Data Science · Analytics · Generative AI
100+ days of live training in Dilsukhnagar, 15 students to a batch, real ML and Gen AI projects deployed to the cloud — then we write your resume, market your profile and stay on it until you're placed.
What you actually get
Two ways in
Both run online, offline, weekday and weekend. Both include certification, lifetime access to House of Data, free webinars and an internship opportunity.
For graduates and working professionals who want the fastest credible route into a data role — analyst, BI developer, reporting.
For people aiming at data scientist, ML engineer, AI engineer and Gen AI engineer roles. This is the full build, foundation to roof.
The syllabus
Beginner to advanced, then specialisation, then production, then the job. No module starts before the one under it is solid.
Excel · Beginner Python · Tableau
SQL · Product analytics
Advanced Python & libraries · Probability, statistics, calculus, linear algebra · Intro to neural networks
Machine Learning — supervised, unsupervised, recommenders · and / or Deep Learning — neural networks, computer vision, NLP, Generative AI, RAG and AI agents
MLOps · Advanced data structures & algorithms (optional)
Build a strong profile · Apply the right way · Ace the interview
The stack
Not a survey of everything that exists. This is what Indian hiring managers are asking for in 2026, and it's what you'll have your hands on during the program. Gold means it's showing up in almost every Gen AI job description right now.
The build sequence
Nothing here is optional and nothing is left to you. Each level is scheduled, taught and checked before the next one starts.
Register, pick your batch and get a profile analysis — graduation year, gaps, prior experience — with a realistic package report before you spend a rupee on the course.
Online, offline, weekday or weekend. Fifteen students maximum, so you can interrupt and ask.
Two machine learning and two Gen AI projects built the way they're built at work — versioned, deployed to Azure, GCP or AWS, with MLOps and LLMOps around them.
Stuck at 11pm on a model that won't converge? That's what the mentor line is for. Any time, through the program.
Interview vocabulary, corporate etiquette, team outings. The part most institutes skip and every interview panel notices.
Complete the program and get certified by House of Data, with your project portfolio attached.
We build the resume ourselves and push your profile through Naukri, LinkedIn and our hiring partners, tuned to whatever the market is asking for that month.
Multiple offers, your choice of city and company type — product, service, hybrid or startup. If it doesn't happen here, you move to the Advanced Placement Plan.
After the course
Most institutes end at the certificate. Ours is the point where the actual work starts.
We take complete responsibility for your resume — not a template, an actual rewrite around your projects. Then we market that profile:
If you finish the program and aren't placed, you can move to the plan where you pay only after you're earning:
Job assurance is conditional — attendance, assignment completion and interview participation apply. We walk you through the exact written conditions before you enrol.
Where this leads
Market averages per annum. During enrolment we map your own profile against these and give you an honest number, not a brochure number.
The full map
"Data Scientist" and "ML Engineer" used to be the whole market. Companies now hire across research, engineering, product, infrastructure, security, governance and business — and in India the sharpest demand is for people who can put AI systems into production, not just train models. Here's the map, so you can aim at a specific title instead of a vague one.
Where the hiring curve is steepest right now.
The engineering and science foundation.
Building on top of foundation models.
Where senior careers go after 7+ years.
The pipes everything else runs on.
The gap between a notebook and a product.
New category, barely any competition yet.
Rising fast as regulation catches up.
For people who'd rather shape AI than build it.
Keeping live AI systems healthy.
Your existing industry experience becomes an asset.
Usually needs a postgraduate background.
Generally the highest paying: AI Architect · Applied AI Engineer · LLM Engineer · AI Platform Engineer · Research Engineer · AI Product Manager · Agentic AI Engineer · AI Security Engineer · MLOps / LLMOps Engineer · AI Consultant. During enrolment we look at your background and tell you which two or three of these are realistically reachable, and in what order.
Why here
Bangalore leads the country for data science roles and Hyderabad is second — and the infrastructure being built here is the reason that gap keeps closing.
Who teaches you
Not recorded lectures and not a rotating bench of part-timers. The people below take the sessions.
What students say
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[Student name]Before you ask
Yes, and most of our students are. We start from Excel and SQL, and the maths is taught from scratch. What we need from you is the hours, not a computer science degree.
It means we keep working your profile until you're placed — resume, marketing, interviews, mock rounds. It is conditional on attendance, completing assignments and attending the interviews we arrange. We show you the written conditions before you pay anything.
Yes. And if you complete the program without a placement, the Advanced Placement Plan lets you pay after you're placed, in monthly instalments.
Both. We run weekday and weekend batches, online and at the Dilsukhnagar centre. You can switch between them if your work schedule changes.
It's two of your four capstone projects. You'll work with NLP and computer vision, build with LLMs, and put them into production with LLMOps on a real cloud — Azure, GCP or AWS.
12-73/4, Kodandaram Nagar, P&T Colony, Dilsukhnagar, Hyderabad 500060. One kilometre from Dilsukhnagar Metro Station and 250 metres from Saroor Nagar Lake. Search "House of Data" on Google Maps.
Next batch
Sit in on a real session, meet the mentors, look at what current students have built. No payment, no commitment.
Opens WhatsApp with your details filled in. We reply the same day.
