To give fall a proper kickoff, over the past two months our team of expert certification specialists released 12 new or updated learning paths, 39 courses, 29 hands-on labs, and 17 lab challenges!
New Content on Cloud Academy
Fall’s new content fell into these categories:
- Google Cloud
- Microsoft Azure
- Data Science & AI
- New Product Features
This course explores how to visualize your costs in AWS and share them with others. We’ll look at some of the tools you can use for this purpose, including the AWS Billing Service, AWS Cost and Usage Reports (CURs), AWS Glue, Amazon Athena, and Amazon QuickSight. You’ll follow with guided demonstrations from the AWS platform showing you how to use these services.
This course takes an introductory look at the AWS Snow Family of devices, giving you an understanding of what they are and the problems they are designed to solve when it comes to data transfer. The devices covered by this course include AWS Snowcone, Snowball, and Snowmobile.
This course explores EC2 Image Builder, a service designed to help automate the creation and updating of images for your EC2 instance. So if you want to understand how to build and maintain secure EC2 images, you’re in the right place!
This course explores how the AWS Snowcone service can be used to provide portable edge computing and data transfer. We’ll cover the basics of the service, what it’s used for, how to request one, and how to transfer data in and out of it.
If you’re just beginning your journey towards becoming a solutions architect, this course is a great place to start. We’ll cover what a solutions architect is and what they do, the pillars of the AWS well-architected framework, and other essential aspects of AWS that you should know if you want to become a solutions architect.
In this lab, you will configure an Amazon S3 Object Lamdba Access Point and write a custom Lambda function to retrieve CSV files stored in an S3 bucket. Then you’ll transform that data into JSON before returning it to the application.
This learning path is suitable for anyone wanting to pass the AWS Certified Developer – Associate (DVA-C01) exam. As a prerequisite, you should have already completed the AWS Developer – Associate Preparation for AWS learning path.
This learning path has been designed to provide you with hands-on experience of using AWS Lambda to configure and implement a variety of solutions, many of which will integrate with other AWS services.
This hands-on lab challenge will test your practical ability to modify a solution in a production-like AWS environment. You will be presented with a task and set of requirements you must fulfill to pass the challenge.
This hands-on lab challenge will test your practical ability to configure a solution in a production-like AWS environment. You will be presented with a task and set of requirements that you must fulfill to pass the challenge.
Costs in cloud environments can get complicated quickly. Therefore, it is essential to provide transparency and responsibility to everyone in a business. In this course, we will take a look at tagging in AWS in general and other best practices in the context of cost optimization in AWS.
In this lab, you will configure HTTP endpoints that interact directly with an Amazon DynamoDB table using an API Gateway Service Proxy.
This learning path has been designed to explore the AWS CDK and provide you with the practical knowledge you will need to begin building your own applications. You’ll gain hands-on experience with the AWS CDK and understand how features such as the CDK Construct Library and the CDK Toolkit can improve the way you provision your cloud infrastructure.
In this lab, you will walk through the development process of a sample AWS CDK application in an integrated development environment (IDE) to utilize the AWS CDK Toolkit and discover the usage and benefits of the subcommands.
In this lab, you will implement an AWS Lambda that can be used to provision a non-AWS resource. You’ll also create an AWS CloudFormation stack containing a custom resource that is backed by the AWS Lambda function.
In this course, you will be introduced to AWS Systems Manager and learn how the Systems Manager service helps you automatically implement complex workflows related to your machine setup, maintenance, and life cycle.
This course will cover both FSx for Windows file system and FSx for Lustre, the two choices you have when deploying an FSx workload.
This course will cover how to manage communication both inside and outside of your Kubernetes cluster.
This course will demonstrate how to use Kubernetes role-based access control (RBAC) to create roles and bind them to both user and service accounts.
This learning path is designed to teach you how to deploy and manage containerized applications using Google Kubernetes Engine (GKE).
This learning path is designed to teach you how to build and deploy containerized applications on Google Kubernetes Engine (GKE).
This learning path is designed to show how Google Cloud Platform can be used to build cloud-based products and services.
