Introduction to Virtual Reality (Udacity)

Offered by Udacity, Google VR,
Introduction to Virtual Reality (Udacity)

Learn about the basics of VR. This course is designed for students who are new to virtual reality and want to learn about the principles of VR technology including optics, displays, stereopsis, tracking, and major hardware platforms. You don’t need any programming experience to get started.

Class Deals by MOOC List - Click here and see Udacity's Active Discounts, Deals, and Promo Codes.

By the end of this course, you will have created and deployed a VR application. You will understand the physical principles of VR and you will use that knowledge to create a comfortable, high-performance VR application using Unity.
The journey to becoming a VR developer starts with mastering the underlying hardware and software principles. This course covers the foundational skills needed to produce professional VR experiences that are comfortable, polished, and performant.
VR development is an amazing career, with both demand and salaries rising. Every innovative VR professional relies on a core set of tools and principles. If you’re going to succeed, then you need to master them, too.

What You Will Learn

Lesson 1
What is VR?

  • Learn the basic history of VR development
  • Learn the physical principles of VR including display optics and orientation tracking
  • Understand how comfort & presence play a role in VR development

Lesson 2
Platforms & Paradigms

  • Learn the difference between native game engines and web platforms
  • Learn how tracking in VR works
  • Learn about the different platforms currently available for VR development

Lesson 3
Hello World

  • Learn about to install and open a project in the Unity platform
  • Learn how to view inspect and gain a basic understanding of the Unity platform interface
  • Install and open an app in Google cardboard

Prerequisites and Requirements
No programming experience is required. If you are new to virtual reality, and ready to start learning about this amazing technology, then this is the perfect place to begin! We will teach and use the Unity platform to edit a VR app, so you should have access to a computer running Mac OS X (10.8+) or Windows (7, 8, or 10).

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Convolutional Neural Networks (Coursera) Coursera
DeepLearning.AI

Convolutional Neural Networks (Coursera)

This course will teach you how to build convolutional neural networks and apply it to image data. Thanks to deep learning, computer vision is working far better than just two years ago, and this is enabling numerous exciting applications ranging from safe autonomous driving, to accurate face recognition, to automatic reading of radiology images.

Sep 21st 2026
4 Weeks
VR Interview Prep (Udacity) Udacity
Udacity,Google

VR Interview Prep (Udacity)

Confidently take on the tech interview. This course is an excellent way to prepare for technical interviews. You’ll experience a mock interview, and review detailed analysis on how to field key industry questions. You'll review common VR Developer interview topics, including 3D graphics and scene optimization. You'll also learn best practices for answering behavioral questions and solving whiteboard problems. Upon completing this course, you’ll be ready to showcase your skills during your VR Developer interview!

Self Paced
Self-Paced
Intro to Deep Learning with PyTorch (Udacity) Udacity
Udacity,Facebook

Intro to Deep Learning with PyTorch (Udacity)

Use PyTorch to implement your first deep neural network. In this course, you’ll learn the basics of deep learning, and build your own deep neural networks using PyTorch. You’ll get practical experience with PyTorch through coding exercises and projects implementing state-of-the-art AI applications such as style transfer and text generation.

Self Paced
Self-Paced
Create Image Captioning Models (Coursera) Coursera
Google Cloud

Create Image Captioning Models (Coursera)

This course teaches you how to create an image captioning model by using deep learning. You learn about the different components of an image captioning model, such as the encoder and decoder, and how to train and evaluate your model. By the end of this course, you will be able to create your own image captioning models and use them to generate captions for images.

Sep 21st 2026
1 Week
Machine Learning (Coursera) Coursera
Stanford University

Machine Learning (Coursera)

Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that you probably use it dozens of times a day without knowing it. Many researchers also think it is the best way to make progress towards human-level AI. In this class, you will learn about the most effective machine learning techniques, and gain practice implementing them and getting them to work for yourself. More importantly, you'll learn about not only the theoretical underpinnings of learning, but also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.

Sep 21st 2026
5-12 Weeks
Deep Learning for Business (Coursera) Coursera
Yonsei University

Deep Learning for Business (Coursera)

Your smartphone, smartwatch, and automobile (if it is a newer model) have AI (Artificial Intelligence) inside serving you every day. In the near future, more advanced “self-learning” capable DL (Deep Learning) and ML (Machine Learning) technology will be used in almost every aspect of your business and industry. So now is the right time to learn what DL and ML is and how to use it in advantage of your company. This course has three parts, where the first part focuses on DL and ML technology based future business strategy including details on new state-of-the-art products/services and open source DL software, which are the future enablers.

Sep 21st 2026
5-12 Weeks
Introduction to Deep Learning (Coursera) Coursera
University of Colorado Boulder

Introduction to Deep Learning (Coursera)

Deep Learning is the go-to technique for many applications, from natural language processing to biomedical. Deep learning can handle many different types of data such as images, texts, voice/sound, graphs and so on. This course will cover the basics of DL including how to build and train multilayer perceptron, convolutional neural networks (CNNs), recurrent neural networks (RNNs), autoencoders (AE) and generative adversarial networks (GANs).

Sep 21st 2026
5-12 Weeks
Machine Learning: Concepts and Applications (Coursera) Coursera
University of Chicago

Machine Learning: Concepts and Applications (Coursera)

This course gives you a comprehensive introduction to both the theory and practice of machine learning. You will learn to use Python along with industry-standard libraries and tools, including Pandas, Scikit-learn, and Tensorflow, to ingest, explore, and prepare data for modeling and then train and evaluate models using a wide variety of techniques. Those techniques include linear regression with ordinary least squares, logistic regression, support vector machines, decision trees and ensembles, clustering, principal component analysis, hidden Markov models, and deep learning.

Sep 21st 2026
5-12 Weeks