AI Engineering Course in Doha

Batches are announced in AST (GMT+3) as well as IST. Because our trainers are based in India, the natural overlap is early morning or late evening AST (GMT+3), which works well alongside a full-time job. If none of the running batches fit, a 1-on-1 track is built entirely around your calendar.

Fees are quoted in QAR (﷼) equivalent on request, and international learners can pay by card or bank transfer. WhatsApp +91 9180377502 for the current AI Engineering pricing, the next batch date in AST (GMT+3), and the 1-on-1 option.

Every session is live and interactive — live coding, screen sharing and real-time doubt-clearing with a working AI Engineering engineer, not a recorded playlist. Recordings are provided afterwards so you can revise or catch up if a session lands awkwardly in AST (GMT+3).

In Doha, Ad Dawhah, typical market ranges for these roles are around QAR 135,000 – QAR 195,000 at entry level, QAR 225,000 – QAR 320,000 at mid level, and QAR 370,000 – QAR 510,000 for senior and lead engineers. Actual offers depend on the employer, your experience and how well you handle the design and coding rounds — which is exactly what the 8 projects and interview prep in this course target.

Teams hiring these skills across Doha, Ad Dawhah include Ooredoo, QNB, Qatar Airways, QatarEnergy, Vodafone Qatar, Commercial Bank, plus a long tail of scale-ups and consultancies. The course is built around what those interviews actually test: Deep Learning, PyTorch, LLMs, real production practice, and 8 portfolio projects you can talk through in detail.

To be straightforward: our placement network and referral relationships are strongest in India, so we do not promise job placement in Doha, Ad Dawhah. What international learners get is the part that travels — CV and LinkedIn review against Doha job descriptions, mock technical interviews, portfolio projects, and coaching on how these roles are interviewed at Ooredoo, QNB, Qatar Airways, QatarEnergy, Vodafone Qatar and similar employers.

You receive a course completion certificate you can add to LinkedIn and your CV. Like any training certificate, it supports your application rather than replacing employer screening — in Doha, Ad Dawhah what carries the interview is your project portfolio and how you perform in the technical rounds, which is what the live sessions are built to prepare you for.

16 weeks, with 120+ live hours and 8 hands-on projects. Prerequisites: Python & basic ML (or our Data Science course), Comfort with maths. If you are returning to tech or switching stack, book a free consultation and we'll tell you honestly whether to start here or a step earlier.

Cost and access to practitioners. A live, mentor-led AI Engineering course from Prakalpana costs a fraction of an equivalent bootcamp in Doha, Ad Dawhah, and you learn from engineers who work with Deep Learning, PyTorch, LLMs in production every day. You keep your job, join live from West Bay, Lusail, Education City, Msheireb or anywhere else, and get an optional 1-on-1 track rather than a fixed classroom schedule.