This PyTorch course is very hands-on and project based. You won’t just be staring at your screen. We’ll leave that for other PyTorch tutorials and courses.
Author: Andrei Neagoie, Daniel Bourke, Zero To Mastery
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DESCRIPTION
What is PyTorch and why should I learn it?
PyTorch is a machine learning and deep learning framework written in Python.
PyTorch enables you to craft new and use existing state-of-the-art deep learning algorithms like neural networks powering much of today’s Artificial Intelligence (AI) applications.
Plus it’s so hot right now, so there’s lots of jobs available!
PyTorch is used by companies like:
- Tesla to build the computer vision systems for their self-driving cars
- Meta to power the curation and understanding systems for their content timelines
- Apple to create computationally enhanced photography.
Want to know what’s even cooler?
Much of the latest machine learning research is done and published using PyTorch code so knowing how it works means you’ll be at the cutting edge of this highly in-demand field.
And you’ll be learning PyTorch in good company.
Graduates of Zero To Mastery are now working at Google, Tesla, Amazon, Apple, IBM, Uber, Meta, Shopify + other top tech companies at the forefront of machine learning and deep learning.
Most importantly, you will be learning PyTorch from a professional machine learning engineer, with real-world experience, and who is one of the best teachers around!
In this course you’ll actually be:
- Running experiments
- Completing exercises to test your skills
- Building real-world deep learning models and projects to mimic real life scenarios
By the end of it all, you’ll have the skillset needed to identify and develop modern deep learning solutions that Big Tech companies encounter.
WHO IS THIS COURSE FOR:
- Anyone who wants a step-by-step guide to learning PyTorch and be able to get hired as a Deep Learning Engineer making over $100,000 / year
- Students, developers, and data scientists who want to demonstrate practical machine learning skills by actually building and training real models using PyTorch
- Anyone looking to expand their knowledge and toolkit when it comes to AI, Machine Learning and Deep Learning
- Bootcamp or online PyTorch tutorial graduates that want to go beyond the basics
- Students who are frustrated with their current progress with all of the beginner PyTorch tutorials out there that don’t go beyond the basics and don’t give you real-world practice or skills you need to actually get hired
REQUIREMENTS
- 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!)
4. WHAT WILL YOU LEARN
- Everything from getting started with using PyTorch to building your own real-world models
- Understand how to integrate Deep Learning into tools and applications
- Build and deploy your own custom trained PyTorch neural network accessible to the public
- Master deep learning and become a top candidate for recruiters seeking Deep Learning Engineers
- The skills you need to become a Deep Learning Engineer and get hired with a chance of making US$100,000+ / year
- Why PyTorch is a fantastic way to start working in machine learning
- Create and utilize machine learning algorithms just like you would write a Python program
- How to take data, build a ML algorithm to find patterns, and then use that algorithm as an AI to enhance your applications
- To expand your Machine Learning and Deep Learning skills and toolkit
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