Engineer your future inAI and softwareAI and software

Programming and full-stack development, artificial intelligence and generative AI, data science and analytics, digital marketing, cyber security, and cloud and DevOps. Every programme has its full module list, tools and project brief published on its course page — open one before you speak to anyone.

A counselling conversation about your background and target role, a free demo class in the batch you are considering, then enrolment and a seat in the next intake. There is no entrance exam for most programmes.

Fees vary by programme, duration and mode, so the current schedule comes from the admissions desk rather than a page that may be months out of date. Ask for it in writing along with what is included — we will give you both without a follow-up call.

Morning, evening and weekend batches run in parallel so students and working professionals can both attend. Pick the slot you can hold to every week — attendance, not intent, is what decides how a course goes.

Yes: 45-day, 6-week, 4-month and 6-month industrial training in the formats universities ask for, plus internship programmes. They are run as real project work with a reviewer, not as an attendance exercise ending in a signed letter.

No, and be careful with anyone who does. We control the training, the portfolio, the interview practice and the referrals; we do not control an employer's hiring decision, so we do not promise it. What we commit to is real support until you land a role.

Start from the job you want rather than the subject you liked at college, then read the roles listed at the bottom of each course page. If two courses still look equally plausible, book a counselling slot — we would rather spend twenty minutes on that than have you a month into the wrong programme.

Modules are revised each intake against what hiring partners tell us candidates were asked to do in interviews. When a tool, framework or model that a subject depends on changes, that module changes in the same intake rather than at the next printing of the notes.

For the foundation and after-12th tracks, no — they assume you are starting from the beginning. Specialist tracks such as agentic AI or cloud engineering do assume working fundamentals, and the counselling desk will tell you plainly if a bridging course should come first.

Yes for the applied tracks — generative AI, prompt engineering, AI tools and AI-powered marketing are built for people who need to use these systems well. Research-flavoured machine learning does lean on maths, and we will say so before you enrol rather than after.