In this course, you will learn how to stream logs using Cloud Logging Agent, as well as how to find the information you are looking for using Metric Explorer.
In this course, you will learn how to create and set up new GCP projects and how to give users permission to access project resources by assigning them to roles such as owner and editor. You will also learn how to enable APIs, set up budgets, and monitor spending.
COURSE: Introduction to Google Cloud SDK
In this course, we will cover how to install, set up, and use the main features of the Google Cloud SDK.
Learn what Microsoft Defender for Identity is, what it offers, the components that comprise it, and the requirements you must meet to use it.
This course explores the compliance features available to a Microsoft 365 administrator as well as how to manage regulatory compliance in a Microsoft 365 environment.
This course explores the Azure Custom Vision service and how you can use it to create and customize vision recognition solutions.
This course introduces the DP-203 Exam Preparation: Data Engineering on Microsoft Azure learning path, which explores the main subject areas covered in Microsoft’s DP-203 exam.
In this lab, you will learn how to convert existing ARM templates to Azure Bicep templates and fix common conversion issues that may appear.
This course will focus on the skills needed to integrate Azure Monitor and its corresponding features within IoT solutions.
This hands-on lab challenge will test your practical ability to build a solution in a production-like Azure environment.
In this challenge, you have to convert an ARM template to a Bicep template using the Azure CLI and deploy the template along with the given parameter file to Azure using the Azure CLI.
This course explores how to migrate an existing on-premises database environment to an Azure SQL database solution.
This course explores what Microsoft Defender for Endpoint is, what it does, and how to plan for deployment.
In this playground, learners have the ability to upload an existing ARM template of choice and have it be decompiled into an Azure Bicep template; choose from a number of sample templates to see how they are converted; and amend a converted template and see the changes in the original ARM template in real time.
This learning path is helpful for anyone who wants to learn how to use Azure Bicep to manage infrastructure on Azure.
In this lab, you will learn about the various tools available within a project, as well as creating your own project and adding a team to that project.
In this hands-on lab, you will work with Azure Automation Account to automate the configuration management on an Azure Virtual Machine using DSC.
This hands-on lab challenge will test your practical ability to interact with the Azure Automation Account to satisfy a set of requirements in a production-like Azure environment.
This course is intended for anyone who wants to boost security for their SAP environments on Azure, through the use of authentication and access practices.
This learning path is designed to help you and your team prepare for the MS-500 Microsoft 365 Security Administration exam.
In this course, we’ll explain the concept of slowly changing dimensions and the different approaches to dealing with them.
This course explores Azure Sentinel and how to use it to monitor Microsoft 365.
This course introduces you to sensitivity labels in Microsoft 365. You’ll learn what they are and what functions they perform in protecting your data.
This course provides an introduction to Delta Lake in Azure Databricks and shows you how to use it.
In this hands-on lab, you will learn to configure Azure Function behind a NAT gateway to restrict the outbound IP address.
This course explores Microsoft Defender for Endpoint and how to implement it.
This challenge complements the introductory labs in the Bicep series and tests a student’s practical ability to amend and deploy a Bicep template in a production-like Azure environment using the Azure CLI.
This hands-on lab challenge will test your practical ability to create a parameter file for a Bicep template and deploy both in a production-like Azure environment.
In this hands-on lab, you will be introduced to Azure Front Door, along with how to set up origin groups and configure health probes and load balancing for the backend.
This hands-on lab challenge will test your practical ability to build a solution in a production-like Azure environment. You will be presented with a task and a set of requirements that you must fulfill to pass the challenge.
This quick-hitting course is intended for those who want to learn how to deploy Defender for Identity.
This is one of four courses covering Domain 1 of the CSSLP. This course explores the topic of security policies and regulations.
This is one of four courses covering Domain 1 of the CSSLP. This course explores the topic of risk management.
This is the fourth installment of four courses covering Domain 1 of the CSSLP, exploring the topic of software development methodologies.
This lab covers the following new objective on the recently released CKAD exam: “Use Kubernetes primitives to implement common deployment strategies (e.g. blue/green or canary).”
