01/NERV Academy

Learn AI bybuilding it.

Self-paced AI and ML programmes, built on end-to-end live projects. You train on the tools AI teams use at work, build a portfolio employers can open, and get ready for interviews. Your fee only covers the paid tools you use.

Two programmes, at cost

  • 12 weeks₹20,000
  • 24 weeks₹40,000

The fee pays for your cloud GPUs, AI model credits, tool seats and hosting. No margin on top.

Apply now
Length
12 or 24 weeks
Live projects
3 or 6, end to end
Mode
Online, self-paced
Outcome
Portfolio and job prep

02/Who it is for

No AI background needed

For anyone ready to learn by doing.

  • Students

    In college and want AI projects on your CV before placements start.

  • Freshers

    Graduated, looking for a first role, and need proof you can do the work.

  • Career changers

    Working in another field and want to move into data, ML or AI roles.

  • Developers and analysts

    Already code or work with data, and want to build with AI models.

Where you start, and where you finish

  • From: Watching tutorials and forgetting them

    To: Shipping a project every few weeks

  • From: A CV with courses on it

    To: A GitHub and portfolio with live links

  • From: Not sure which tools matter

    To: Hands-on with the tools AI teams use

  • From: Freezing at technical questions

    To: Explaining your own projects in interviews

03/Programmes

Self-paced, with live projects

Pick the depth. Both end with work you can show.

Every week: learn one idea, then use it on a live project the same week.

12 weeks

3 live projects · 10 to 12 hours a week

AI and ML Foundations to Projects

₹20,000

From Python and data to machine learning and your first AI apps, with three live projects you can show an employer.

For: Students, freshers and people who code a little and want their first AI or ML role.

  1. Weeks 1 to 3

    Python, data and the working setup

    Python for data work, notebooks, SQL, Git and GitHub, and the cloud workspace you use for the rest of the programme.

  2. Weeks 4 to 7

    Machine learning that ships

    Regression, classification, clustering and evaluation with scikit-learn, on real datasets. Live project 1: a model with a clean write-up.

  3. Weeks 8 to 10

    Generative AI and LLM apps

    Prompting, model APIs, embeddings and retrieval (RAG). Live project 2: an AI assistant built on a real business problem.

  4. Weeks 11 to 12

    Deploy, portfolio and job preparation

    Put a project online, polish your GitHub and CV, and practise technical and HR interviews. Live project 3: a deployed end-to-end app.

Apply for 12 weeks

24 weeks

6 live projects · 10 to 12 hours a week

AI and ML Engineer Track

₹40,000

Everything in the 12-week programme, then deep learning, MLOps and AI agents, with six live projects and a capstone.

For: Graduates and working people moving into AI or ML engineering who want depth and a stronger portfolio.

  1. Weeks 1 to 12

    The full 12-week programme

    Python, data, machine learning, LLM apps and deployment, with the first three live projects.

  2. Weeks 13 to 16

    Deep learning

    Neural networks with PyTorch, computer vision and NLP, trained on cloud GPUs. Live project 4.

  3. Weeks 17 to 20

    MLOps and AI agents

    Docker, APIs, experiment tracking, monitoring, and agents that use tools and automate a workflow. Live project 5.

  4. Weeks 21 to 24

    Capstone and job preparation

    One end-to-end capstone on a live brief, a portfolio site, mock interviews and help with applications. Live project 6.

Apply for 24 weeks

04/Where your fee goes

At cost

You pay for the tools. Not for us.

Your fee covers the paid tools you use while you learn: cloud GPUs, AI model credits, assistant seats and hosting. We keep no margin on it. The teaching, project reviews and job preparation come from the NERV MEDIA team, who build AI for client businesses with these same tools.

One published fee for everyone. No countdown offers, no haggling, no hidden extras.

  • Cloud GPU and notebook time

    Hours on hosted notebooks and GPUs to train models, so you never need an expensive laptop.

  • AI model API credits

    Credits for the large language model APIs used to build assistants, retrieval and agents.

  • Paid seats on AI assistants

    Access to the paid tiers of AI coding and research assistants for the length of the programme.

  • Deployment and hosting

    Cloud hosting, databases and domains so your projects are live links an employer can open.

05/What you get

Both programmes

Trained the way real AI work is done.

  • Self-paced lessons you can follow around college or work
  • End-to-end live projects, built the way client work is built
  • Hands-on time on the tools AI teams use at work
  • Project reviews from people who ship AI for businesses
  • A portfolio of deployed projects to show employers
  • CV, GitHub and interview preparation

Tools you work with

Code and data
  • Python
  • Jupyter
  • pandas
  • NumPy
  • SQL
Machine learning
  • scikit-learn
  • PyTorch
  • Hugging Face
Generative AI
  • LLM APIs
  • Embeddings
  • Vector databases
  • LangChain
Engineering
  • Git and GitHub
  • Docker
  • FastAPI
  • Cloud deployment
MLOps
  • Experiment tracking
  • Model monitoring
  • CI pipelines

Roles your projects prepare you for

  • Data analyst
  • Machine learning engineer
  • AI engineer
  • Generative AI developer
  • Data scientist
  • AI automation specialist

We prepare you to apply and interview. We do not promise a job or a salary.

06/How it works

Four steps

Apply first. Pay only once it fits.

  1. 01

    Apply

    Choose a programme and fill in the form. There is no payment now.

  2. 02

    A short call and task

    We call you, and send one small task close to the first project. It shows us your level and shows you the work. It is not a free pass.

  3. 03

    Confirm your seat

    We send the batch dates and a payment link. Your seat is confirmed once the fee is paid.

  4. 04

    Start building

    You get your tool access on day one and begin the first project in week one.

07/Questions

5 answers

Straight answers

Do you guarantee a job?

No. Nobody honest can. What we promise is the work that gets people hired: live projects, hands-on time on the tools, a portfolio you can show and real interview practice.

Why is the fee so low?

Because it only covers the paid tools you use while you learn. We keep no margin on it.

Do I need to know how to code?

For the 12-week programme, no, but you need to be comfortable with a computer and ready to practise. For the 24-week track, some coding helps. Tell us your level in the form and we will be honest about the fit.

What do I need?

A laptop or desktop with a stable internet connection. Heavy training runs in the cloud, so it does not need to be powerful.

Is GST included?

Fees are in Indian rupees. We confirm the final amount, with any GST, in writing before you pay.

08/Apply

Apply for a seat

Programme (required)

Choose a programme to see its fee.

The fee covers the paid tools you use while you learn. Nothing is charged when you apply.

About you

Education and experience

Or the year you expect to finish.

Goals and time

No payment now. We call you first.