What people say
about studying with us

I had tried a couple of free online courses before this and got stuck at the same point every time — when it came to actually writing something from scratch. The project format here helped with that. Each week had a defined thing to build, which kept me moving rather than going back over the same videos. The mentor feedback was the biggest difference; one comment on my third submission told me something about how I was structuring my code that I am still thinking about.

May 2025

The workshop track was well paced for someone at my level. I came in knowing Python reasonably well but had only read about machine learning in articles. The first few weeks moved quickly, which I appreciated — it did not spend a lot of time on material I already had. The portfolio project was harder than I expected, which is probably the right kind of hard. Feedback from the instructor was direct and useful. The one thing I would change is having a bit more variety in the dataset types we worked with.

May 2025

I have taken technical courses at several places and the common issue is that they stop at the modelling stage. This programme goes further — I worked on a capstone that involved building a data pipeline, training a model against it and then deploying a version of the application. The mentor check-ins were structured without being intrusive. Having a peer group going through the same sixteen weeks meant I could ask questions without feeling like I was bothering staff.

April 2025

A good starting point. I liked that the course was honest about what it does and does not cover — no exaggerated promises about what you will be able to do afterwards. I came in with zero coding experience and finished with a small working project and a much better idea of what Python actually is. The written guides were useful because I could read them at whatever pace I needed rather than trying to pause a video at the right moment.

May 2025

I did the Workshop Track after completing the Basics course. The jump in difficulty was noticeable, which is what I was hoping for. The code reviews pushed me to think more carefully about how I was structuring things, not just whether they ran. I finished the portfolio project in week ten and spent weeks eleven and twelve revising it based on feedback — that revision cycle was probably the most valuable part of the whole track.

April 2025

I am a backend developer and was looking for a structured way to move into AI work. The Applied AI Engineering programme covered the things I wanted — pipelines, deployment, integration — rather than stopping at model training like a lot of courses do. The sixteen weeks is a serious commitment, and I will not pretend the capstone project was straightforward. But it resulted in something I can actually show to other engineers and talk through.

May 2025