Online courses directory (19947)

Using both 3ds Max and ZBrush, learn how to sculpt, UV, and texture a flawlessly tiling stone floor!

This course helps innovators, managers and entrepreneurs to create valuable innovations. By using the structured approach offered to you in the course, win-win situations can be created for the organisation and their customers.

VideoX is an introduction to the video creation process for edX.org. This course is part of the edX Course Creator XSeries and should be taken after completing StudioX.

After completing this course, you will be able to:

• identify best practices for video production and implement them in your edX course,
• recognize common pitfalls in the video production process and determine how to avoid such difficulties,
• train your instructor on edX best practices, including edX course segmentation and how to present content on-camera,
• create an effective plan for video production that accounts for time, resources and your production team's abilities,
• identify the main recording methods used in video production, understand what each method involves (in terms of technical, physical and logistical considerations) and employ them to create high-quality, impactful videos,
• utilize non-linear editing systems to manipulate your raw footage and incorporate graphics, animations and third-party media to produce polished video segments,
• describe the editing process from start to finish,
• encode your finished videos, upload them to edX and incorporate them into your course, and
• how to work with instructors - segmentation and how to talk to the camera

VideoX is a course for everyone and does not require any previous experience in video production. So what are you waiting for? Get started today!

CMS.611J / 6.073 Creating Video Games is a class that introduces students to the complexities of working in small, multidisciplinary teams to develop video games. Students will learn creative design and production methods, working together in small teams to design, develop, and thoroughly test their own original digital games. Design iteration across all aspects of video game development (game design, audio design, visual aesthetics, fiction and programming) will be stressed. Students will also be required to focus test their games, and will need to support and challenge their game design decisions with appropriate focus testing and data analysis.

CMS.611J / 6.073 Creating Video Games is a class that introduces students to the complexities of working in small, multidisciplinary teams to develop video games. Students will learn creative design and production methods, working together in small teams to design, develop, and thoroughly test their own original digital games. Design iteration across all aspects of video game development (game design, audio design, visual aesthetics, fiction and programming) will be stressed. Students will also be required to focus test their games, and will need to support and challenge their game design decisions with appropriate focus testing and data analysis.

You and your kids can easily learn how to make a side scrolling space "shoot-em-up" for your Mac.

Build professional VR apps using Unity 3D, a powerful cross-platform 3D engine that provides a user-friendly development environment. In this course, part of the Virtual Reality Professional Certificate program, you will learn how to build a VR engine from the ground up, so you fully understand the entire rendering pipeline from 3D model to pixels in the VR display. We will also cover motion prediction, 3D stereo, lens distortion, time warp and other optimizations for a fluid, realistic VR experience.

You will also learn how to implement the most important VR interaction concepts such as selection, manipulation, travel, wayfinding, menus, and text input in Unity.

Unity is a GUI based programming environment, in which much of the programming can be done through dialog windows. It also supports scripts written in C#, which as we will show will allow for more complex VR functionality.

What you learn about VR programming in this course will help you write VR games, architectural walkthroughs, engineering simulations, 3D data viewers, medical training applications, and many more..

Learn the basics of HTML so you can design, create, and post your very own site on the Web.

Using Adobe Dreamweaver CC with CSS, Html, FTP, Images and Responsive Design, and Dreamweavers Built in Tools

Create easy website headers, blog images, eBooks, Facebook Headers, Presentation slides, infographics + more!

Learn all the fundamentals and many of the not-so-obvious aspects of coding WordPress plugins for fun or profit.

Discover how to easily create blogs and websites with WordPress, the world's most popular Web publisher.

This series of courses will take you from having zero experience and knowledge of web design to more advanced techniques.

Failure to Plan Means You Plan to Fail

Go from zero to expert with a real life internet marketer.

This course introduces you to deep learning: the state-of-the-art approach to building artificial intelligence algorithms. We cover the basic components of deep learning, what it means, how it works, and develop code necessary to build various algorithms such as deep convolutional networks, variational autoencoders, generative adversarial networks, and recurrent neural networks. A major focus of this course will be to not only understand how to build the necessary components of these algorithms, but also how to apply them for exploring creative applications. We'll see how to train a computer to recognize objects in an image and use this knowledge to drive new and interesting behaviors, from understanding the similarities and differences in large datasets and using them to self-organize, to understanding how to infinitely generate entirely new content or match the aesthetics or contents of another image. Deep learning offers enormous potential for creative applications and in this course we interrogate what's possible. Through practical applications and guided homework assignments, you'll be expected to create datasets, develop and train neural networks, explore your own media collections using existing state-of-the-art deep nets, synthesize new content from generative algorithms, and understand deep learning's potential for creating entirely new aesthetics and new ways of interacting with large amounts of data.

This course extends the course material from the first course on Creative Applications of Deep Learning, providing an updated landscape on the state of the art techniques in recurrent neural networks. We'll see how to use recurrent networks for modeling and generating images, text, handwriting, and attention. We begin by recapping what we've done up until now and show how to extend our practice to the cloud where we can make use of much better hardware including state-of-the- art GPU clusters. We'll also see how the models we train can be deployed for production environments. The techniques learned here will give us a much stronger basis for developing even more advanced algorithms in the final course of the program.

This course extends our existing background in Deep Learning to state of the art techniques in audio, image and text modeling. We'll see how dilated convolutions can be used to model long term temporal dependencies efficiently using a model called WaveNet. We'll also see how to inspect the representations in deep networks using a deep generator network, leading to some of the strongest insights into deep networks and the representations they learn. We'll then switch gears to one of the most exciting directions in Deep Learning thus far: Reinforcement Learning. We'll take a brief tour of this fascinating topic and explore toolkits released by OpenAI, DeepMind, and Microsoft. Finally, we're teaming up with Google Brain's Magenta Lab for our last session on Music and Art Generation. We'll explore Magenta's libraries using RNNs and Reinforcement Learning to create generative and improvised music.

In this course you will learn the essentials of programming real-time audio software, applying these skills to making your own audio devices, and more generally the exciting world of the Internet of Things. You will use the Raspberry Pi as a rapid prototyping platform, exploring the creative potential of real-time sensor and network interaction, combined with real-time sound generation, creating systems that respond to sensor input, communicate with other devices and play sound. Make your own musical instruments, develop devices for sonic artworks, and create new sound design concepts for sonifying everyday objects. Through this course you will develop a basic understanding of audio programming and the core concepts behind programming for the Internet of Things. You will be able to conceptualize and design your own innovative interactive devices.

This course introduces computer programming as a creative discipline to generate sounds, images, animation and more.