SELF-PACED MACHINE LEARNING COURSE · CERTIFICATE INCLUDED

Learn Machine Learning
by doing it

41 animated video lessons, then 52 activities where you actually do the work — compute the loss by hand, walk a sample down a decision tree, fit a real model in Python. Every step auto-checked. No maths degree needed.

✓ Built by an IIT Bombay PhD

✓ Zero coding background needed

✓ Certificate on completion

₹399 · Lifetime access · Free future updates

Start Learning ML →

One payment. No upsell, ever.

Everyone “learns” ML.
Almost no one can build a model.

You watch a 6-hour YouTube playlist. You nod at gradient descent. Then someone hands you a CSV and asks for a prediction — and you have no idea where to start.

Watching is not learning. Doing is.

Maths anxiety kills it early

Most ML courses open with matrix calculus. Here you compute one loss value and one gradient step by hand — small numbers, real understanding, no calculus wall.

Theory that never touches code

Knowing what a decision tree is won't get you a job. Here you fit scikit-learn models yourself and the checker runs your actual code.

No one checks your work

Passive courses let you fool yourself. Here 52 activities are graded automatically — you find out immediately if you truly got it.

See How It Fixes This →

4 modules · 41 videos · 52 graded activities

THIS IS THE DIFFERENCE

A fully active course

Every video is followed by activities you have to do. Six different kinds of practice, 52 graded activities in total — all checked automatically, so you always know where you stand.

▶

41 Video Lessons

Fully animated concept films — ML01 to ML40 plus a bonus code lab. Short, visual, no lecture-hall boredom.

41 videos

◆

22 Concept Quizzes

Not lazy true/false. Every wrong option is a real misconception, so a wrong answer teaches you something.

22 quizzes

◧

15 Code Walkthroughs

Be the computer. Compute a loss, take one gradient step, count KNN votes, fill a confusion matrix — by hand, step by step.

15 walkthroughs

⌨

13 Code Coach Labs

You write real Python. An AI coach reads your actual code and tells you what's wrong, why, and how to fix it — instantly, any hour.

13 coding labs

◎

AI Role-Play

Explain a model's bias risk to a manager, in your own words. The AI plays the stakeholder and pushes back.

1 role-play

★

Graded Capstone

Build a complete end-to-end ML model on a real dataset, submit it, and resubmit until it passes the rubric.

1 capstone

Start Learning ML →

Every activity auto-checked · Instant feedback

How one lesson works

The same loop, 41 times. The video is only the setup — the learning happens in the steps after it.

Watch

A short animated video builds the idea visually. Pause, rewind, rewatch anytime.

Do it by hand

A walkthrough makes you compute it yourself with small numbers — the concept stops being abstract.

Write the code

A Code Coach lab has you write real Python. The AI checks your code and explains any mistake.

Prove you got it

A quiz with misconception-based options confirms it stuck — and your progress is recorded.

What you'll learn

Four modules, from “what even is ML” to deploying a model that survives real data.

MODULE 1

The Foundation: how a machine learns

ML01 – ML07

What ML actually is · supervised, unsupervised & reinforcement · features and labels · the guess-check-adjust loop · loss (computed by hand) · gradient descent (one step by hand) · overfitting

MODULE 2

Supervised Learning, in depth

ML08 – ML19

Linear regression · logistic regression · decision trees · KNN · accuracy, precision & recall from a confusion matrix · train/validation/test · bias–variance · regularization · feature scaling · feature engineering · hyperparameter tuning

MODULE 3

Neural Networks & Deep Learning

ML20 – ML27

A neuron computed by hand · layers and the forward pass · activation functions · backpropagation · why depth helps · CNNs (slide a filter yourself) · RNNs · transformers & attention

MODULE 4

Doing It for Real

ML28 – ML40

The end-to-end ML workflow · data cleaning · imbalanced data · data leakage · ethics & bias (+ AI role-play) · deploying · model drift · your first full model in code · reading CSVs · a classification project · common mistakes · the toolkit · careers

★

Finish with a real capstone project

Load a dataset, split it properly, train a scikit-learn model, evaluate it on the test set, and write a short README explaining what it predicts. Submit it, get graded against a rubric, and resubmit until you pass — then it's a project you can actually show someone.

