We deploy the real environment, you take the scenario-based labs on us. Hands-on, from anywhere, at any time.
Learn the Linux Academy basics! Discover how to start and connect to your six Linux lab servers, learn about the learning tools we made just for you, and find out the best way to put our content to work. This module updates as we add new features to the Linux Academy!
This course provides a basic introduction to the concept of DevOps. It seeks to give the student a working knowledge of what DevOps is and how it impacts IT in the real world. This course explains the culture of DevOps as well as some of the main practices and tools associated with DevOps. It also introduces the student to the close relationship between DevOps and the cloud.
Serverless Concepts will teach you the basics of this hot new technology. You'll learn about what constitutes a serverless application. You'll watch how-to videos that show off services like AWS Lambda, Google Firebase, and more. You'll be able to review note cards to remember key elements from the sessions. Finally, connect with us in the community and share how you're adopting this technology and your experiences.
This course will teach the core fundamentals necessary to properly secure your Google Cloud environment, and manage who has access to what resources. The concepts introduced in this course are necessary for any security considerations on Google Cloud.
This course is designed to not only help you pass the Google Cloud Certified - Associate Cloud Engineer exam but also to learn the real-world skills you'll need to be a cloud engineer. This course loosely follows the domain objectives outlined in the certification info. However, instead of just walking you through each bullet point and showing how that particular item works, without any context, we’ve chosen to use a scenario.
In this scenario, you’ve been hired by a startup called Find Seller. They're working on an app that allows users to post a picture of an item and tag it as something they want to buy or sell. They’re having trouble getting funded because currently all of their technology resides on the developers' laptops, and they don’t have any idea how to move to the cloud. That’s where you and I enter the scenario. You’ve been hired as a junior cloud operations engineer, and I’ll be working as a senior cloud engineer. I’ll be mentoring you as we’re assigned tasks from our boss, and we’ll go through the process of deploying and maintaining the application.
Here are some of the areas of focus:
By the end of this course, you should be ready to pass the Google Cloud Certified- Associate Cloud Engineer Exam.
In this course, you will develop the skills that you need to write effective and powerful scripts and tools using Python 3. We will go through the necessary features of the Python language to be able to leverage its additional benefits in writing scripts and creating command line tools (data types, loops, conditionals, functions, error handling, and more). Beyond the language itself, you will go through the full development process including project set up, planning, and automated testing to build two different command line tools.
Kubernetes, the open-source system for deploying, managing, and scaling containerized apps, is at the heart of Google Kubernetes Engine. This integration is totally natural. Google developed Kubernetes in-house, and uses it to run its own most popular, global apps. Gmail, YouTube, and even Search run in Kubernetes Engine. It is a fully-managed service and, in this course, you’ll learn it from the ground up.
During this course, I’ll explain the concepts behind Kubernetes and explain its architecture in detail. You’ll learn what comprises a cluster, how to spin one up, deploy an application on one, and then scale out as needed. Such power needs to be handled properly. We’ll cover multiple levels of access control, from integration with Cloud IAM to Kubernetes-specific Role-Based Access Control. With any cloud computing system, networking is key. I’ll show you how Kubernetes Engine works with load balancers (both internal and external), as well as how to set up a private cluster, and declare a network policy.
Throughout the course, a fictitious company, LA Containers, is used to provide real-world scenarios in an interactive chart, which can be viewed here: https://interactive.linuxacademy.com/diagrams/LAContainers.html.
Additionally, the course describes how to convert the normally stateless Kubernetes Engine so that it handles stateful applications, with the addition of a persistent disk. We’ll also explore the techniques used for integrating Kubernetes Engine with other services on the Google Cloud platform, such as Cloud Pub/Sub, Cloud Storage, and Cloud SQL.
Kubernetes is the de facto standard for orchestrating containerized apps, and Google Kubernetes Engine is its most fully-realized implementation. Join me in the comprehensive exploration of this much in-demand technology in Google Kubernetes Engine Deep Dive.
The Google Cloud Professional Data Engineer is able to harness the power of Google's big data capabilities and make data-driven decisions by collecting, transforming, and visualizing data. Through designing, building, maintaining, and troubleshooting data processing systems with a particular emphasis on the security, reliability, fault-tolerance, scalability, fidelity, and efficiency of such systems, a Google Cloud data engineer is able to put these systems to work.
This course will prepare you for the Google Cloud Professional Data Engineer exam by diving into all of Google Cloud's data services. With interactive demonstrations and an emphasis on hands-on work, you will learn how to master each of Google's big data and machine learning services and become a certified data engineer on Google Cloud.
Download the Data Dossier: https://interactive.linuxacademy.com/diagrams/TheDataDossier.html
The purpose of this course is twofold:
Skills that will be covered include:
These will be a high-level overview of the above concepts, which we will build on in more advanced courses.
The Google Cloud Platform Architect Part 1 course laid down a beginner's level of understanding as a foundation for learning more advanced concepts. In this course, we will take a deeper look at many of GCP's services and start to put many concepts together to mimic most real-life business scenarios. Advanced familiarity with these services will be crucial to prepare for the GCP Architect exam.
It is time to focus on the Cloud Architect exam. In this course, we will be filling in the rest of the gaps over what the exam covers, building directly on what we've already learned in the GCP Architect Parts 1 and 2. We will also re-frame previous skills we've learned in the context of using them to solve complicated business and technical problems.