House of Data logo House of DataDilsukhnagar · Hyderabad Book a free demo

Data Science · Analytics · Generative AI

We don't run a course. We build the house your career lives in.

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.

Book a free demo class 90001 58078
★★★★★ 5.0 on Google · 47 reviews
9K+ on Instagram
15 students a batch

What you actually get

Everything is counted. Nothing is vague.

100+days of live training, weekday or weekend
300+hours of assignments and practicals
2 + 2real ML and Gen AI projects, deployed
15students per batch, never more

Two formats

One focus. Two lengths.

We teach Generative AI and nothing else. Both programs run online, offline, weekday and weekend, and both include certification, lifetime access to House of Data, free webinars and an internship opportunity.

Intensive · 100 days

Generative AI — 100 Days

The fastest credible route into an AI engineering role. Python and SQL through to LLMs, RAG and agents — built, deployed and on your CV.

  • Python & SQL
  • Math & Statistics
  • ML foundations
  • Gen AI — NLP, CV
  • RAG & vector databases
  • AI agents — LangGraph, MCP
  • Prompt engineering
  • Cloud deployment
₹59,999Instalments available
Flagship · 6 months

Generative AI — 6 Months

The full build, foundation to roof. Everything in the 100-day program, then deeper specialisation, production LLMOps, more capstones and longer placement support.

  • Everything in 100 Days
  • Multi-agent systems
  • Fine-tuning
  • MLOps & LLMOps
  • Azure / GCP / AWS
  • LLM evaluation & guardrails
  • Extra capstone projects
  • Extended placement support
₹74,999Instalments available

Who is this for?

  • Students & final-year graduates
  • Working professionals
  • Job seekers
  • People with a career gap
Not sure? Talk to us

The syllabus

Six modules, in the order they're useful.

Beginner to advanced, then specialisation, then production, then the job. No module starts before the one under it is solid.

01

Fundamentals of Data Analysis

Excel · Beginner Python · Tableau

Two weeks · Beginner
02

Analytical Proficiency & Business Insights

SQL · Product analytics

Two weeks · Intermediate
03

Foundations of Machine Learning & Deep Learning

Advanced Python & libraries · Probability, statistics, calculus, linear algebra · Intro to neural networks

Three weeks · Advanced
04

Specialisations

Machine Learning — supervised, unsupervised, recommenders · and / or Deep Learning — neural networks, computer vision, NLP, Generative AI, RAG and AI agents

Four weeks
05

ML Pipeline Development & Deployment

MLOps · Advanced data structures & algorithms (optional)

One week
06

Get placed at top product companies

Build a strong profile · Apply the right way · Ace the interview

Till you are placed

The stack

The tools on the job descriptions.

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.

Languages & data

  • Python
  • SQL
  • R
  • NoSQL
  • Pandas
  • NumPy
  • FastAPI
  • Power BI
  • Tableau
  • Advanced Excel

ML & deep learning

  • scikit-learn
  • PyTorch
  • TensorFlow
  • Transformers
  • CNNs
  • RNNs
  • XGBoost
  • OpenCV

Gen AI & LLMs

  • Hugging Face
  • OpenAI API
  • Anthropic API
  • Gemini API
  • Prompt engineering
  • Fine-tuning
  • Open-weight models

Agents & orchestration

  • LangChain
  • LangGraph
  • CrewAI
  • MCP
  • Tool calling
  • Multi-agent systems
  • AI workflows

Retrieval & vector data

  • RAG
  • Chunking & embeddings
  • Pinecone
  • Qdrant
  • FAISS
  • ChromaDB
  • Knowledge graphs

Deployment & cloud

  • Docker
  • Kubernetes
  • Azure
  • AWS
  • GCP
  • MLOps
  • LLMOps
  • CI/CD

Evaluation & governance

  • LLM evaluation
  • Benchmarking
  • Guardrails
  • Red teaming
  • Responsible AI
  • AI security

Analytics & BI

  • Power Query
  • Excel Macros
  • Product analytics
  • A/B testing
  • Business analytics
  • Automation

Ways of working

  • Git & GitHub
  • Agile delivery
  • Code review
  • System design
  • Interview vocabulary

The build sequence

Eight levels. Foundation to roof.

