Upcoming Content

A list of all the Learning Paths, Labs, and Courses coming soon, and links to the content we have published most recently.

Contact our support team for any questions.


Amazon Web Services

Learning paths

  • Machine Learning on AWS SCHEDULED for January 2018

    This Learning Path begins with an introduction to Machine Learning theory, then proceeds to cover Machine Learning technologies and services provided by the AWS platform.

  • Migrating to AWS SCHEDULED for January 2018

    From using AWS' tools that enable migration, to managing a hybrid infrastructure, this learning path provides the information you need to migrate to AWS.

  • Cloud Practitioner - Certification Preparation for AWS SCHEDULED for December 2017

    Prepare for your Certified Cloud Practitioner on AWS exam with this learning path.

Courses

  • AWS Machine Learning AI Services - Polly SCHEDULED for December 2017

    Learn to use Amazon's AI service, Polly, with this course.

  • AWS Machine Learning AI Services - Lex SCHEDULED for December 2017

    Learn to use Amazon's AI service, Lex, with this course.

  • Introduction to Migration Hub SCHEDULED for December 2017

    Learn to use AWS' Migration Hub to plan and track your enterprise migrations.

  • Machine Learning Theory for AWS SCHEDULED for December 2017

    An overview of machine learning theory for AWS users.

  • Amazon Deep Learning AMI and ML Frameworks SCHEDULED for January 2018

    An introduction to Amazon's deep learning AMI and machine learning frameworks.

  • Amazon Machine Learning SCHEDULED for January 2018

    An overview of machine learning on Amazon Web Services.

  • Apache Spark on Amazon EMR SCHEDULED for December 2017

    This course dives into how to use Apache Spark on Amazon EMR.

  • AWS Machine Learning AI Services - Rekognition SCHEDULED for December 2017

    Learn to use Amazon's AI service, Rekognition, with this course.

  • AWS Big Data - Kinesis Analytics PUBLISHED in October 2017

    Kinesis Analytics: Learn what are the key features and core components of Kinesis Analytics, and what an end-to-end real time data streaming example looks like.

  • Introduction to VMWare Cloud on AWS PUBLISHED in November 2017

    This beginners course will explain the concepts and potentials of how VMware technology can be integrated with AWS.

Labs

  • Using Chef Solo on Windows for AWS PUBLISHED in October 2017

    This Lab will get you up and running with Chef Solo and help you configure a local Windows host on AWS using Chef.

Google Cloud Platform

Learning paths

Courses

Microsoft Azure

Learning paths

  • Introduction to Security on Azure SCHEDULED for December 2017

    An introduction to the tools you need to make sure your Azure setup is secure.

  • Machine Learning on Azure SCHEDULED for January 2018

    Learn about Azure's machine learning services and technologies with this learning path.

Courses

  • Azure Active Directory Security PUBLISHED in October 2017

    In this Azure Active Directory Security course, you'll learn about Azure AD fundamentals and Cloud Security, and will gain an understanding of Identity Management.

Labs

  • Azure Key Vault and Disk Encryption SCHEDULED for November 2017

    Walk through creating a virtual machine with encrypted disks, and store your encrypted keys in Azure Key Vault.

  • Azure Role-Based Access and Control Lab PUBLISHED in November 2017

    This lab allows students to work through creating a custom based AzureAD role and demonstrate how to limit certain permissions in that custom role.

  • Azure Security Center PUBLISHED in October 2017

    Practice using Azure Security Center with this Hands-On Lab.

Cloud Ecosystem

Learning paths

  • Docker in Depth SCHEDULED for December 2017

    Take a deep dive into Docker with this learning path.

  • Introduction to DC/OS PUBLISHED in October 2017

    Learn the fundamentals of DC/OS with the courses and labs in this learning path.

  • Introduction to Kubernetes PUBLISHED in December 2017

    This learning path will introduce you to Kubernetes, and give you hands-on experience with the container management and orchestration tool

Feedback

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