Mohammed Irfan
Data Analyst, Cognizant
→ GenAI Engineer, Fractal
6 months₹11L → ₹24L
For working professionals · Online + Offline, Bengaluru
Become a GenAI / LLM Engineer
Become a GenAI or LLM Engineer. Live batches for working professionals in Bengaluru, with real LLM projects and placement support until you are hired.
50+ placed/monthSupport until placedOnline + offline Bengaluru
- You end up as
- GenAI / LLM Engineer
- Duration
- 4–5 months
- Mode
- Online + offline (Bengaluru)
- Mock interviews
- Unlimited
The Generative AI track takes working professionals from Python fundamentals to building and evaluating LLM applications that hold up outside a demo. It runs four to five months alongside a full-time job, and includes unlimited mock interviews plus placement support until you are hired.
Who this track is for
Developers, analysts and data engineers with two or more years of experience who want to build applied AI systems rather than read about them.
What you will be able to do
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.
Outcome role and salary range
GenAI / LLM Engineer — typically ₹16L–₹35L for engineers with 3–8 years of experience. Your actual offer depends on your experience, interview performance and the company.
LangChainRAGVector DBsPythonLLM APIsEvaluation
Syllabus
5 modules over 4–5 months.
1 Groundwork
- Python for AI engineering
- How transformers and tokenisation actually work
- Prompting: what is technique and what is folklore
- Cost, latency and model selection
2 Retrieval systems
- Chunking strategies and why they decide quality
- Embeddings and vector databases
- Hybrid search and reranking
- Handling documents that resist retrieval
3 Building applications
- LangChain and orchestration patterns
- Tool use and function calling
- Agents, and when a plain pipeline is better
- Streaming, caching and user-facing latency
4 Evaluation and safety
- Building an evaluation set from real questions
- Measuring faithfulness and answer quality
- Regression testing prompts and models
- Guardrails, injection and failure modes
5 Production
- Deployment and monitoring for LLM systems
- Cost tracking and token budgets
- Interview preparation for applied AI roles
- Portfolio review and architecture write-ups
Projects you build
Built on real company-style problems, and written up so you can walk an interviewer through them.
Project 1
RAG over real documents
Build retrieval over a messy document set, then improve answer quality with measured changes rather than guesses.
Project 2
Evaluation harness
Create a test set and scoring pipeline that tells you whether a prompt or model change made things better or worse.
Project 3
Tool-using assistant
Ship an assistant that calls real tools, handles failure, and refuses gracefully when it does not know.
How the mock interviews work
- 1 You do a first mock early, before you feel ready. It shows you the gap between what you know and what you can say out loud under pressure.
- 2 Weekly mocks with the placement team after that, each one recorded, each one followed by written feedback on what to fix.
- 3 Rounds are modelled on the companies you are actually targeting — the technical round, the system design round and the manager round each get their own preparation.
- 4 There is no cap. Mocks continue until you are clearing real interviews, not until a quota runs out.
Placed from this track
All placements →Fee
Fee & payment
Fee depends on the track and your starting point. EMI options available. We'll walk you through it in your free assessment call — no pressure, no hidden charges.
Book your assessment →FAQ
Questions about this track
Still unsure? A counsellor can answer anything in a free 30-minute call.
Talk to usCan I do this track while working full time?
Yes. Batches run on weekday evenings and weekends, sessions are recorded, and mock interviews are scheduled around your working hours.
What do I need to know before starting the Generative AI track?
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.
How much does the Generative AI track cost?
It varies by track and your starting point. We share the exact fee and EMI plans in your assessment call, along with what is included.
What happens if I do not clear interviews in the first few attempts?
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
Your next role starts with one call.
Not sure which track fits you? Book a free 30-minute assessment.
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Talk to a real counsellor
Your profile, target role and a realistic timeline.
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Get a recommended track
Matched to where you are today, not your current title.
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Know the fee and EMI
No pressure, no hidden charges.
Free · 30-minute call
Book your free assessment
Tell us where you are today and we'll map the right track for you.