House of Data/Generative AI Fast Track
Fast Track · 2 + 1 months
Generative AI, Fast Track.
Two months of intensive training, then one full month of nothing but placement. Taught in Dilsukhnagar by AI Engineers who ship Generative AI to production for a living — not career trainers reading from slides.
Who it suits
Built for people who need to move now.
You already write some code
Any language, even rusty. You have seen a loop and a function before. The pace assumes you are not meeting programming for the first time in week one.
You are switching from IT or testing
Support, QA, manual testing, ops. You understand how software gets built and shipped; you need the AI layer and a portfolio that proves it.
You have a deadline
A notice period ending, a gap you want to close, a role you are aiming at this quarter. Three months is the whole commitment.
You have never coded at all
We would rather tell you now: the six-month program spends its first weeks on Python and SQL properly. Starting from zero on the Fast Track means running to keep up. Look at the Flagship programme instead.
Months 1 and 2
The training block.
Live sessions, every one taught by a practising AI Engineer. Recordings go to your student portal the same day, so a missed class is never a lost class.
- Weeks 1–2Python and SQL for AI work The subset you actually use: data structures, pandas, API calls, async basics, and the SQL that gets you through a data round. Fast, because you are revising rather than learning to program.
- Week 3Machine learning foundations Enough statistics and modelling to be dangerous in an interview: regression, classification, evaluation metrics, overfitting, and why a model that scores well can still be useless.
- Weeks 4–5Generative AI and LLMs How transformers behave in practice, prompt engineering that survives contact with real users, embeddings, and the failure modes that make a demo look great and production look terrible.
- Week 6RAG and vector databases Chunking, hybrid search, reranking, evaluation. You build a retrieval system over a real document set and measure whether it is actually answering correctly.
- Week 7AI agents — LangGraph and MCP Tool calling, multi-step workflows, state, and the Model Context Protocol. This is where most of the current hiring demand in India sits.
- Week 8Deployment and the capstone Containers, cloud deployment on Azure, AWS or GCP, monitoring and cost. Your capstone goes live on a public URL — a link you can put in front of an interviewer.
Month 3
Extreme placement support.
A month with no new syllabus. The only objective is getting you hired.
- Daily mock interviews. Technical rounds, project deep-dives and HR rounds, run by the same engineers who teach — so the questions are the ones they ask when they interview.
- Your resume, rewritten. Not a template. An actual rewrite around your projects, by someone who knows what an AI hiring manager reads first.
- Naukri and LinkedIn rebuilt. Positioned for the roles currently hiring, with the activity recruiters actually see.
- Direct submissions. Your profile goes to our hiring partners through the placement cell, not into a job-board void.
- It does not stop at day 90. Placement support continues past the third month until you are placed. The month is the intensive part, not the deadline.
Job assurance is conditional. Attendance, assignment completion and interview participation all apply, and we walk you through the exact written conditions before you enrol — not after. How placement works in full →
The fee
₹59,999, plus a post-placement fee.
Everything to finish
All live sessions, class recordings in your student portal, every assignment reviewed, cloud credits for the capstone, certification, lifetime access to House of Data, free webinars and an internship opportunity.
The whole placement month
Mock interviews, the resume rewrite, profile marketing and hiring-partner submissions are part of the fee, not an add-on sold to you later.
Instalments
The course fee can be split. Talk to the team about what the schedule looks like for your situation.
The post-placement fee is a separate amount payable once you are earning. The figure, and any offer running at the time you join, comes from the House of Data team directly — we do not publish a number here that might be out of date by the time you read it.
Sit in on a class before you decide.
The demo is a real session with a real batch, not a sales pitch. Come to Dilsukhnagar or join online, meet the engineer who would be teaching you, and see how it is actually taught.