Questions
What the courses cover, who they are for, how access works, and what happens if it turns out not to suit you.
- Do I need any technical background?
- No. That is the entire premise. There is no code, no setup, and nothing to install. If you can use a web browser and write an email, you have everything you need.
- Which AI tool do the courses teach?
- The ideas apply to all the mainstream chat tools — ChatGPT, Claude, Gemini, Copilot. They work the same way underneath, so the courses teach the underlying model and the habits, not one product’s menus. Examples name specific tools where it matters, and are dated so you can tell when something has moved on.
- Is it video or written?
- Mostly written — each lesson is about a ten-minute read, and some carry a video alongside the text. Text is faster to skim, easy to search, and you can copy the prompts straight out of it, which is harder from a video.
- How long do I have access?
- Permanently. It is a one-time payment per course, not a subscription, and there is nothing to cancel. Lessons added to a course later are included.
- Do I get a certificate?
- Yes. Pass every lesson’s quiz and the course certificate is yours, carrying your name, the course and the date you finished. It lives in your account, and one click adds it to the Licences & Certifications section of a LinkedIn profile. It is not an accredited qualification, and we do not describe it as one.
- Can I see something before I pay?
- Yes. A full lesson is free to read — a real lesson from the course, not a preview that stops at the interesting part. Pick a course and look for the lesson marked free to read.
- What does it cost?
- You pay per course, once. Nothing is bundled, and there is no subscription. See the prices.
- Can I buy this for my team?
- Yes. Create a team workspace, invite whoever you like at no cost, and your workspace is charged one seat the moment a person starts a course — once per person per course, and never for somebody who was invited but never began. How team billing works.
- What if it is not for me?
- Email within 14 days and we will refund you in full. You do not have to explain why. See the refund policy.
- Will it go out of date?
- Parts of it will — this field moves quickly. Anything tied to a specific tool carries the date it was checked, so you can judge for yourself. The core of the courses is about how these systems behave, which has been stable and is likely to stay that way.
AI Foundations
See the course- Do I need to have used AI before?
- No. The first lesson assumes you have never opened one of these tools, and the free lesson is that first lesson — read it and see.
- Which tool does it teach?
- None of them specifically, and that is deliberate. The course teaches how these tools behave and the habits that follow, which applies to ChatGPT, Claude, Gemini and Copilot alike. Anything tied to one product's menus would be out of date within months; where a lesson does mention a specific tool, it carries the date it was checked.
- Should I take this one first?
- Yes. The other courses assume the mental model this one builds. You can take them in any order, but this is the one that makes the others make sense.
- How long does it take?
- Each lesson is about ten minutes and you can stop between any two of them. Nothing expires, and your progress is saved as you go.
AI at Work
See the course- Is this just prompt templates?
- No. Templates stop working the moment your task differs from the example, and they teach you nothing about why. This is about the shape of a task and what that implies for how you ask — the templates you end up with are the ones you wrote for your own work.
- Will it still be accurate in a year?
- It is written to be. The lessons are organised by task rather than by product feature, which is what dates fastest. Where something is tied to a specific tool, it says so and carries the date it was checked.
- Do I need AI Foundations first?
- It is strongly recommended rather than enforced. This course assumes you already know why a confident answer can be wrong; if that is new to you, start with Foundations.
Using AI Responsibly
See the course- Does this tell me what the law says?
- No, and deliberately so. Obligations differ by country, industry and employer, and a confident wrong sentence about the law does real damage. The course teaches how to think about the question and points you at the person in your organisation whose job it is to answer it.
- Is this a compliance course?
- No. There is no policy to sign and nothing here satisfies a training requirement on its own. It is the practical judgement that a policy assumes you already have.
- Is it useful if my workplace has no AI policy yet?
- That is the case it is written for. Most people are making these decisions without guidance, and the course is about deciding well in exactly that situation — including how to raise it.
- Is it worth buying for a whole team?
- This is the one most teams take together, because the value is in everybody drawing the same line rather than each person guessing. An admin can allocate it to named people from the Team page.
AI Advanced
See the course- How much code is there?
- Enough that you should be comfortable reading it. The activities build real things — an eval harness, a retrieval pipeline, a tool server, an agent with tracing — and the code is provided to read and adapt rather than typed from scratch.
- Which language and which provider?
- Examples are in TypeScript and Python, and the concepts are provider-neutral. One module deals specifically with designing against lock-in, because the decisions that trap you are architectural rather than a matter of which API you called first.
- Will the specifics date quickly?
- Some will, and the course is structured so that they are contained. Model names, prices and interfaces live in one clearly-marked lesson per module rather than being sprinkled through; the architectural material — evaluation, retrieval, tool design, security — has been stable and is where most of the course sits.
- Do I need AI at Work first?
- Recommended rather than enforced. Advanced assumes you already know why these systems fail and who is accountable when they do; it teaches you to build around that rather than re-establishing it.