Question 1

What is AI Folks?

Accepted Answer

A learning community and online bootcamp for people who want to build AI systems rather than just use them. We publish free resources and run a structured program in machine learning, data science and AI engineering.

Question 2

How does the program work?

Accepted Answer

Join the waitlist first. Once you are accepted you pick a track: full-time runs 16 weeks, part-time runs 28 weeks. Both cover the same five modules with live mentorship, assignments and project reviews.

Question 3

What is the content actually like?

Accepted Answer

Practical. You will spend far more time building than watching. Every module ends in an assignment that gets reviewed, and every specialisation ends in a project you can put in front of a hiring manager.

Question 4

Do I need a degree in computer science?

Accepted Answer

No. You need to be comfortable with basic maths and willing to learn to code. Module 1 starts at core Python, so a complete beginner has a path in.

Question 5

What does it cost?

Accepted Answer

Join the waitlist for current pricing. We deliberately sit far below the $5,000–$10,000 bootcamps that mostly teach prompting, and there is a free tier so you can start before you pay anything.

Question 6

Is there anything free?

Accepted Answer

Yes. The curriculum, the blog, the book list and the weekly AI newsletter are open to everyone. The paid membership adds mentorship, reviewed assignments and the private community.

Question 7

Who is this for?

Accepted Answer

Students, working engineers switching into AI, analysts moving up the stack, and career changers — including people returning to work after a break. The common thread is wanting to build, not just to be certified.

Question 8

Will AI take my job?

Accepted Answer

If you assume you already know enough and stop learning, something like that is a real risk. If you keep building with these tools, you become the person a team hires to run them.

Question 9

Do I get a certificate?

Accepted Answer

Yes, on completion of the program and its projects. The portfolio you leave with matters considerably more in interviews, which is why we weight the projects the way we do.

Frequently asked questions

Program

Cost

Outcomes

Still deciding? Start with the first module.