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.
100+ placed in MNCs in 2026
We Train for Careers, Not Just Certificates.
Learn. Build. Get Placed.
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.
- Week 1The map, and Python at speed Where Gen AI, machine learning and deep learning sit; the Python you actually use; vibe coding with an AI pair; and how software gets built — SDLC and AIDLC.
- Week 2Data, structured and not DBMS concepts and how SQL really works, then unstructured data: text, PDFs, scans and audio, and the parsing and chunking that makes them usable.
- Week 3Inside the models Transformer architecture, LLMs against SLMs, embedding models, context windows and cost. Then prompting, structured output, evaluation sets and guardrails.
- Weeks 4–5RAG and documents Chunking, hybrid search, reranking and citations. Pinecone, Qdrant, FAISS and ChromaDB. Document extraction with Textract and Azure Document Intelligence. The types of chatbot, and KAG.
- Week 6Agents and orchestration LangChain, LangGraph and LangSmith. MCP, tool calling and middleware agents. Multi-agent patterns, and n8n for the work that needs no model. This is where most of the current hiring demand in India sits.
- Week 7AI tools, and the product around the model Claude Code and Cowork, GitHub Copilot, Cursor and Amazon Kiro. Then FastAPI and Swagger tested in Postman, GitHub, and enough HTML, CSS, JavaScript, React and Figma to ship a usable front end.
- Week 8Deployment, cloud and the capstone Docker, Kubernetes and CI/CD with Jenkins or GitHub Actions. AWS, Azure, GCP and Cloudflare, and the AI services on each. 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 →
In the fee
Everything that comes with it.
Three months, one fee. Nothing here is an add-on and nothing is held back for a higher tier.
Two months of live training every session live, in Dilsukhnagar or online, weekday or weekend. None of it pre-recorded.
Doubt sessions every week plus a Questions tab in your portal where a trainer answers in writing, between classes.
A deployed capstone a full Generative AI build on a public URL, defended in front of a trainer before it counts as done.
A dedicated placement month the third month is placement work — resume, profile marketing, mock rounds, real interviews.
A certificate anyone can check numbered and signed, verifiable at houseofdata.in/verify by a recruiter with no account.
The Gen AI stack in full LLMs, embeddings, RAG, agents, LangChain and LangGraph, document extraction and deployment.
Every class recorded in your portal the same day with notes attached — which matters more here, because the pace is quick.
Fifteen students, never more the pace only works if the trainer can see who is falling behind.
Support continues past the third month the dedicated month is where it starts, not where it stops. It runs until you are placed.
Prerequisites
Who the Fast Track is for.
Three months at pace. It assumes something of you, and it is honest about what happens if that assumption is wrong.
This is for you if
- You already write some code — Python, Java, anything
- You are working in IT and want to move into AI without a break
- You have a deadline: a notice period, a visa, a gap you need to close
- You can put in the hours outside class every week
- You want to be interviewing in three months, not six
Look elsewhere if
- You have never written a line of code — take the Flagship
- You want the maths and statistics taught from scratch
- You are looking for a slower pace with room to catch up
- You want four deployed projects rather than one
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.