Learn Machine Learning in Just 6 Weeks

Master Python, scikit-learn, TensorFlow & PyTorch with hands-on projects, live mentor support, and an e-certificate.

Four diverse learners collaborating on laptops with floating machine-learning icons.

Why Machine Learning Skills Matter in 2025

27 000+ open ML roles in India
8–12 LPA starting salaries vs ₹4–6 LPA
40 % of alumni from non-CS backgrounds land ML roles

Infographic showing learner journey funnel: Awareness → Loyalty. — Learner journey funnel

What You’ll Learn

Implement regression & classification algorithms from scratch
Handle real-world datasets with Pandas & scikit-learn
Build & evaluate Deep Learning models in TensorFlow & PyTorch
Deploy ML APIs using Flask & Streamlit
Prepare for technical interviews with hands-on challenges

Prerequisites

Basic Python programming experience (variables, loops, functions)
High-school level math (algebra, basic statistics)
Willingness to code 90 mins/day on weekdays
Laptop with internet connection & admin rights

Your 6-Week Roadmap

Week	Focus	Skills	Project
1	Python & Math Refresher	NumPy, Pandas	y = mx + c notebook
2	Regression	scikit-learn, MSE	Housing price predictor
3	Classification	Logistic Reg, k-NN	Spam classifier
4	Unsupervised Learning	k-means, PCA	Segmentation dashboard
5	Deep Learning Intro	TensorFlow, CNN	MNIST recogniser
6	Deployment & Prep	Flask, Streamlit	Deployed API & demo

Scatter plot with regression line and error marker. — Linear regression concept

Meet Your Instructor

Dr. Anjali Singh is a Senior AI Engineer with 8 years of experience at top tech firms. She holds a PhD in Computer Science from IIT Delhi and has led multiple ML projects in healthcare and finance.

Her passion is to make complex ML concepts accessible. In this course, she’ll guide you step-by-step, review your code, and answer your questions live.

Module Previews

Week 1: Python & Math

Refresh fundamentals and build your first regression from scratch.

Week 3: Classification

Build a k-NN spam classifier with ROC analysis.

Week 5: Deep Learning

Create a CNN to recognise handwritten digits in under 50 lines of code.

What Our Students Say

“This course took me from zero to deploying real models in 6 weeks—I landed a data role within months!”

— Shreya Gupta, ML Engineer

“The live mentor sessions and project reviews were game-changers. Highly recommend!”

— Arun Joshi, Data Scientist

Frequently Asked Questions

Do I need advanced math?: No—intuitions first; libraries handle the computations.
Can non-CS grads keep up?: Yes—projects and support cover all backgrounds.
Time commitment?: 90 mins/day on weekdays; 2 hrs on weekends.

Ready to Level-Up?

Secure your spot at 50 % off—only ₹3 999 until seats fill up.