There’s a lot of money being charged right now for AI courses. Anthropic teaches the same material for free, and they’re the people who built Claude.
It’s called Claude Academy. Every course is free, you sign up with an email, and you get a certificate at the end of each one you finish.
This is the three I’d do if you’re not technical, the order I’d do them in, and how to get them onto your LinkedIn so they actually count for something.
You don’t need any coding background. These three are the non-technical ones.
Before you start
Where it lives: academy.claude.com
What it costs: nothing. Email address to enrol.
How long: the three below run to roughly a working day in total, and you can do them in pieces.
What you get: a certificate per course, which is a real link you can put on your profile.
The order, and why
The order matters more than people expect. The first one teaches you the tool, the second teaches you how to work with it, the third teaches you where it falls over. Doing the third one first would just be discouraging.
Course 1: Claude 101
Do this one first. Start Claude 101
The starting point. It goes from your first conversation through to prompting properly, then on to projects, artifacts and skills, and connecting Claude to your own tools and files.
If you’ve been typing questions in and hoping, this is the one that fixes it.
Why it’s first. Everything else assumes you can already get a decent answer out of Claude. This is the course that gets you there.
You’ll know you got value when you catch yourself rewriting a prompt before you send it, instead of sending it and being disappointed.
Course 2: AI Fluency: Framework and Foundations
Do this one second. Start AI Fluency: Framework and Foundations
The flagship non-technical course. It’s about 4 hours across 14 lessons, and it’s built around a framework for working with AI rather than just using it: delegation, description, discernment and diligence.
This is the one for anyone who has to decide how AI gets used, on a team or in a business, not just for themselves.
Why it’s second. The first course teaches you to operate the thing. This one teaches you to judge when to hand something over and when not to, which is the part that separates people who get real value from people who just use it as a search bar.
You’ll know you got value when you turn down a job you would previously have handed to AI, for a reason you can explain out loud.
Course 3: AI Capabilities and Limitations
Do this one last, and don’t skip it. Start AI Capabilities and Limitations
Thirteen lessons on what these models genuinely can and can’t do. Next-token prediction, what knowledge actually sits inside a model, working memory, steerability, and context limits.
This is the one nobody picks and the one that changes how you talk about AI.
Why it’s last. It’s the least immediately useful and the most valuable over time. It’s also the one that stops you repeating things you’ve read online that aren’t true.
You’ll know you got value when someone says something confidently wrong about AI in a meeting and you know exactly why it’s wrong.
Getting them onto LinkedIn
A certificate sitting in your inbox does nothing. Two minutes of work puts it where people look.
- Go to your LinkedIn profile.
- Click Add profile section.
- Open Recommended, then Add licenses and certifications.
- Name: the course title exactly as it appears on the certificate.
- Issuing organisation: Anthropic.
- Issue date: the month you finished.
- Credential URL: paste the certificate link.
- Save, and repeat for each one.
The bit most people get wrong. Don’t leave the credential URL blank. A certification with no link reads as a claim. A certification with a link reads as a fact, and it takes ten seconds to paste in.
While you’re there. Add the specific skills to your Skills section as well, not just the course names. Prompt engineering, AI fluency, and whatever else the course actually covered. Those are the words that get searched.
You’ll know it worked when your profile shows a certifications section with a live link on each one that opens the real certificate.
If someone asks about it in an interview
Don’t describe the course. Describe something you did because of it.
The answer that lands is a specific job you changed the way you do, with a result attached. “I built a skill that does our weekly reporting, it takes about ten minutes now instead of two hours.” That beats naming three certificates every time.
So do the courses, but also do one thing with them. The thing is the proof, the certificate just gets you the question.
The final check
- Enrolled at academy.claude.com
- Claude 101 finished
- AI Fluency: Framework and Foundations finished
- AI Capabilities and Limitations finished
- All three on LinkedIn with live credential links
- One real thing built that I can talk about
If something looks different
The course names have changed. The catalogue gets added to regularly. Look for the closest match by description rather than assuming a course is gone.
I can’t find the certificate link. It’s issued on completion and usually emailed as well. Check the platform’s own dashboard for your completions.
There are way more courses than three. There are, including a full developer track. These three are the non-technical starting point, not the whole catalogue. Once they’re done, go and browse.