Upcoming Paid Online Courses (5)

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Starts : 2017-07-03 in 8 days
15 votes
Open2Study Free Computer Sciences

Learn how you can predict customer demand and preferences by using the data that is all around you.

Starts : 2017-07-03 in 8 days
No votes
Open2Study Free Computer Sciences

Explore key ideas in game design, programming, architecture, game engines, player experience and game AI.

Starts : 2017-07-03 in 8 days
13 votes
Open2Study Free Computer Sciences

Learn to create great experiences for people visiting websites, with proven tools and techniques.

Starts : 2017-07-11 in 16 days
367 votes
edX Free Computer Sciences English Computer Science EdX UC BerkeleyX

Part 2 of the UC Berkeley Agile Development Using Ruby on Rails XSeries Program will teach you to use JavaScript to enhance applications and create more sophisticated apps by adding relationships between models within the Ruby on Rails framework. You will also learn about what happens after the apps are deployed to real users, including how to monitor performance, identify and fix common performance problems, and avoid compromising customer data. Finally, learners will see how to apply Agile techniques to enhance and refactor legacy code and practice app deployment to real users to monitor performance, identify and fix common performance problems, and avoid compromising customer data. 

Other topics covered in this software engineering course include:

  • How to form, organize and manage small programming teams
  • Introduction to design patterns: what they are and how to recognize opportunities to apply them
  • Using Rails for more advanced features like third-party authentication and elegantly expressing design patterns that arise frequently in SaaS

There will be four homework assignments: two programming assignments, an open source assignment and one assignment about operations/deployment. There will also be several short quizzes. The videos and homework assignments used in this offering of the course were revised in October 2016.

Starts : 2017-07-29 in 34 days
527 votes
edX Free Computer Sciences English ColumbiaX Computer Science EdX

What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common?

They are all complex real world problems being solved with applications of intelligence (AI).

This course will provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems.

You will learn about the history of AI, intelligent agents, state-space problem representations, uninformed and heuristic search, game playing, logical agents, and constraint satisfaction problems.

Hands on experience will be gained by building a basic search agent. Adversarial search will be explored through the creation of a game and an introduction to machine learning includes work on linear regression.