PyTorch for Deep Learning & Machine Learning - Full Course (26 hours)

By freeCodeCamp | Free Course on YouTube

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Created by Qasrawii Academy
Last updated 3/2026 EN Intermediate 337 min total

What you'll learn

Massive 26-hour deep learning course by Daniel Bourke covering tensors, neural networks, computer vision, transfer learning, and building ML projects with PyTorch.

Course Content

5 sections • 47 lessons • 337m total length

Getting Started

10 lessons
PyTorch for Deep Learning with Python Bootcamp | 01 | Intro Preview
2:00
PyTorch for Deep Learning with Python Bootcamp | 02 | Get Started with the Python Data Science Preview
11:00
PyTorch for Deep Learning with Python Bootcamp | 03 | Anaconda for Mac Users Preview
4:00
PyTorch for Deep Learning with Python Bootcamp | 04 | Why PyTorch?
10:00
PyTorch for Deep Learning with Python Bootcamp | 05 | Installing PyTorch
4:00
PyTorch for Deep Learning with Python Bootcamp | 06 | Further Installation Instructions for Mac
1:00
PyTorch for Deep Learning with Python Bootcamp | 07 | Working with Google CoLab
7:00
PyTorch for Deep Learning with Python Bootcamp | 08| Python Packages for Data Science
3:00
PyTorch for Deep Learning with Python Bootcamp | 09 | Introduction to Numpy
4:00
PyTorch for Deep Learning with Python Bootcamp | 10 | Create Numpy Arrays
11:00

Fundamentals

10 lessons
PyTorch for Deep Learning with Python Bootcamp | 11 | Create Numpy Arrays
11:00
PyTorch for Deep Learning with Python Bootcamp | 12 | Numpy for Basic Vector Arithmetric
6:00
PyTorch for Deep Learning with Python Bootcamp | 13 | Numpy for Basic Matrix Arithmetic
7:00
PyTorch for Deep Learning with Python Bootcamp | 14 | PyTorch Basics What Is a Tensor?
3:00
PyTorch for Deep Learning with Python Bootcamp | 15 | Explore PyTorch Tensors and Numpy Arrays
4:00
PyTorch for Deep Learning with Python Bootcamp | 16 | Basic PyTorch Tensor Operations
4:00
PyTorch for Deep Learning with Python Bootcamp | 17 | Read in CSV data
6:00
PyTorch for Deep Learning with Python Bootcamp | 18 | Read in Excel data
6:00
PyTorch for Deep Learning with Python Bootcamp | 19 | Basic Data Exploration with Pandas
11:00
PyTorch for Deep Learning with Python Bootcamp | 20 | Ordinary Least Squares OLS Regression Theory
11:00

Core Concepts

10 lessons
PyTorch for Deep Learning with Python Bootcamp | 21 | OLS Linear Regression Without PyTorch
11:00
PyTorch for Deep Learning with Python Bootcamp | 22 | OLS Linear Regression
13:00
PyTorch for Deep Learning with Python Bootcamp | 23 | OLS Linear Regression With PyTorch
5:00
PyTorch for Deep Learning with Python Bootcamp | 24 | OLS With PyTorch
11:00
PyTorch for Deep Learning with Python Bootcamp | 25 | Generalised Linear Models GLMs Theory
5:00
PyTorch for Deep Learning with Python Bootcamp | 26 | Logistic Regression Without PyTorch
5:00
PyTorch for Deep Learning with Python Bootcamp | 27 | Logistic Regression With PyTorch
5:00
PyTorch for Deep Learning with Python Bootcamp | 28 | Introduction to ANN
9:00
PyTorch for Deep Learning with Python Bootcamp | 29 | PyTorch ANN Syntax
5:00
PyTorch for Deep Learning with Python Bootcamp | 30 | What Are Activation Functions Theory?
6:00

Intermediate Topics

10 lessons
PyTorch for Deep Learning with Python Bootcamp | 31 | Backpropagation
10:00
PyTorch for Deep Learning with Python Bootcamp | 32 | Bringing Backpropagation and ANN Together
15:00
PyTorch for Deep Learning with Python Bootcamp | 33 | Setting Up ANN Analysis with PyTorch
6:00
PyTorch for Deep Learning with Python Bootcamp | 34 | DNN Analysis with PyTorch
11:00
PyTorch for Deep Learning with Python Bootcamp | 35 | DNNs with Pytorch
9:00
PyTorch for Deep Learning with Python Bootcamp | 36 | DNNs For Identifying Credit Card Fraud
10:00
PyTorch for Deep Learning with Python Bootcamp | 37 | An Explanation of Accuracy Metrics
4:00
PyTorch for Deep Learning with Python Bootcamp | 38 | Images Processing
5:00
PyTorch for Deep Learning with Python Bootcamp | 39 | Read in Image in Python
8:00
PyTorch for Deep Learning with Python Bootcamp | 40 | Basic Image Conversions
3:00

Advanced Concepts

7 lessons
PyTorch for Deep Learning with Python Bootcamp | 44 | What is CNN?
11:00
PyTorch for Deep Learning with Python Bootcamp | 46 | What is CNN? III
5:00
PyTorch for Deep Learning with Python Bootcamp | 45 | Implement CNN on Imagery Data II
8:00
PyTorch for Deep Learning with Python Bootcamp | 47 | Introduction to Transfer Learning Theory
8:00
PyTorch for Deep Learning with Python Bootcamp | 48 | Implement CNN Using a Pre Trained Model IV
7:00
PyTorch for Deep Learning with Python Bootcamp | 42 | ANN For Image Classification
11:00
PyTorch for Deep Learning with Python Bootcamp | 43 | DNN For Image Classification
5:00

Description

Massive 26-hour deep learning course by Daniel Bourke covering tensors, neural networks, computer vision, transfer learning, and building ML projects with PyTorch.

Original course by freeCodeCamp. Curated and organized for optimal learning on Qasrawii LMS.

Requirements

  • A computer with internet access
  • Willingness to learn

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This course includes:

47 lessons
337 minutes of content
Intermediate level
EN
Full lifetime access
Certificate of completion