WEEK01
THE FOUNDATIONS
Start writing Python
Get comfortable with notebooks, variables, loops, lists and functions. Practise with small programs.
LIVE LEARNING + BETWEEN-CLASS PRACTICELIVE WEEKENDS. A CLEAR START.
Your first line.
Your first model.
Understand both.
Learn Python from the beginning, explore real datasets, and build a guided machine learning project with Ramanand. 4 weeks of live weekend learning, with two-hour classes on Saturday and Sunday, plus practice and materials between classes.
Learn live with RamanandPython basics → hands-on machine learning
LINEAR REGRESSION
A little less guesswork.
Observations Model predictionIllustrative data
Initial guessCloser fit
Smaller gaps mean lower error on these points. Testing on unseen data comes next.
LESS THEORY IN ISOLATION.MORE “NOW I GET IT.” ↗
01 / THE FORMAT4 weeks. 16 hours of live classes.Sat & Sun · 2 hours per class
02 / THE COHORTOne shared learning cohort.School & college students · Job seekers · Parents
03 / THE INVESTMENT₹2,999 course fee.PDFs, notebooks, exercises and a guided project
FREE INTRODUCTORY SESSION · NOVEMBER 2026
Curious about Python and Machine Learning?
Start with a free introduction. Open to school and college students, job seekers, and parents exploring whether Python and ML could be useful for their children. No prior knowledge needed.
Explore Python and popular ML libraries, what models do, types of ML algorithms and their uses, deep learning, and trends in AI, with space for your questions.
Date and time to be announced. We’ll follow up with session details.A CLEAR PATH THROUGH THE FUNDAMENTALS
From Python basics to your first ML project.
WEEK02
WORKING WITH DATA
Make sense of data
Load datasets with pandas, explore patterns, clean missing values and create simple visualizations.
LIVE LEARNING + BETWEEN-CLASS PRACTICEWEEK03
MACHINE LEARNING
Meet your first models
Explore regression and classification, split training and test data, and learn how to evaluate predictions.
LIVE LEARNING + BETWEEN-CLASS PRACTICEWEEK04
THE GUIDED PROJECT
Bring it together
Work through a guided ML notebook, explain your results and limitations, and plan your next practice steps.
LIVE LEARNING + BETWEEN-CLASS PRACTICE
RAMANAND / INSTRUCTORYOUR INSTRUCTOR
Learn with Ramanand.
PhD Researcher in Artificial Intelligence at IIT Gandhinagar
I teach Data Structures, Algorithms, and Machine Learning. My approach is to connect the intuition with the implementation: understand an idea, write the code, and examine the result.
BEFORE YOU JOIN
Find out if this is your next step.
Do I need to know Python or DSA?
No. We start with Python fundamentals. Basic computer skills and school-level algebra are enough to begin. School and college students, job seekers, and parents exploring these subjects for their children are welcome.
What is the course schedule?
The course runs for 4 weeks, with two live classes each week: Saturday and Sunday, two hours per class. That is 16 hours of live classes in total. Exact dates and class times are confirmed before enrollment.
What learning materials are included?
Learning PDFs, code notebooks, datasets, practice exercises and a guided ML project are included. Recording availability and individual code-review arrangements should be confirmed before enrolling if they are important to you.
Can I join through my local computer institute?
Yes. Participating institutes help with enrollment and provide computers, internet and agreed lab access. CohortLab delivers the live teaching and course materials. Ask your institute or contact us to confirm participation and access.
How do I enroll and pay?
Use Checkout to review your fee, apply one creator or institute code, and pay securely through Razorpay. Enrollment and a payment receipt are confirmed after verification. You can also show interest to discuss the intake and timetable before paying.
Will this guarantee an internship or job?
No. This is a foundations course. The aim is to help you write basic Python, work with a dataset, and build and explain a simple ML model. Continued practice is essential.
FOR COMPUTER INSTITUTES
Add Python-to-ML learning to your catalogue.
You bring students, computers and internet. We bring teaching and course materials.
LET’S START WITH A CONVERSATION
Ready for your first Python-to-ML course?
Ask about the next 4-week intake and confirmed weekend timetable.
Run a computer institute? Explore our institute partnership programme.