Waitlist open · Generative AI, project-first

Ship real AI.Get hired.

Stop collecting certificates. Build production-grade AI projects from real companies: the kind Nike, Netflix and JPMorgan actually ship. Then get the resume, interview and internship support to land the role.

  • 75+ real company projects
  • 1000+ interview questions
  • Placement support
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Real projects · Real companies

Build what they ship. Across retail, finance, pharma, media, logistics and energy.

The problem with learning AI

You've watched the tutorials. Collected the certificates. Then the interviewer says, “walk me through something you shipped.”Silence. Recruiters don't hire watch-time. They hire people who built real projects and can explain every technical decision.

Companies are hiring for AI. Mostly, they're hiring people who've already done the work. Tutorials don't count as experience. Built, shipped projects do.

+33%

AI/ML hiring in India, July 2026 vs July 2025. The fastest-growing segment.

Year-on-year growth, every month of 2026 so far

Naukri JobSpeak, Apr–Jul 2026 (opens in a new tab)
+53%

Growth for candidates with 13–16 years' experience. Demand is tilting toward people who've already shipped.

AI/ML hiring growth by experience band

Naukri JobSpeak, Apr 2026 (opens in a new tab)
Up to56%

Higher pay for freshers who do have AI skills.

Relative fresher pay, indexed

Naukri AI Jobs Report (opens in a new tab)

The path

Five stages of AI. One real project at every step.

01

Prompt & LLM apps

Where every AI engineer starts. Structured prompts, reliable outputs, and the habit of testing what the model actually says.

  • Prompt patterns
  • Structured output
  • Hand-rolled evals

You'll build

  • Roleplay TutorDuolingo
  • News Article TaggingBloomberg
  • Review SummarizerCarMax

02

RAG & knowledge

Make models answer from a company's own documents, with citations. The most in-demand skill in enterprise AI right now.

  • Chunking & embeddings
  • Vector search
  • Grounded answers

You'll build

  • Insurance RAGAXA
  • R&D Literature ReviewAstraZeneca
  • Regulatory DrafterEli Lilly

03

Agents & workflows

LLMs that take action. Call tools, plan multi-step work, remember context and recover when something breaks.

  • Tool calling
  • Agent graphs
  • Memory & recovery

You'll build

  • Ask WalmartWalmart
  • Dynamic Rerouting AgentFedEx
  • IndexGPTJ.P. Morgan

04

Multimodal & GenAI

Voice, vision, video and generated media: the products that make people say “wait, that is AI?”

  • Speech & vision
  • Image generation
  • Human-in-the-loop

You'll build

  • .SWOOSHNike
  • Content LocalizationNetflix
  • Speech-to-Speech TranslationMeta

05

Production & scale

Forecasting, fraud, monitoring, cost and latency. The unglamorous work that separates a demo from a job.

  • Monitoring & evals
  • Cost & latency
  • Deployment

You'll build

  • Oil Price PredictionShell
  • Eno (Fraud)Capital One
  • Fleet Management AITesla

The portfolio

Projects recruiters actually recognise.

Not to-do apps. Each project is modelled on a system a real company runs: with the messy data, the edge cases and the trade-offs. Pick a stage to explore.

  • Education

    Roleplay Tutor

    Duolingo

    Unscripted conversation practice that explains why your grammar was wrong.

  • Insurance

    Insurance RAG

    AXA

    Retrieve legal clauses, draft a commercial policy tailored to one client.

  • Pharma

    R&D Literature Review

    AstraZeneca

    Scans 5,000+ medical papers a week and flags breakthrough leads.

  • Retail

    Ask Walmart

    Walmart

    “Move my pickup to tomorrow.” An agent that actually does it.

  • Logistics

    Dynamic Rerouting Agent

    FedEx

    Watches weather and traffic, redraws package routes in real time.

  • Finance

    IndexGPT

    J.P. Morgan

    Builds thematic investment baskets by scanning global market news.

  • Retail

    .SWOOSH

    Nike

    Fans design virtual and physical goods with GenAI tools.

  • Media

    Content Localization

    Netflix

    Synced subtitles and dubbing scripts for shows in every language.

  • Energy

    Oil Price Prediction

    Shell

    Tanker imagery, news and supply reports into price forecasts.

