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

Deep Learning and Reinforcement Learning (Coursera) Coursera
IBM

Deep Learning and Reinforcement Learning (Coursera)

This course introduces you to two of the most sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning is a subset of Machine Learning that has applications in both Supervised and Unsupervised Learning, and is frequently used to power most of the AI applications that we use on a daily basis. First you will learn about the theory behind Neural Networks, which are the basis of Deep Learning, as well as several modern architectures of Deep Learning.

Aug 31st 2026
5-12 Weeks
More C# Programming and Unity (Coursera) Coursera
University of Colorado System

More C# Programming and Unity (Coursera)

This course is the second course in the specialization about learning how to develop video games using the C# programming language and the Unity game engine on Windows or Mac. Why use C# and Unity instead of some other language and game engine? Well, C# is a really good language for learning how to program and then programming professionally. Also, the Unity game engine is very popular with indie game developers; Unity games were downloaded 16,000,000,000 times in 2016! Finally, C# is one of the programming languages you can use in the Unity environment.

Aug 31st 2026
4 Weeks
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 with Google Cloud (Udacity) Udacity
Udacity,Google Cloud

Create Image Captioning Models with Google Cloud (Udacity)

Learn how to create, train, and evaluate an image captioning model by using deep learning. 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.

Self Paced
Self-Paced
Customising your models with TensorFlow 2 (Coursera) Coursera
Imperial College London

Customising your models with TensorFlow 2 (Coursera)

Welcome to this course on Customising your models with TensorFlow 2! In this course you will deepen your knowledge and skills with TensorFlow, in order to develop fully customised deep learning models and workflows for any application. You will use lower level APIs in TensorFlow to develop complex model architectures, fully customised layers, and a flexible data workflow. You will also expand your knowledge of the TensorFlow APIs to include sequence models.

Aug 31st 2026
5-12 Weeks
Recommender Systems (Coursera) Coursera
Sungkyunkwan University - SKKU

Recommender Systems (Coursera)

In this course you will: a) understand the basic concept of recommender systems; b) understand the Collaborative Filtering; c) understand the Recommender System with Deep Learning; d) understand the Further Issues of Recommender Systems. Please make sure that you’re comfortable programming in Python and have a basic knowledge of mathematics including matrix multiplications, conditional probability, and basic machine learning algorithms.

Sep 14th 2026
4 Weeks
Neural Networks and Deep Learning (Coursera) Coursera
DeepLearning.AI

Neural Networks and Deep Learning (Coursera)

If you want to break into cutting-edge AI, this course will help you do so. Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities. Deep learning is also a new "superpower" that will let you build AI systems that just weren't possible a few years ago. In this course, you will learn the foundations of deep learning.

Aug 31st 2026
4 Weeks
New Technologies for Business Leaders (Coursera) Coursera
Rutgers University

New Technologies for Business Leaders (Coursera)

This introductory course is developed for high-level business people (and those on their way) who want a broad understanding of new Information Technologies and understand their potential for business functions (e.g. marketing, supply change management, finance). This is not a course for people looking for guidance on how to become a deep technical expert or implement these technologies.

Aug 31st 2026
5-12 Weeks