PyTorch for Deep Learning & Machine Learning

About this course

This 25-hour course by Daniel Bourke is one of the most comprehensive free PyTorch tutorials available online. PyTorch is the deep learning framework of choice for researchers and production teams building AI applications—from language models to computer vision systems. Whether you're preparing for a machine learning career or building your own AI projects, this course gives you the foundation in a tool used across top tech companies and startups in India.

What you'll learn

• PyTorch fundamentals: tensors, gradients, and automatic differentiation for building neural networks
• Building and training deep learning models from scratch using PyTorch's core APIs
• Convolutional Neural Networks (CNNs) for image classification and computer vision tasks
• Recurrent Neural Networks (RNNs) and Transformers for sequential data and NLP
• Transfer learning: adapting pre-trained models to solve real-world problems efficiently
• Debugging, optimizing, and deploying PyTorch models in production environments
• Hands-on projects that build a portfolio-ready deep learning project

Who this is for

This course is ideal if you already have Python basics and some math comfort (algebra, calculus). You don't need prior deep learning experience—the course builds from foundations.

• College students and engineering graduates — develop deep learning expertise to stand out in campus placements and early-career roles at AI teams
• Career changers and self-taught programmers — transition into machine learning engineering with a skill set that matches industry demand
• Researchers and academic learners — master the tool used in published papers and cutting-edge AI research

Prerequisites

You should know Python basics (functions, loops, libraries like NumPy and Pandas). Familiarity with linear algebra and calculus helps but isn't mandatory—the course reviews concepts as needed.

Why this matters for Indian learners

Machine learning and AI engineering roles in India are growing fast—from startups to enterprises like Flipkart, BYJU'S, and OYO, plus global tech centers in Bangalore and Pune. PyTorch skills directly improve your employability: mid-level ML engineers in India typically earn ₹12–20 lakhs annually, and those with strong production ML experience command significantly more. This free course lets you build genuine expertise without the ₹2–5 lakh price tag of bootcamps, giving you a real edge in interviews.

Frequently asked questions

Is this course really free?

Yes. It's hosted on YouTube by freeCodeCamp and requires no payment or premium upgrade. All 25 hours of video and code examples are completely free to access.

How long will it take to complete?

The course is 25 hours of video. If you dedicate 5 hours per week with hands-on practice, you'll finish in about 5 weeks. Many learners spread it over 2–3 months while working through projects in parallel.

Will I get a certificate?

This course does not offer an official certificate of completion. However, the best credential is the projects you build and code you write—those speak louder to employers than any badge.