Frequently asked questions
Everything people ask before enrolling
If your question is not here, ask admissions directly — we would rather have a slightly awkward conversation now than have you enrol into the wrong track.
Program & eligibility
Manual and automation test engineers, SDETs, QA leads and architects, software developers, DevOps engineers, engineering managers moving into AI-first delivery, and 2025–2026 graduates via the dedicated Launchpad track.
No. This is an AI engineering program, not a data science program. You will not train models from scratch. The self-paced foundations cover AI, ML, NLP and transformer theory if you want it.
Comfortable enough to read and modify code. Module 0 refreshes Python, APIs and testing fundamentals, and the Launchpad track includes a full Python engineering foundation for graduates.
It is demanding but achievable, provided you commit the weekday practice hours. Tell admissions your background honestly and they will advise whether to start with the AI-Powered Professional track instead.
Format & time commitment
15–20 hours: about 10 hours of live weekend classes, one guided project lab, and 5–10 hours of weekday preparation and practice.
Live and mentor-led on weekends, with weeknight office hours. Every session is recorded and you keep lifetime access.
Watch the recording and bring your questions to the next office-hours session. Missing the guided project lab is the one to avoid, since that is where the reviewed work happens.
Talk to admissions. In genuine cases we can roll you into a later cohort, subject to seat availability.
For learners outside India
Yes. We run a US-friendly weekend slot alongside the India cohort, and every class is recorded within hours. See the US professionals page.
The weekend cadence is built for exactly that. Most of our US-based learners keep full-time roles throughout. Nothing in the program requires you to do outside work that conflicts with an employment agreement, but check your own contract on personal projects.
It is professional training, not employment, and it is not affiliated with your university's credit programme. It does not affect your immigration status. Consult your Designated School Official for anything status-related — we cannot give immigration advice.
Yes. The weekend cadence works reasonably for most of those time zones, and every session is recorded. Mention your location in the enquiry form and admissions will confirm the fit.
Outcomes & support
No. We provide placement assistance — resume and LinkedIn optimisation, mock interviews, application strategy and job-search guidance. We do not guarantee employment, salary or visa outcomes.
Eight reviewed projects plus a capstone: an LLM test agent, a RAG test-case generator with evaluation, a multi-agent QA pipeline, a self-healing automation agent, an NLP-to-Playwright generator over MCP, an agentic API validation agent, an evaluation and observability harness, and a production QA copilot.
Yes, a certificate of completion. It supports your application; the portfolio and your ability to defend it carry the interview.
The support period continues: revisit classes and assignments, get guidance during your active job search, and keep community access.
Fees & logistics
Fees vary by track and cohort. Request the fee sheet through any form on the site and admissions will send it the same business day, including instalment options.
Yes, on all four tracks.
See the refund policy for full terms including the cooling-off window.
Yes — private cohorts shaped around your team's stack and regression estate. Get in touch with your team size and current tooling.
Next cohort
Still deciding?
Talk to admissions. A ten-minute conversation is usually enough to tell whether this is the right program and the right time.
Weeknight office hours · lifetime access to recordings · one accountable mentor across all 100 days