Search result for How to learn computer graphics Online Courses & Certifications
Get Course Alerts by Email
Advanced Android with Kotlin
by Murat Yener , Aleks Haeky , Sean McQuillan , Chet Hasse , Meghan Mehta , Lyla Fujiwara , Caren Chang- 0.0
Approx. 2 months
Kotlin is an official language for Android development, and can be used in a variety of other applications, from back-end development to data analysis....
Free
Engagement & Nurture Marketing Strategies
by Randy Hlavac- 4.8
Approx. 9 hours to complete
You'll see real-world best practice examples and learn what metrics they use to gauge success. All of the social skills you have learned thus far will be put into action with a multimedia filter and focus blog that you will create to demonstrate how social can enable real-time marketing results. Welcome to MOOC 3!...
Introduction to Computer Programming
by Dr Edward Anstead , Dr Simon Katan- 4.2
Approx. 21 hours to complete
This MOOC provides you with the foundational skill set required to write computer programs. Then you will learn how to create 2D graphics using shapes and coordinates. Finally, you will learn how to create interactive graphics that you can control with the mouse. How to download and install Brackets How to access and use the console to view errors...
Introduction to Virtual Reality
by Dr Sylvia Xueni Pan , Dr Marco Gillies- 4.7
Approx. 13 hours to complete
This course will introduce you to Virtual Reality (VR). The course will teach you everything from the basics of VR- the hardware and the history of VR- to different applications of VR, the psychology of Virtual Reality, and the challenges of the medium. Summary | How To Choose Your VR HMD Basic Concepts in 3D Computer Graphics...
My Favorite Lectures @ HKUST
by Andrew Horner , King L. Chow , Michelle Yik , Garvin Percy DIAS- 0.0
Approx. 14 hours to complete
Gale Medal for Distinguished Teaching" to commemorate the late Founding Council Member, Mr Michael G. Gale, for his distinguished service and outstanding contributions to the development of the University. 9 How did students react to the talk? 4 How did we study Romantic Love among the Chinese? Introduction to Computer Networking (By Prof....
Deep Learning in Computer Vision
by Anton Konushin , Alexey Artemov- 3.8
Approx. 13 hours to complete
Deep learning added a huge boost to the already rapidly developing field of computer vision. In course project, students will learn how to build face recognition and manipulation system to understand the internal mechanics of this technology, probably the most renown and often demonstrated in movies and TV-shows example of computer vision and AI....
Introduction to Artificial Intelligence (AI)
by Rav Ahuja- 4.7
Approx. 9 hours to complete
This course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not. Natural Language Processing, Speech, Computer Vision Tanmay’s Advice to Learn AI Understand what is AI, its applications and use cases and how it is transforming our lives...
Related searches
Intro to Deep Learning with PyTorch
by Luis Serrano , Alexis Cook , Soumith Chintala , Cezanne Camacho , Mat Leonard- 0.0
Approx. 2 months
Deep learning is driving the AI revolution and PyTorch is making it easier than ever for anyone to build deep learning applications. You’ll be able to use these skills on your own personal projects. Learn the basics of deep learning and implement your own deep neural networks with PyTorch...
Free
Code Yourself! An Introduction to Programming
by Dr Areti Manataki , Inés Friss de Kereki- 4.7
Approx. 12 hours to complete
Have you ever wished you knew how to program, but had no idea where to start from? This course will teach you how to program in Scratch, an easy to use visual programming language. Your First Computer Program Welcome to Code Yourself! Introduction to Scratch How to use the Discussion Forums...
Everyday Excel, Part 2
by Charlie NuttelmanTop Instructor- 4.9
Approx. 22 hours to complete
In this course (Part 2), you will: 1) learn advanced data management techniques; 2) learn how to implement financial calculations in Excel; 3) use advanced tools in Excel (Data Tables, Goal Seek, and Solver) to perform and solve "what-if" analyses; 4) learn how to create mathematical predictive regression models using the Regression tool in Excel....