Computer science is a broad and fundamental part of the greater technology industry. New online programs offer students the ability to learn from anywhere, to get involved in computer science as it is applied to many new technology fields such as machine learning, artificial intelligence and virtual reality. Here are ten great online courses to think about if you’re interested in this type of professional career.
This list of courses comes from edX, an online platform that offers high-quality courses from top universities around the world. Best of all? Many of these courses are free to take, and offer certification for a fee.
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Agile software development has become a major force in how software is created and released to markets. This computer science course goes over the agile manifesto and key methodologies, as well as the traditional role of a software professional. It provides practical tools for agile development, and talks about the pros and cons of various agile methods. This is a good choice for those who want to learn about the context of the full software development life cycle.
As one of the most popular object-oriented programming languages of the past 30 years, C# is an indispensable part of the traditional C suite of languages. It is seen as a mainstay of programming, along with languages like Java and Python.
This course provides students with a good basis on C# syntax, language fundamentals and the ability to evaluate and explore a C# codebase.
Although some experts suggest there are better programming languages for machine learning and artificial intelligence work, C# is still very much a part of enterprise computing. That makes this course instructive both as a starting point for object-oriented learning, and as a resource for deeper involvement in these key technology fields.
This Java course is part of Microsoft’s Professional Program and goes over many elements of using Java as an object-oriented language in practice. Coursework will cover single and two-dimensional arrays, Java list implementations, best practices and the use of abstract classes, in addition to other elements of using Java in diverse professional development goals.
This is another part of the Microsoft Professional Program that focuses on Node.js for network administration and development. Learn about front-end and back-end web app development, database procedures and the use of SQL for data retrieval. HTTP and web routing, Azure deployment and other aspects of this professional toolkit are also treated in this course which prepares the student for deeper diving into the world of networking and database development.
Moving on in Microsoft’s Professional Program offerings, students in this DevOps course will learn about test-driven development as well as unit testing, API tests, performance testing and more. Microsoft tools such as Visual Studio and Microsoft Test Manager will be useful in hands-on elements of testing and design, and students will get a good grounding to pursue further knowledge of DevOps and how it applies to software testing processes. (To learn more about DevOps, see DevOps Managers Explain What They Do.)
Microsoft also offers a course dedicated to the use of algorithms and data structures, which is valuable in today’s industry. As machine learning and artificial intelligence make their way into the computer science world, the algorithms that they are dependent on are very much a focus. Learn about data structures, sorting, algorithm analysis and “going under the hood” of functional algorithms in addition to a developer tool kit. This is a good choice for those who are involved in parsing the work that vanguard developers have done with neural networks and machine learning systems.
This course is dedicated to exploring the use of DevOps in database design and incorporating databases into DevOps software development.
Syllabus items include a look at version control systems, continuous integration and unit testing as well as release management for databases. Learn about branching and merging database code, crossing database deficiencies, dark launching, error handling and more. Items like continuous integration show how this course is concretely useful to developers and other career professionals involved in DevOps in the database world.
Finally, in this MS Azure-focused course, students can learn about the use and design of virtual networks through a brand name vendor system that is dominant in enterprise. Use the power of the cloud to set up systems, and explore Azure DNS, Load Balancer, Azure Traffic Manager, Application Gateway and other resources. Instructors Cynthia Staley, Tony Jamieson and Corey Hynes take students through connecting local workstations to Azure Cloud, and much more, for a thorough look at what virtualization has brought the business world over just a few years. (For more on Azure, see What Microsoft Azure Can and Can’t Do to Help Your On-Premise Active Directory.)
Any of these computer science course offerings are a great way to wade into technology with a firm foundation in some of the most interesting new technologies in the current IT landscape. Take a look and figure out what’s most likely to help you advance in a tech-related career.
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