Udemy – PyTorch for Deep Learning Bootcamp 2025-2

Udemy – PyTorch for Deep Learning Bootcamp 2025-2 Downloadly IRSpace

Apr 17, 2025 - 18:03 Updated: Apr 21, 2025 - 07:52

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Udemy – PyTorch for Deep Learning Bootcamp 2025-2

PyTorch for Deep Learning Bootcamp course. PyTorch course for deep learning. PyTorch is a machine learning and deep learning framework written in Python. PyTorch enables you to create new algorithms and leverage the most advanced deep learning algorithms, such as neural networks, that power many of today’s artificial intelligence (AI) applications. Here’s what you’ll learn in this PyTorch tutorial:

1. PyTorch Fundamentals – We start with the bare basics, so even if you’re a beginner, you’ll be up to speed.

In machine learning, data is represented as a tensor (set of numbers). Learning how to build tensors with PyTorch is very important for building machine learning algorithms. In PyTorch Fundamentals we cover the PyTorch tensor data type in depth.

2. PyTorch Workflow – OK, you’ve got the basics down, and built some tensors to represent the data, but now what?

With PyTorch Workflow you will learn the steps from Data -> Tensors -> Trained Neural Network Model. You will see and use these steps wherever you encounter PyTorch code, as well as for the rest of the course.

3. PyTorch Neural Network Classification – Classification is one of the most common machine learning problems.

Is something one thing or something else?
Is the email spam or not?
Is a credit card transaction fraud or not?

With PyTorch Neural Network Classification you will learn how to code a neural network classification model using PyTorch so that you can classify items and answer these questions.

4. PyTorch Computer Vision – Neural networks have changed the game of computer vision forever. And now PyTorch drives many of the latest developments in computer vision algorithms.

For example, Tesla uses PyTorch to build computer vision algorithms for its self-driving software.

With PyTorch Computer Vision you will build a PyTorch neural network that is able to see patterns in images and classify them into different categories.

And it’s the most comprehensive online bootcamp to learn PyTorch and start your career as a deep learning engineer.

So why wait? Advance your career and get paid more by mastering PyTorch and adding deep learning to your toolbox?

What you will learn in the PyTorch for Deep Learning Bootcamp course

Everything from getting started using PyTorch to building your own real-world models
Learn how to integrate Deep Learning into tools and applications
Build and deploy your own custom trained PyTorch neural network that is publicly accessible
Master deep learning and become a top candidate for recruiters looking for deep learning engineers
The skills you need to become a deep learning engineer and get hired with the chance to earn $100,000 per year.
Why PyTorch is a great way to get started in machine learning
Create and use machine learning algorithms just like writing a Python program
How to take data, build an ML algorithm to find patterns, and then use that algorithm as an artificial intelligence to improve our applications.
To expand machine learning and deep learning skills and toolset

This course is suitable for people who

Anyone who wants a step-by-step guide to learning PyTorch can get hired as a deep learning engineer making over $100,000 a year.
Students, developers, and data scientists who want to demonstrate practical machine learning skills by building and training real-world models using PyTorch.
Anyone looking to expand their knowledge and tools in the field of artificial intelligence, machine learning, and deep learning
PyTorch online or bootcamp graduates who want to go beyond the basics
Students who are frustrated with their current progress with all the PyTorch beginner tutorials that don’t go beyond the basics and don’t give you the real-world skills or practice to actually get hired.

PyTorch for Deep Learning Bootcamp course specifications

Publisher: Udemy
Lecturer: Andrei Neagoie , Daniel Bourke
Training level: beginner to advanced
Training duration: 52 hours and 14 minutes
Number of courses: 358

Topics of the PyTorch for Deep Learning Bootcamp course

Prerequisites of the PyTorch for Deep Learning Bootcamp course

A computer (Linux/Windows/Mac) with an internet connection is required
Basic Python knowledge is required
Previous Machine Learning knowledge is recommended, but not required (we provide sufficient supplementary resources to get you up to speed!)

Course images

Sample video of the course

Installation guide

After Extract, view with your favorite Player.

English subtitle

Quality: 720p

The 2025/2 version has not changed in terms of the number of lessons and time compared to 2023/6, but it has been updated after 2 years.

Udemy – PyTorch for Deep Learning Bootcamp 2025-2