Build Your Own Linux... for Free!

Access the Build Your Own Linux Book for Free!

Last week, we announced one of our newest course offerings, Build Your Own Linux… from Scratch. This course includes an 115-page PDF booklet detailing the process of building a basic Linux distro from the ground-up, alongside Linux Academy’s normal video lessons. But we decided we liked the book so much, we wanted everyone to have it. So we made it a website and released it for free.

BuildYourOwnLinux.com takes all the written copy from the Build Your Own Linux course and offers it to anyone interested in learning about how Linux distros go from simple Linux kernel to useable servers. From preparing your workspace to downloading and configuring needed packages, the course — and website — aims to give you a deeper understanding of Linux and how distros are made. And you don’t even need a Linux Academy account!

Of course, if you come across any issues or have any questions while building your very own Linux, we’re still here to help. Sign up for our free community to chat with thousands of industry professionals and students just like you.

So what are you waiting for? Open up your terminal and get building!

Getting Comfortable with PowerShell

Getting Comfortable with PowerShell – A New Course Series By Linux Academy

The world of IT has been moving towards a new direction. From cloud computing to advancements in big data analytics, administrative environments are becoming daunting daily tasks with increasingly complex challenges. One of the most profound changes occurring in 2016 is the business model approach Microsoft has taken with the open source community. With new leadership, Microsoft has adopted a less constrained engagement model and adapted to its userbase by allowing certain core proprietary technologies to be brought to the open source community. Fresh on the heels of the release of .NET to the open-source community, Microsoft announced it has launched PowerShell 6.0, aka PowerShell Core, to the open-source community and will be available on Linux and Mac clients alike.

So what does this mean for the average administrator – especially one who comes from a UNIX/Linux background? The first and foremost item is this will now introduce a cross-platform tool that can administrator numerous environments simultaneously. (more…)

Enter to Win a Google Pixel

Just like we promised, we’re giving away the new Google Pixel! Here’s how you can enter to win:

  1. Log in to your account! Super easy, right?
  2. Spread the word! Share something and tag Linux Academy on Facebook or Twitter. Let your friends know you got a certificate of completion, show off your professional certification, or share one of our blog posts with your followers!
  3. Learn something! Watch a short Nugget video – some of them are less than 10 minutes – for a quick bit of useful information.

Just complete these three simple steps by December 29 in order to be entered into the competition. The winners will be announced on January 5 and must have an active Linux Academy account to be eligible.

Good luck!

Build Your Own Linux

Build Your Own Linux… From Scratch

Build your own Linux… from scratch. I can hear you thinking: “Build my own Linux… ok. But from scratch? Like a cake?!” Rest assured, no baked goods are produced (or harmed) in this course.

But it is possible to build a Linux distro a la “The Cake Boss” — using a bit from this can, that box, this jar. Assuming things fit together and work properly, the problem with this process are the limitations inherent in working with pre-packaged components. Don’t want wheat in your cake? If there’s no pre-packaged gluten-free cake mix, you’re out of luck. In much the same fashion, if you want userland binaries or the Kernel built (a) with (or without) certain features, (b) to fit into a pre-determined space, (c) optimized for a specific CPU…well, if you can’t find a box on the shelf, so to speak, you’re also out of luck, unless… (more…)

Linux Academy: Community Edition

Announcing: Free Community Membership

We’re pleased to announce today that the Community Edition of Linux Academy is now available for free! For no charge, you can access select courses and Live! Labs, student flash cards, your profile and certificates, and the vibrant and engaging Linux Academy community of experts.

“Linux Academy is dedicated to helping change the lives of others through education and training. We decided to make our community open to everyone because we want to reduce the barrier to learning and be a one-stop solution for everything a person might need to train on open source and cloud technologies.” – Anthony James, CEO

The following courses are available to free community members:

For more details, please see the full press release. 

 

AWS and the Internet of Things

AWS and the Internet of Things

IoT has become one of the hot topics of the tech industry. From dedicated sessions at Amazon’s re:Invent 2016 to the upcoming Consumer Electronics Show (CES) 2017, the term comes up everywhere. IoT refers to an interconnected network of smart devices sending data to the Internet. The list includes your washing machine, A/C thermostat, car, watch, TV and almost anything else that has a ‘chip.’ By some estimations, there will be 6.4 billion connected devices by the end of 2016, generating $1.4 Billion in revenue and growing [1]. With those revenue projections, it is no surprise that companies like Amazon have already launched their IoT platforms.

The Amazon eco-system offers services like Amazon Cognito, AWS Lambda, Amazon Kinesis, Amazon S3, Amazon Machine Learning, Amazon DynamoDB, Amazon CloudWatch, AWS CloudTrail, and Amazon Elasticsearch Service with built-in Kibana integration to build IoT applications that gather, process, analyze and act on data generated by connected devices, without having to manage any infrastructure [2]. Pricing for the US East and US West Regions are a flat $5 per one million messages [3]. (more…)

New Course: Machine Learning with Azure!

Linux Academy Announces Machine Learning with Azure

Machine learning is the ability for computer programs to perform specific tasks without being explicitly programmed to do so. These computer programs are backed by self-learning algorithms that rely on training data to learn and improve on accuracy incrementally. When it comes to training data, more is better. The larger the training data set, the more accurate the machine learning program at performing its tasks. Although machine learning has been around since the 1950s, when the first computer program to play the game of checkers was built, the recent “big data era” and the increased availability of tools have pushed the momentum of machine learning. Adoption of machine learning has accelerated where enterprise data is used to build predictive analytical functions that enable business-wide profitable decisions. (more…)