Nothing here is optional and nothing is left to you. Each level is scheduled, taught and checked before the next one starts.

  1. Enrol

    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.

  2. Live training starts

    Online, offline, weekday or weekend. Fifteen students maximum, so you can interrupt and ask.

  3. Real-time projects

    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.

  4. One-to-one support

    Stuck at 11pm on a model that won't converge? That's what the mentor line is for. Any time, through the program.

  5. Corporate readiness

    Interview vocabulary, corporate etiquette, team outings. The part most institutes skip and every interview panel notices.

  6. Certification

    Complete the program and get certified by House of Data, with your project portfolio attached.

  7. Profile marketing

    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.

  8. Placed

    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

Two safety nets, not one.

Most institutes end at the certificate. Ours is the point where the actual work starts.

Profile marketing

We take complete responsibility for your resume — not a template, an actual rewrite around your projects. Then we market that profile:

  1. Naukri — positioned for the roles currently hiring
  2. LinkedIn — profile rebuilt, activity recruiters actually see
  3. Hiring partners — direct submissions through our network
  4. Mock interviews — until your answers hold up under pressure

Advanced Placement Plan

If you finish the program and aren't placed, you can move to the plan where you pay only after you're earning:

  1. Profile health check — assessed and reported
  2. Sign the ISA and join the placement drive
  3. Share documents and get on the drive calendar
  4. Get placed, then pay in monthly instalments
  5. Come back as a mentor if you want to

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

Roles and packages, 2025–26.

Market averages per annum. During enrolment we map your own profile against these and give you an honest number, not a brochure number.

Junior / Associate Data Scientist0–2 years₹5L – ₹10L
Data Scientist / ML / AI Engineer2–5 years₹10L – ₹25L
Senior Data Scientist5+ years₹25L – ₹35L
Lead Data Scientist7+ years₹35L+
Data Science ManagerLeadership₹70L+

The full map

AI hiring is no longer two job titles.

"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.

Fastest growing in India 2026

Where the hiring curve is steepest right now.

  • Agentic AI Developer
  • AI Software Engineer (Agentic & MCP)
  • GenAI & Agentic AI Engineer
  • Agentic AI Architect
  • RAG & Agentic AI Lead
  • GenAI Solution Architect
  • AI Product Manager
  • AI Platform Engineer
  • AI Quality Engineer (GenAI)
  • AI Automation / DevSecOps Engineer

Core AI 11 roles

The engineering and science foundation.

  • AI Engineer
  • Machine Learning Engineer
  • Data Scientist
  • Applied AI Engineer
  • AI Software Engineer
  • Research Engineer
  • AI Research Scientist
  • Deep Learning Engineer
  • NLP Engineer
  • Computer Vision Engineer
  • Speech AI Engineer

Generative AI 12 roles

Building on top of foundation models.

  • Generative AI Engineer
  • LLM Engineer
  • Prompt Engineer
  • Prompt Designer
  • RAG Engineer
  • AI Agent Developer
  • Multi-Agent Systems Engineer
  • Agentic AI Engineer
  • AI Workflow Engineer
  • AI Application Engineer
  • AI Automation Engineer
  • AI Integration Engineer

Architecture & leadership 8 roles

Where senior careers go after 7+ years.

  • AI Architect
  • GenAI Solution Architect
  • AI Enterprise Architect
  • AI Platform Architect
  • AI Technical Lead
  • AI Delivery Manager
  • AI Engineering Manager
  • AI Practice Lead

Data engineering 7 roles

The pipes everything else runs on.

  • Data Engineer
  • AI Data Engineer
  • ML Data Engineer
  • Vector Database Engineer
  • Knowledge Graph Engineer
  • Data Platform Engineer
  • Feature Store Engineer

Infrastructure — MLOps & LLMOps 9 roles

The gap between a notebook and a product.

  • MLOps Engineer
  • LLMOps Engineer
  • AI Platform Engineer
  • AI Infrastructure Engineer
  • AI DevOps Engineer
  • AI Cloud Engineer
  • AI Systems Engineer
  • Model Deployment Engineer
  • AI Reliability Engineer (AI SRE)

Quality & evaluation 7 roles

New category, barely any competition yet.

