There are multiple cloud platforms, and each has its own "personality." Some of the things that make Azure a great platform are:

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This learning path demonstrates practical applications of AWS Developer tools and services using a blend of instructional learning and hands-on labs. At the conclusion of this learning path, you will be able to create your own CI/CD environment consisting of services such as CodeCommit, CodeBuild, CodeDeploy, and CodePipeline. Additionally, you'll learn how AWS's IDE service, Cloud9 can be used to maintain and edit your project's source code.

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In almost every enterprise solution there will be a requirement for some sort of database, but which service should you use, and how should you architect it? This learning path has been compiled to introduce you to the different AWS database services and some of the features relating to AWS database types.

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It's not just tech professionals who need to improve their cloud skills. As more and more businesses launch in or migrate to the cloud, it's key that every individual in an organization understand the cloud computing space and the impact it is having on all aspects of a company.

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If you want to learn how to use Google's lightning-fast, global cloud network to host your applications, then this is a good place to start. This learning path will help you gain a solid understanding of the various components of the Google Cloud Platform.

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Updates
August 1, 2019 - Updated and added new topics to:
Google Cloud Platform: Fundamentals
February 4, 2019 - Removed "Comparing Cloud Platforms" course
April 16, 2018 - Added Learning Path Exam

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Docker has taken the container world by storm, broadly popularizing the use of containers. It's not hard to see why it became popular when you consider the impressive list of benefits you can attain by using Docker including:

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There are some workloads that are well suited for the flexibility that virtual machines provide. Virtual machines enable you to choose the operating system, tools, languages, and configuration management tools. If you're going to use virtual machines, then you're going to also be using Azure Storage, because VMs rely on it for disk storage. Azure Storage doesn't stop at disk storage, it also provides NoSQL, Blob, File and Queue options.

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This learning path demonstrates practical applications of AWS machine learning and Artificial Intelligence services using a blend of instructional learning and hands-on labs. At the conclusion of this learning path, you will be able to implement and experiment with Amazon Machine Learning platform and application services.

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Elasticsearch has become a favorite technology amongst administrators, engineers, and developers alike. Whether you are using it with the rest of the Elastic Stack or on its own, Elasticsearch has proven itself to be a powerful and easy to use search and analytics engine. Log aggregation, operational analytics, application performance monitoring, NoSQL databases, site search, and ad-hoc data analysis are just a few of the many use cases this product has become synonymous with. Now that Elasticsearch has become a mainstream technology, it is helpful to know a little something about it.

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