AI programmes range from weekend workshops to multi-year degrees. These questions help you compare them on what actually matters.
1. Does the curriculum go beyond tools?
Tools change every year. Look for solid foundations (statistics, machine learning, deep learning) alongside current topics such as generative AI and MLOps.
2. How much is hands-on?
Ask how many projects you will build, and whether they use real datasets. A portfolio is what employers look at.
3. Who teaches?
Look for faculty with both academic grounding and industry experience.
4. Is the qualification recognised?
Check who awards the certificate or degree, and whether that recognition matters in the country where you want to work.
5. What career support is offered?
CV reviews, interview practice, employer projects and alumni networks make a real difference.
6. Does the format fit your life?
Full-time, part-time, online or blended: choose a format you can actually sustain.
7. What does it really cost?
Compare total fees, payment plans and refund policies, and read the terms before you pay.
Kamber School publishes its fees in AED, along with its full refund and placement policies, on this website.