Start Module 1 Today →

₹399 · Lifetime access

Earn your certificate

Complete the modules and pass the capstone, and you receive a Certificate of Completion for ML Foundations — backed by work you actually did, not videos you merely opened.

✓

Earned, not attended

The certificate follows graded activities and a rubric-checked capstone project.

Ready for LinkedIn

Add it to your profile and CV, with a capstone project to back up the claim.

∞

Yours forever

Issued once you finish. No renewal, no expiry, no extra fee.

Who this is for

●

Students & fresh graduates

From any branch. You want ML on your CV with a project that proves it, not just a course name.

●

Working professionals

You keep hearing “AI/ML” in every meeting and want to genuinely understand what's happening.

●

Python beginners

You know a little code and want a real direction to grow into. The Python needed here is taught inside.

●

Career switchers

You're moving toward data roles and need foundations you can actually defend in an interview.

Not for you if: you already train models at work and want advanced MLOps or research-level deep learning. This is a foundations course — it takes you from zero to your first working model.

Who teaches it

Dr. Yogendra Pal

B.Tech (CSE) · M.Tech (CSE) · PhD from IIT Bombay

17+ years in software development and teaching. He planned the curriculum, wrote every script, and recorded every lesson himself — the same person the whole way through, so the course actually builds on itself instead of jumping between styles.

His research was in teaching methods for students learning in a second language — which is exactly why this course explains ML in plain words before it ever shows a formula.

One price. Everything included.

No tiers, no “pro version”, no upsell call at the end of the last video.

₹2,999

₹399

one-time payment · lifetime access

✓ 41 animated video lessons (ML01–ML40 + bonus code lab)

✓ 22 misconception-based concept quizzes

✓ 15 by-hand code walkthroughs

✓ 13 AI Code Coach programming labs

✓ 1 AI role-play on ethics & model bias

✓ 1 rubric-graded capstone project

✓ 6 module cheat-sheets, worksheets & 2 project notebooks

✓ Certificate of completion

✓ Lifetime access & every future update free

Get Instant Access →

Instant access · Learn at your own pace · No recurring charges

Questions, answered

Do I need to know Python before starting?
No. The first half of the course needs no coding at all — you learn the ideas and do them by hand. Python appears gradually from the middle onward, and every coding lab starts from a small snippet with the AI Code Coach checking your work.
Do I need to be good at maths?
No calculus or linear algebra is required. Where maths matters — loss, one gradient step, a neuron’s output, accuracy and recall — you work it out by hand with small, friendly numbers. That’s precisely what makes it click.
What makes this an "active learning" course?
Every video is followed by activities you must complete: 22 quizzes, 15 by-hand walkthroughs, 13 Code Coach labs, an AI role-play and a capstone — 52 graded activities in total. The video is only the setup; the graded step is always something you do.
What is the AI Code Coach?
You write the solution yourself, and the AI Code Coach reads your actual code — not a fixed answer key — then tells you what’s wrong, why it’s wrong, and how to fix it. Like a teacher sitting beside you, available at any hour.
Is this a live batch or self-paced?
Fully self-paced and pre-recorded. There’s no fixed schedule and no class to attend. Start today, pause anytime, rewatch any lesson as often as you like.
Do I get a certificate?
Yes. Complete the modules and pass the capstone project and you receive a Certificate of Completion for ML Foundations — earned through graded work, not just attendance.
What is the capstone project?
You build a small end-to-end ML model: load a dataset, split it correctly, train a scikit-learn model, evaluate it on the test set, and write a short README. It’s graded against a rubric and you may resubmit until you pass.
How long will it take?
Most learners finish in 4–6 weeks at about an hour a day, but there’s no deadline. Access is lifetime, so you can go faster or slower.
Are there any extra charges later?
None. ₹399 is the full and final price. No advanced batch, no upsell call, no pitch at the end of the last lesson. Future updates to the course are free.
What if I get stuck?
The Code Coach explains your specific mistake instantly, and every walkthrough is broken into checked steps so you can never be lost for long. You can also rewatch any lesson as many times as you want.

Stop watching ML.
Start doing it.

41 video lessons. 52 graded activities. A real capstone project and a certificate at the end — for the price of one pizza.

₹399 · one-time · lifetime access

Enrol Now →

Instant access · Certificate on completion · No upsell, ever

Learn Machine Learningby doing it

Everyone “learns” ML.Almost no one can build a model.