Machine Learning with Python Programming

LIVE

40 Hours

₹ 40,000 per month.

₹ 60,000 1-on-1 Class

Just Pay ₹5,000 to Register

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Course offered by Harsh Kumar

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overview batches reviews

This course takes you from absolute zero to building real-world Machine Learning and AI projects using Python — no prior programming experience needed.

You will start with Python fundamentals, build a strong foundation in data analysis, and progressively move into core Machine Learning algorithms, Deep Learning, and modern AI concepts including LLMs and Prompt Engineering. Every topic is taught with hands-on projects so you are always building, not just watching.

By the end of this program, you will be able to build, train, and deploy ML models — and work confidently with the AI tools shaping the industry today.

What you will learn

Python programming from scratch
Data Analysis with Pandas and NumPy
Data Visualisation with Matplotlib and Seaborn
Core ML algorithms — Regression, Classification, Clustering
Model evaluation and feature engineering
Deep Learning with Neural Networks
Natural Language Processing (NLP)
Large Language Models (LLMs) and Prompt Engineering
End-to-end AI project development

Who this is for

Complete beginners with no coding background
CS students looking to break into AI/ML
Working professionals who want to upskill into data science and AI

About the Trainer

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Harsh Kumar

Bachelor of Technology (B.Tech.) from Ganpat University in 2023

4 Years of Experience

I help beginners and early-stage developers learn JavaScript and the MERN stack in a clear, practical, and structured way.
My focus is on strong fundamentals and real-world projects so students can confidently build applications instead of just watching tutorials.
I explain concepts in a simple manner, relate them to real use cases, and guide students step by step until they are comfortable applying what they learn.
I have hands-on experience with MongoDB, Express.js, React.js, and Node.js, covering both frontend and backend development.
My teaching approach is project-based and personalized. Sessions are adapted based on the student’s goal, whether it is learning from scratch, building projects, improving problem-solving, or preparing for interviews.
This is suitable for beginners, computer science students, and developers who know basics but struggle to build real-world applications.
I have over 4 years of online teaching experience and have worked with multiple students across JavaScript and the MERN stack.
Students appreciate my clear explanations, patience, and practical learning approach. I have testimonies to support this, check below.
If you are looking for structured guidance and hands-on learning in JavaScript or MERN stack development, I will be happy to help.