a real case in front of you, a real organization and a real outcome, and asks you to judge it: what the system did, what it could not do, and what a careful person would decide. By the end you are not an engineer. You are someone who can use these systems well, question them well, and decide where they belong in your own work.
What you will be able to do
Five capabilities, earned in turn.
- Understand what is actually happeningHow machines learn from experience, what a model can and cannot see, and why a fluent answer is not the same as a correct one.
- Work with AI productivelyAsk better questions, frame a task so that the answer is useful, and recognize a poor answer when it arrives.
- Check before you trustVerify what AI produces with the V.A.L.I.D. discipline the program teaches, and keep a record of what was checked.
- Recognize where the line sitsBias, privacy, ownership, and responsibility: the questions that decide whether a use of AI is acceptable, not just possible.
- Decide where AI belongs in your fieldWhich parts of your work to hand over, which to keep, and how to stay capable while you work with intelligent systems.
The program in four parts
Understand, work with, think critically, build.
The four parts follow one arc, from understanding what the new intelligence is to building a working life with it. Fifteen chapters in all.
Part I · Chapters 1–4
Understanding the New Intelligence
What intelligence is, how machines came to learn from experience rather than from rules, and how they began to work with human language and expression.
Part II · Chapters 5–8
Working With Artificial Intelligence
The art of asking better questions; AI as a learning partner; AI and human creativity; and the AI-augmented professional, across every discipline.
Part III · Chapters 9–11
Thinking Critically With AI
How to check what AI tells you, weigh its claims against evidence, keep a record of what was verified, and move from assurance to responsible action.
Part IV · Chapters 12–15
Building the Future With AI
AI agents and the next wave; becoming an AI-native organization; the human advantage, what machines cannot replace; and becoming AI-augmented humans.
What you receive
A complete learning system, not a reading list.
Every component has a distinct job: explain the idea, show it in practice, test understanding, require judgment, and record your work.
Fifteen core chapters
The reading itself: written in plain language, with worked examples, figures, and clear learning objectives, reviewed line by line before it was called finished.
Quick checks
A low-stakes check in every chapter that shows whether the central idea has landed before you move on.
Guided Mastery assessments
Scenario-based judgment calls in every chapter: eighteen questions in rotating forms, so a retake never repeats itself, with unlimited attempts and feedback written to teach.
Verified case studies
A real organization and a real outcome in every chapter, fact-checked against primary sources and tied to the chapter's lesson.
The AI Portfolio
A running record of what you have worked through and decided across the program: evidence of capability, not just exposure.
On completion
A record of what you can do, and a portfolio of what you did.
When you have completed all fifteen chapters and their assessments, Metis Knowledge Lab issues your Completion Record for Applied AI For All.
Alongside it you keep the AI Portfolio you built chapter by chapter: the record of your own work across the program, in your own words and with your own judgments recorded.
Enrollment
One fee, the whole program.
Applied AI For All · direct enrollment
US $99
One-time · full program · no subscription
- All fifteen chapters across the four parts
- Every verified case study and quick check
- All fifteen Guided Mastery assessments, unlimited attempts
- Your AI Portfolio
- The Completion Record from Metis Knowledge Lab
Payment by card through our secure learning platform, in US dollars.
Grant program
A sponsor-funded grant program reduces the fee by up to half for deserving learners. If the full fee would keep you from enrolling, write to us before you do, and tell us a little about yourself.
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.
Questions
Before you enroll.
Is the program self-paced?
Yes. There is no cohort, no start date, and no deadline. Enrollment opens all four parts at once, and you work through the fifteen chapters in the order they are written, at whatever pace fits your week.
Do I need a technical background?
No. The program was written for learners from every field and assumes no coding, no mathematics beyond everyday arithmetic, and no earlier course in computing. Where a technical idea matters, the chapter explains it in plain language before it is used.
What do I need to take it?
A web browser and an internet connection. Nothing to install.
What do I receive when I finish?
A Completion Record issued by Metis Knowledge Lab for Applied AI For All, and the AI Portfolio you built across the fifteen chapters, which remains yours.
Is academic credit available?
Direct enrollment leads to the Completion Record. Academic credit is available only where the program is offered through a college or university that has licensed it; if you are a student, ask your institution whether it does.
How does the grant program work?
Sponsors fund a grant program that can reduce the fee by up to half for deserving learners. Write to info@metisknowledgelab.com before you enroll, tell us about yourself and your circumstances, and we will reply with what we can do.
For institutions
Teaching Applied AI For All at your institution?
The institutional edition adds the hands-on labs and lab tools, faculty materials, the Project & Research Framing library, and a credit structure, and is offered as a four-credit course or as a value-added course under your own name.