Online + offline · Bengaluru
Become a GenAI engineer who builds RAG systems: embeddings, vector databases, LangChain and evaluation. Live batches in Bangalore, placement support.
The Generative AI track teaches working professionals, starting from Python and SQL, to build retrieval-augmented generation (RAG) systems that hold up outside a demo: chunking, embeddings, vector databases, retrieval and re-ranking, LangChain and LlamaIndex orchestration, evaluation, guardrails and deployment. It runs three months alongside a full-time job, with unlimited mock interviews and placement support until you are hired.
Working professionals with two or more years of experience, IT or non-IT, and people returning after a career gap.
Own the work end to end: design it, build it, explain it in an interview, and keep it running once it is live. Every module ends with something you can show a hiring manager rather than a certificate.
Syllabus
7 modules and 28 topics over 3 months, live, alongside your job.
Portfolio
Built on real company-style problems, and written up so you can walk an interviewer through them.
Ingest a messy document set, then tune chunking, embeddings and re-ranking, measuring how each change moves answer quality.
Build a test set and scoring pipeline for retrieval recall and faithfulness that shows whether a change made answers better or worse.
Ship a cited-answer assistant behind a FastAPI endpoint with guardrails, streaming, caching and cost tracking.
Mock interviews
Every mock looks like the real thing, and there is no limit on how many you get.
Start early
Your first mock comes before you feel ready. It shows the gap between what you know and what you can say under pressure.
Weekly and recorded
A mock with the placement team every week, each one recorded and followed by written feedback on what to fix.
Real company rounds
Technical, system design and manager rounds, modelled on the companies you are actually targeting.
No cap
Mocks continue until you are clearing real interviews, not until a quota runs out.
Proof
Irfan worked in reporting and dashboards, and wanted to move into applied AI before that window closed. He built two retrieval-augmented generation systems and, more unusually, an evaluation harness that measured answer quality. He joined Fractal as a GenAI Engineer three months after his first assessment call.
Read Mohammed's storyMohammed's move
Across Stint Academy
Mohammed's numbers are from their own placement. Results depend on your experience and interviews.
Fee
Not placed within 3 months? We return your ₹50,000 token. The ₹2,70,000 balance is due only if you're placed.
How the payments split
Both plans include GST. Pay only into the account of TMG Edutech Pvt Ltd and keep every receipt.
FAQ
Straight answers to what people ask before they book a call.
Yes. Batches run on weekday evenings and weekends, sessions are recorded, and mock interviews are scheduled around your working hours.
Two or more years of work experience and comfort with basic logic. We cover the technical foundations from the start, so you do not need prior experience with these specific tools.
Mock interviews continue without a cap and placement support runs until you are hired. Most people need several attempts, and the feedback after each one is the point.
Free assessment
Not sure which track fits you? Book a free 30-minute assessment.
Talk to a real counselloryour target role and timeline
Get a recommended trackmatched to you, not your title
Know the feemost of it is paid after you’re placed
Book your free assessment
Tell us where you are today and we'll map the right track for you.
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