Dropping soon: Zerodha · Groww · Flipkart · Tata 1mg · Accenture · Cognizant · Westside · Minimalist, and more.

Explore every project

Everything in one place

Everything between you and the offer.

Courses are the start. The Data School tracks your progress, keeps you moving, sharpens your resume, drills your interviews and helps you get seen.

Coming soon

Your progress, as a board.

Every lesson, project and quiz lands on a Kanban board: covered, in progress, pending. Never wonder what to do next.

Coming soon

Nudges where you actually look.

Study reminders and follow-ups on WhatsApp, before your streak breaks, not after.

Rolling out

Badges worth posting.

Earn verifiable skill badges and share them to LinkedIn and your socials in a tap.

Coming soon

AI interview practice.

Mock interviews that ask follow-ups and score your clarity, depth and structure.

Live

Resume review.

Line-by-line feedback and rewrites that put the projects you shipped first.

Live

Tests that teach.

Quizzes after every module, with explanations, not just scores.

Rolling out

Interview prep guide.

Real questions, worked answers, and the follow-ups interviewers love.

Rolling out

Cheat sheets.

One-page references for every stage, built for the night before.

Coming soon

LinkedIn content support.

We help turn each project into a post recruiters stop scrolling for.

Live

Publish under your name.

Write about what you shipped. Get featured on our blog and build a public paper trail.

Live

Content that never goes stale.

New projects, modules and questions ship continuously. The curriculum moves as fast as the industry does.

Placement support

We don't stop at the certificate.

The goal is an internship, then a job. So we build the whole runway: from your first project to the offer email.

  1. Portfolio

    Ship real company projects

    Build systems modelled on what Nike, Walmart and JPMorgan run. Each one becomes a case study you can walk an interviewer through.

  2. Resume

    A resume built around what you shipped

    Line-by-line review and rewrites, so the first thing a recruiter sees is proof, not a skills list.

  3. LinkedIn

    Get found, get shared

    Profile polish, post drafts for every project, and skill badges you can share in one tap.

  4. Interviews

    Practise until it is boring

    An interview prep guide, cheat sheets and AI mock interviews that ask the follow-ups real interviewers do.

  5. Internships

    We go the extra mile

    Application strategy, openings worth your time and hands-on support until an internship lands.

  6. Offer

    The email you have been waiting for

    This is what all of it was for.

Early users

Loved by early users.

Engineers, students and founders who moved from tutorials to shipping.

  • “The transition from Web Dev to AI felt impossible until I found this. The agentic workflow modules are a game changer.”

    Rahul S.Fullstack to AI Engineer
  • “I've taken many AI courses, but none focus on 'Deployment' like this one. Building the RAG pipeline was incredible.”

    Jessica K.Data Scientist @ Tech Giant
  • “The 50+ hands-on projects gave me more confidence than my entire 4-year degree. Landed an internship within 2 months!”

    Arjun M.Computer Science Student
  • “We used the multi-agent patterns taught here to build our MVP's core logic. It's practical, fast, and industry-standard.”

    Sophie T.AI Startup Founder
  • “The focus on production-grade AI: scaling, security, and latency. That is what separates this from basic tutorials.”

    Vikram R.Senior Software Engineer
  • “Finally, a course that explains how to actually 'SHIP' AI products. The LangChain and AutoGen projects were spot on.”

    Elena V.ML Operations (MLOps)
  • “The LLM orchestration modules helped me transition from simple API work to building complex autonomous agents.”

    Kunal P.Backend Developer
  • “Even with a non-technical background, the breakdown of AI lifecycles helped me lead my engineering team with total confidence.”

    Sarah J.AI Product Manager
  • “Bridges the gap between research papers and actual code. The vector database deep-dive was exactly what I needed.”

    Chen W.Research Assistant
  • “My billables tripled after mastering the agentic workflows taught here. Clients are desperate for these specific skills.”

    David L.Freelance AI Consultant
  • “Understanding AI-powered UI has changed how I design. The Data School team knows exactly where the industry is heading.”

    Ananya G.Web Designer
  • “Setting up CI/CD for LLMs was the missing piece in my skill set. This course covered it with zero fluff.”

    Marcus P.DevOps Engineer

Cohort enrolment opens soon

Ship the project. Land the offer.

Join the waitlist to be first in when enrolment opens. Spots are limited so every student gets personal attention.