In December, our team of expert certification specialists released three new or updated learning paths, 25 courses, and 12 hands-on labs!
New Content on Cloud Academy
December’s new content fell into these categories:
Plus, check out updates on:
Amazon Web Services
In this hands-on challenge lab, you will be given a scenario and a set of tasks to complete to meet the scenario’s requirements.
This course covers Amazon’s API Gateway service, which will help you create some incredibly robust APIs for your workloads.
This course covers a few of the more advanced topics within API Gateway that can help take your architectures to the next level.
Google Cloud Platform
Learn what Anthos is, how it compares to other similar solutions, and how to use it to deploy multi-cloud applications.
This course will teach you how to use Cloud Dataprep to explore, clean, and prepare your data.
This lab explores the differences between Google Cloud Endpoints and API Gateway, with an emphasis on security.
This lab walks the student through how to create Terraform resource provisioners and learn how and when Terraform uses them during a deployment.
In this lab, you will import an existing GCP resource into a Terraform project.
In this lab, you will configure a Terraform project to store and manage state from a remote Google Cloud Storage bucket.
This lab walks the student through how to create reusable Terraform modules to be shared and dynamically created within multiple Terraform projects.
The lab introduces conditional expressions within a Terraform configuration to dynamically create GCP resources.
In this lab playground, you’ll have the opportunity to play around with a preconfigured Power BI Desktop environment with access to a wide range of abilities.
This course will focus on the skills required to manage and maintain the indexing process for an Azure Cognitive Search solution.
This course will help you design and plan your Azure Virtual Desktop environment and allow you to understand how it integrates with other Azure services.
In this course, we review Azure Virtual Wide Area Network (WAN). Azure Virtual WAN creates a hub-and-spoke topology that provides a single interface for managing branch connectivity, user access, and connectivity between VNets. We also cover how Azure Virtual WAN hubs connect with other network resources to create a full mesh topology that serves as a backbone of a hybrid network.
In this lab, you will learn how to deploy Azure Synapse Analytics and use serverless SQL to execute queries against the data stored in a data lake storage account.
This course is part of the DA-100 Learning Path and takes a deep dive into building custom DAX measures.
In this hands-on lab, you will be taught how to use the Hunting dashboard to capture threats, create bookmarks, and generate incidents in Microsoft Sentinel.
This learning path takes you through the basics to an expert level with the Microsoft Sentinel SIEM tool to advance in Security operations in Azure Cloud.
In this lab, you will explore deploying an Azure Container Instance to host a web service; scaling a container; and running a task in a Container Instance.
This learning path is designed to help you prepare for Microsoft’s AZ-700 Designing and Implementing Microsoft Azure Networking Solutions exam.
This course covers how to use the text analytics features in Azure to detect language, as well as how to retrieve and process key phrases, entities, and sentiment from a text.
This course shows you the fundamentals of how to design, create, and test chatbots using the Azure Bot Framework SDK.
This learning path takes an in-depth look at Alibaba Cloud’s machine learning offering: Platform for Artificial Intelligence (PAI). We’ll start with an introduction to the service so you begin to get an idea of its capabilities. Then we’ll move on to look at the features of PAI in more detail.
This course explores Alibaba Cloud PAI and introduces the main features and capabilities of the service.
This course introduces visual development through PAI including an introduction to the basic concepts and a practical demo from the platform.
In this course, we look at another component that PAI provides, PAI-DSW, and the approach of development based on Notebook.
This course covers three main tasks. The first is image classification based on Tensorflow. The second is sentiment classification of film reviews. The last is product recommendation based on a collaborative filtering algorithm, all of which can be used to build machine learning models in PAI studio, by dragging and dropping components.
In this course, we introduce the content related to sentiment analysis using Alibaba Cloud.
This course covers product recommendation using PAI, looking at the basic concept and application of the recommendation system.
In this course, you’ll learn what Elastic Compute Service (ECS) is, how to use it, and what makes Alibaba Cloud’s new 6th generation instances faster and more powerful than their predecessors.
This course introduces Alibaba ECS purchasing options, including ECS purchasing options, preemptible instances, reserved instances, saving plans, and cost optimization.
This course covers Alibaba Cloud’s Managed Security Service, which allows you to manage the security of your Alibaba cloud environment effectively, providing all the operations of a security operations center.
In this hands-on lab, you will learn the basics about the KQL query language and explore the operators used to filter and transform the log data to make it usable and actionable for the security and operations team.
Check out the complete list, including links to sign up for future webinars and watch recordings of past ones, on our Webinars page.
Recent — click to view recording
- How to Crush the CKAD Exam
Join us to learn how to prepare for the Certified Kubernetes Application Developer exam and pass it with flying colors.
- Nail Your Tech Interview
Learn how to build a bullet-proof profile, make yourself “findable” to recruiters, and ace a tech interview.
- Is AIOps the Future of Multi-Cloud Management?
Join our team of experts in this discussion on whether or not AI Ops is the future of multi-cloud management.
- Discover Your True Potential With Cloud Academy
Learn how to accelerate your career by building hands-on skills with Cloud Academy.
Ongoing — click to register
New Product Features
Changes to the way the product looks or works appear in the Cloud Academy Release Notes page. We released three features in December.
The new Pre-Hire Assessments functionality lets you baseline your job applicants’ technical skills so you can make hiring decisions with confidence. You can get the details about this exciting new feature on our blog: Baseline Skills to Make the Right Hire. Sign up for our Pre-Hire Assessments customer webinar to learn more about this new technology.
Skills profiles and Analytics can now be filtered by individual members. Previously, you could only filter by teams. Administrators and team managers can now filter by member to check a member’s skills without needing to leave the Skills Profiles or Analytics page to go to the User Snapshot.
You can now indicate the difficulty level on custom resources you create in Content Engine. The difficulty level you choose appears below the resource title in the training library.
Changes that can affect your API code or automations you have set up for reports appear in the Technical Bulletins article in the Cloud Academy help center.
Update SSO Configuration by January 31, 2022
If you haven’t already updated your SSO Configuration, you must do so before January 31, 2022. See How the New SSO Configuration Is Different for instructions, or contact your CSM for more information.
Did you know? When you set up SSO, your identity provider is the single source of truth for your user information. So, if you need to update a user’s email address or other information in your SSO-enabled Cloud Academy account, just update the IdP and the change will flow naturally into Cloud Academy.
Two Reports Get New Names February 1, 2022
Effective February 1, 2022, the following two reports will have new names:
- The Members Report will be called the Active and Invited Members report. The file you receive when you run this report will have the following filename:
- The Team Membership report will now be called the Active Team Members report. The file you receive when you run this report will have the following filename:
The content of these reports will remain the same, and nothing will change about the API calls you use to generate these reports. Only the names and filenames are changing. See New Titles for Two Reports for full information.