Linux Academy is Fort Worth based online training academy, teaching cloud and engineering technical skills to companies worldwide. Engineers from companies like AWS, Rackspace, Media Temple, and MailChimp receive training from Linux Academy’s full-featured training library of long and in-depth courses. Whether you’re wanting to learn Linux, Azure & AWS, Openstack, or DevOps, there’s something for everyone here.
Membership is only $30 per month. It includes the entire library of video courses and a plethora of other education tools. Tools such as labs and exercises, instructor mentoring, learning plans, practice exams and quizzes, certification training, phone apps, and access to the online member community. For team training, they provide discounted membership, along with custom training and tools to help you monitor your team’s progress and measure their proficiency levels.
Linux Academy is so dedicated to educating, that they provide discounts for university student memberships. They also offer free memberships to professors to use any of the material library for their instruction.
For a sample of the wealth of knowledge provided by Linux Academy, you can take a look at their blog, which often offers detailed training on a variety of subjects.
Their blog post on AWS CodePipeline (a continuous delivery service with tools to see and automate the software release process) gives a scenario in which you may not want to use the built-in categories in the system, and therefore want to create a custom action. It then gives a detailed explanation of how to do this with steps, sub-steps, and screenshots with arrows explaining the action.
Their blog post on big data goes through the “Three Vs”of constant concerns surrounding the handling of large amounts of data. The first is volume, referring to the sheer quantity of information that gives big data its name. Traditional servers often have a hard time processing such massive amounts of data efficiently. The second V is velocity, referring to the speed at which information is transferred. If data is shared slowly, its usefulness may be obsolete by the time it gets to where it needs to go. The third V is variety, referring to the different kinds of information that is being processed. Big data solutions have to be able to take data from different sources in different formats and analyze them effectively.
To learn more, visit Linux Academy’s website.