  • AI QA Engineer
  • LLM Evaluator
  • AI Testing Engineer
  • AI Validation Engineer
  • Prompt Evaluator
  • Red Team Engineer
  • AI Benchmark Engineer

Security & governance 8 roles

Rising fast as regulation catches up.

  • AI Security Engineer
  • AI Safety Engineer
  • Responsible AI Engineer
  • AI Governance Specialist
  • AI Compliance Analyst
  • AI Risk Manager
  • AI Privacy Engineer
  • AI Auditor

Product & business 8 roles

For people who'd rather shape AI than build it.

  • AI Product Manager
  • AI Product Owner
  • AI Business Analyst
  • AI Consultant
  • AI Solutions Consultant
  • AI Strategy Consultant
  • AI Adoption Specialist
  • AI Customer Success Engineer

AI operations 6 roles

Keeping live AI systems healthy.

  • AI Operations Engineer
  • AI Support Engineer
  • AI Monitoring Engineer
  • AI Observability Engineer
  • AI Incident Manager
  • AI Runtime Engineer

Domain-specific AI 8 roles

Your existing industry experience becomes an asset.

  • Healthcare AI Engineer
  • Finance AI Engineer
  • Legal AI Engineer
  • HR AI Specialist
  • Marketing AI Specialist
  • Supply Chain AI Engineer
  • Manufacturing AI Engineer
  • Cybersecurity AI Engineer

Research 6 roles

Usually needs a postgraduate background.

  • Research Scientist
  • Research Engineer
  • Foundation Model Engineer
  • AI Algorithm Engineer
  • Reinforcement Learning Engineer
  • Multimodal AI Engineer

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

Hyderabad is where the data is going.

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.

9,05,715people employed in Hyderabad's IT/ITES sector across 1,500+ companies, as of 2023
7of India's significant data centre hubs are in Hyderabad, with the market projected to grow at 20% CAGR to 2030
2,000startups in Telangana by 2022, up from 400 in 2016 — with billions committed to state data centre investment

Watch a session

See how Gen AI is actually taught.

Two unedited clips from the Generative AI module — the real pace, the real depth, the same room you'd be sitting in. Not a trailer.

Generative AI — demo session 1House of Data · Live class
Generative AI — demo session 2House of Data · Live class

Who teaches you

Practitioners, in the room.

Not recorded lectures and not a rotating bench of part-timers. The people below take the sessions.

CK
Chetan KumarAI Architect
AP
AparnaData Scientist
VK
Vinay KarthikTeam Lead, Data Science
YS
YashaswiniAI Engineer

What students say

5.0 on Google, across 47 reviews.

5.0
★★★★★
47 reviews · House of Data, Dilsukhnagar
Read them on Google

★★★★★

House of Data provides excellent training in Generative AI. What I liked most is the practical approach — we worked on real projects instead of just theory. This helped me gain confidence in using tools like Python, LangChain, OpenAI APIs, and vector databases and got offer letters from 2 MNC's :)

Sathvik K

★★★★★

I’m truly grateful to this institute for helping me build strong AI skills and successfully secure a job. The curriculum is well-structured and industry-focused, with hands-on projects that gave me real practical experience. The mentors were supportive and always ready to clarify doubts. This learning journey significantly boosted my confidence and career growth. Highly recommended!

Swaroop Ninewar

★★★★★

Truly a knowledge hub for AI, and the team administration is really progressive. I am fully impressed with the coaching efficiency 👌

Reddappanaidu Abburi

★★★★★

I had a great experience learning here. The practical sessions helped me a lot in improving my skills.

Govardhini Duddu

Before you ask

Straight answers.

I'm from a non-IT background. Can I do this?

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.

What exactly does "job assurance" mean?

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.

Can I pay in instalments?

Yes. And if you complete the program without a placement, the Advanced Placement Plan lets you pay after you're placed, in monthly instalments.

Are the classes online or in person?

Both. We run weekday and weekend batches, online and at the Dilsukhnagar centre. You can switch between them if your work schedule changes.

Is Gen AI actually in the syllabus, or just a mention?

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.

Where exactly are you?

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.

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