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CS / IT students · New batch

Go from Python basics to building real ML models — with projects that get you shortlisted

An 8-week live program covering Python, data analysis, machine learning, and AI — built around real projects you can show in placements and internship interviews.

8 weeks

Duration

Live online

Format

2nd & 3rd year

Ideal for

Program Details

8 weeks · Live online

Get started with flexible payment options

3+ end-to-end ML projects with real data
Learn Python, pandas, scikit-learn from scratch
Build predictive models you can deploy
Interview-ready data science portfolio
Enroll NowChat with us
What you'll walk away with

Concrete, verifiable outcomes — not vague “skill improvement.”

3+

End-to-end ML projects built

Real models on real datasets — walkthrough-ready for any interview or internship application

0→1

Python proficiency from scratch

Start with zero Python knowledge, end with real data science capability

5

Core libraries mastered

Pandas, NumPy, Matplotlib, Scikit-learn, and an introduction to TensorFlow

∞

Lifetime access to recordings and notebooks

All Jupyter notebooks included — yours to keep, run, and extend after the program ends

8-week curriculum

Every week is a building block.

Miss nothing, fall behind nothing.

  1. 01

    Python fundamentals

    Python

    Variables, loops, functions, and logic — everything you need to start working with data.

  2. 02

    Data handling with Pandas & NumPy

    Analysis

    Clean, manipulate, and explore real datasets using the two most-used data science libraries.

  3. 03

    Data visualisation

    Analysis

    Tell stories with data using Matplotlib and Seaborn — from basic charts to publication-ready plots.

  4. 04

    Statistics for data science

    Stats

    Probability, distributions, and hypothesis testing — the foundation every ML model is built on.

  5. 05

    Machine learning basics

    ML

    Regression, classification, model evaluation, and how to avoid overfitting.

  6. 06

    Intermediate ML

    ML

    Decision trees, random forests, and SVM — the workhorses of real-world ML projects.

  7. 07

    AI & deep learning intro

    AI

    Neural networks explained simply — and a practical introduction to TensorFlow.

  8. 08

    Capstone project + mock interviews

    Project

    Build and present a complete ML project from scratch. Full interview simulation.

Is this course for you?

Check yourself honestly before enrolling.

This program is intense. It rewards students who commit.

This is for you if…

  • You're in 2nd or 3rd year and want to break into data or AI roles

    Early enough to build depth before placements begin

  • You have basic programming knowledge but haven't studied data science

    Python experience isn't required — we start from the very beginning

  • You want real projects beyond your college curriculum

    3+ ML projects with real datasets vs. theory assignments

  • You're preparing for data analyst or ML engineer roles

    Covers the exact stack companies test in data interviews

Probably not for you if…

  • Students with no programming exposure — start with Python basics first before joining

  • Final year students needing immediate placement prep — consider our Placement Prep course instead

Common questions

Honest answers, no fluff.

Talk to an advisor

Still have questions? We'll call you.

No pressure. Just honest answers about whether this program is the right fit for you.

Message us on WhatsApp

Typically reply within a few hours

Your first ML project is 8 weeks away.

8 weeks. Live classes. Under ₹5,000. Projects that actually get you shortlisted.

Enroll now — limited seatsWhatsApp us first

Still unsure? Talk to an advisor — no pressure, just answers.