Questions & common concerns
Straight answers on prerequisites, cost, outcomes, formats and policies. Still unsure? Talk to an advisor.
Do I need a machine-learning background?
No. You need to be comfortable writing basic code in some language. The two-week foundations sprint brings everyone up to speed on Python, the maths that matters and the tooling before your track starts.
I've never used a GPU. Is that a problem?
Not at all — that's exactly what the browser lab is for. Every course opens a one-click workspace with a GPU, the datasets and every framework already set up. You learn to train and fine-tune models by doing it, without ever touching drivers, CUDA versions or a cloud console.
What if I fall behind?
Live sessions are recorded, so you can catch up on your own time, and mentor office hours are there to unblock you. If life gets in the way, you can pause and rejoin a later cohort, or switch to the self-paced format for a stretch. Talk to your mentor early — we would much rather adjust the plan than lose you.
Is a certificate from CapabilityNext worth anything?
The certificate itself is a completion record. What actually moves an application is the portfolio behind it: three to five documented projects built on real requirements, plus a capstone you can demo and a mentor who can speak to your work. We designed the programme so the proof is the work, not the paper.
Is this recognised by employers?
Each programme is built around a live hiring need and the skills that hiring teams for that role screen for. We run interview preparation tuned to AI roles and make introductions where we can. We can't speak for any individual employer's HR policy, but the portfolio and capstone are designed to be evaluated the way a technical interview evaluates a candidate.
Do you guarantee a job?
No, and be cautious of anyone who does — the final decision is always the employer's after their interviews. What we commit to is that on completion there is a real role your programme maps to, your portfolio is ready, and you can start applying immediately, with our interview prep and introductions behind you.
How much time should I budget each week?
Around 8–12 hours: live or recorded sessions plus project work. The live-online and hybrid formats run in the evenings and on weekends so you can keep a job. Self-paced is entirely on your schedule.
Which delivery format should I pick?
Self-paced if you're disciplined and want maximum flexibility or the lowest price. Live online if you want the full mentored cohort experience remotely — most students choose this. Hybrid if you work full-time and can only commit to weekends. In-person if you're near our centre and want a classroom. You can usually switch between modules.
What does it cost?
Fees vary by track and delivery format — self-paced is the most affordable, in-person the most involved. Exact figures, instalment plans and any early-bird pricing are confirmed on a short advisor call. [Publish concrete numbers here once finalised.]
When does the next cohort start?
New cohorts start regularly through the year. [Add the next two or three start dates here.] Self-paced enrolment is open continuously.
What is your refund and deferral policy?
There is a cooling-off window after enrolment during which you can withdraw for a full refund, and you can defer to a later cohort once at no cost. Full terms are on the refund policy page. [Confirm the exact window and conditions with the finalised policy.]
What equipment do I need?
Any device with a modern browser and a stable internet connection — a phone or tablet works for following along, though a laptop or desktop is more comfortable for project work. All the compute runs on our servers.
Can I talk to someone before I enrol?
Yes. Book a 20-minute advisor call from the contact page. We'll look at your background and goals and recommend a track, a format and a starting point — no obligation.