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šŸ“Š Python for AI and Machine Learning from Scratch hero

Level: Beginner

šŸ“Š Python for AI and Machine Learning from Scratch

Master Python for AI and machine learning by learning programming fundamentals, loading, cleaning, analyzing, and visualizing real datasets with NumPy, Pandas, and Matplotlib.

4.0

3.2k+ learners

Duration

0 min

Learners

3.2k+ Enrolled Students

Session Recording

Lifetime Access

Post Session

Mentor support

Session Schedule

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₹399

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Course Fee

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Worth of

₹399

Discount

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Includes

• Expert Designed Curriculum

• Doubt Clearing Session

• Forever Community Access

After this course, you can

Load and clean real datasets

Visualize data with Python

Prepare data for ML models

Build data analysis pipelines

Course Curriculum

Expand or explore the full learning path.

Lessons

Start here after enrolling. These lessons form the core learning path for the course.

Why Python Won the AI Race While Other Languages Watched

Installing Python and Setting Up VS Code Without Tears

Jupyter Notebooks: The Place Every ML Person Actually Lives

Virtual Environments: Stopping Your Projects From Fighting Each Other

Pip and conda: Installing Things, and Knowing Which One to Use

Git Basics: Saving Your Work Before You Break It

Variables and Data Types: Boxes, Labels, and What Goes Inside

Numbers, Operators, and the Maths Python Does for You

Strings and String Methods: Text Is Data Too

If, elif, else: Teaching Your Code to Make Decisions

Loops: Doing Boring Things 10,000 Times Without Complaining

Functions: Write It Once, Use It Forever

Lists: The Workhorse You Will Use Every Single Day

Tuples: Lists That Refuse to Change, and Why That Helps

Dictionaries: Looking Things Up by Name, Not by Number

Sets: The Fastest Way to Kill Duplicates ⚔

Nesting: Lists of Dicts, Dicts of Lists, and Real-World Shapes

Picking the Right Structure So Future-You Says Thank You

List Comprehensions: Three Lines Become One

Lambda, map, and filter: Tiny Functions With No Name

Reading a Traceback Instead of Panicking at Red Text

Try, except, finally: Handling Errors on Purpose

Raising Your Own Errors, and Useful Error Messages

Modules and Imports: Splitting Code Into Files

Reading and Writing Files, and the `with` Statement

CSV Files: The Format the Whole Data World Runs On

JSON: How APIs and Python Talk to Each Other

Excel Files, Because Your Client Will Send One

Messy Data, Encodings, and the File That Broke Your Script

Mini Project: Turn a Raw Data Dump Into Clean Records

Why Lists Are Too Slow, and Arrays Are Not

Creating Arrays, Shapes, and dtypes

Indexing and Slicing: Grabbing Exactly What You Need

Vectorised Maths: Doing Away With the Loop

Broadcasting: The Rule That Confuses Everyone Once

Matrices, Axes, and the Shape Errors You Will Definitely Hit

Series and DataFrames: Spreadsheets That Obey Code

Loading CSV and Excel Into a DataFrame

First Look: head, info, describe, and What They Tell You

Selecting, Filtering, and Sorting Rows

Plots With Matplotlib, and the Capstone: Raw File to Real Insight

Live Session Content

This topic will be taught live in an interactive session, allowing you to engage with the instructor and ask questions in real time. While recordings will be available, attending live offers the best learning experience.

Post Session Study Material

This section will be unlocked after the session. You'll get access to exclusive bonus content, additional examples, and on-demand resources to support continuous learning and deeper understanding.

Requirements

What you should have before starting the course.

Basic Python programming knowledge

No AI or ML experience required

A computer with Python installed

Willingness to work with real datasets

Tools you are going to use

VS Code

VS Code

Python

Python

ChatGPT

ChatGPT

Numpy

Numpy

Learn From Expert Instructor

Meet the mentors leading the live sessions.

Aarav Sharma

Aarav Sharma

Senior Frontend Engineer, StudioLabs

Aarav has mentored 1200+ learners and specializes in production UI systems and scalable frontend architecture.

LinkedIn
Ananya Mehta

Ananya Mehta

Design Technologist, CraftLabs

Ananya blends design and code to help learners ship portfolio-ready projects.

LinkedIn
Kabir Sayed

Kabir Sayed

Frontend Mentor, PixelWorks

Kabir focuses on clean code, accessibility, and practical frontend delivery.

LinkedIn

You should join this course if you

Students & Fresh Graduates

Build a strong portfolio

Learn from live mentors

Get feedback on your work

Working Professionals

Upgrade frontend skills

Ship real projects

Join a peer community

Career Switchers

Structured learning path

Hands-on practice

Guided sessions

Freelancers & Creators

Build client-ready sites

Improve delivery speed

Learn modern workflows

What you will get after completing this course

Completion certificate

Receive an official course completion certificate

Earn skill-focused feedback from mentors

Showcase your project in the Shattak community

Access lifetime notes and references

Stay connected with instructors for guidance

Completion bonus

Certificate access, community showcase, and lifetime mentor guidance.

Hear From Learners Who've Taken This Course

Honest feedback from learners who completed the live sessions.

4.9

52

This course gave me a clear understanding of backend development and cloud deployment. Learning Python APIs along with Docker and AWS made the workflow feel very practical. I finally understood how real production systems are built and deployed.

Rahul Verma

Rahul Verma

Backend Developer Intern

4.8

39

The combination of Python backend development and Docker containerization was explained really well. I was able to deploy my first cloud based API on AWS after finishing the project modules. Very practical and industry focused course.

Arjun Patel

Arjun Patel

Software Engineering Student

4.7

41

I had basic Python knowledge but this course helped me understand scalable backend architecture. The lessons on containerization, deployment pipelines and AWS services were very useful for real world development.

Rohit Mehta

Rohit Mehta

Junior Backend Developer

5

57

A very well structured course for learning modern backend engineering. The step by step explanation of APIs, Docker containers and AWS deployment helped me understand how scalable systems actually work in production.

Sneha Kapoor

Sneha Kapoor

Cloud Computing Learner

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Frequently Asked Questions

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Get Life Time Access

₹0

₹399

100% off

Get Life Time Access

₹0

₹399

100% off