This lab is valuable to anyone working with Kubernetes, but the content has been prepared considering topics described in the Certified Kubernetes Application Developer (CKAD) Exam Curriculum.
This course explores Terraform, an open-source tool which DevOps and SysOps engineers often use to codify their cloud infrastructure requirements. In this course you’ll learn about Terraform from the ground up, and how it can be used to codify infrastructure. Terraform can be used to provision infrastructure across multiple cloud providers, including AWS, which this course will focus on.
In this lab, you will declare an object and use both dot notation and square bracket notation to access, add, and change property values. Each check will ask you to output data to the console.
In this lab, you will write function declarations and expressions. Each function will have you use console.log() to display the resulting value.
This lab serves as a foundational piece of content that will be of interest to anyone new to configuring cloud-based systems and software with YAML configuration files.
In this lab, you will examine some practical examples of YAML configuration, and you will learn some advanced techniques to make using YAML more effective.
This hands-on lab challenge will test your practical ability to use an integrated development environment (IDE) to create a database configuration YAML file.
In this lab, you’ll declare variables of different primitive types, and then output each variable’s value in the console.
This challenge provides you with several Python programming tasks to complete from a browser-based Integrated Development Environment (IDE).
Data Science & AI
In this hands-on lab, you will master your knowledge of Bokeh, a very popular Python library for dynamic data visualization. Here, you will build standalone plots, and add interactive tools and features, including dynamic legends and Hover inspectors.
This course covers the fundamentals of PyTorch, a Python ecosystem mostly used in machine learning systems.
This lab will test your knowledge of Python for Data Science, focusing on three important aspects: programming, data management, and visualization. By the end, you should have a deep understanding of how Python is used in Data Science.
This lab will further test your knowledge of Python for Data Science. The main focus will be on Pandas and Matplotlib, the fundamental libraries for performing data analysis, management, and visualization using Python.
Check out the complete list, including links to sign up for future webinars and watch recordings of past ones, on our Webinars page.
Upcoming — click to register
- November 2 Introduction to Amazon Lightsail Object Storage
Join experts from AWS and Cloud Academy to learn of a new, low-cost way to store your static content on Amazon Lightsail.
- November 4 Mastering Machine Learning – Ep.3: Be a Data Science Master and Commander with XGBoost
Explore the results of an xbooster classifier with Shap values in episode 3 of our machine learning webinar series.
Recent — click to view recording
- Is Your DevOps Ready for Kubernetes Day 2 and Beyond?
Learn what aspects DevOps teams need to be aware of to be ready for Kubernetes Day 2 and beyond.
- Mastering Machine Learning — Ep.2: Build and Run a Machine Learning Pipeline
Don’t miss the second episode of our machine learning webinar series and learn all about machine learning pipelines.
- Mastering Machine Learning — Ep.1: Imputing Missing Values With Scikit-learn
Join the first episode of our machine learning webinar series to learn more about imputing missing values.
- An Overview of Machine Learning Pipelines
Join Data Scientist Andrea Giussani for an overview of machine learning pipelines as we prepare for a new ML webinar series.
- Stop Messing Around and Start Passing Your AWS Exams
Learn about key strategies for success that you can apply when taking your first AWS exam, whether at home or on-site.
- Moving from ARM Templates to Azure Bicep Templates
Join us for a hands-on session on the advantages of moving to Bicep Template Architecture.
New Product Features
There are new versions of the Members report, some Report API endpoints, and some LMS API endpoints. The old versions will no longer be available after October 31, 2021.
You should update any processes that depend on the legacy items before that date. You can read more in the Technical Bulletins article in the help center.
Changes to the way the product looks or works appear in the Cloud Academy Release Notes page.
- New navigation bar: All users will notice that the toolbar that appears at the top of the screen on most pages of the application has been streamlined. The help center article How the New Navigation Bars Are Different explains the benefits of this change and explains where to find all the old functionality in the new navigation bar.
- Certification dashboard: A dashboard summarizing data about your members’ certifications now appears in the management dashboard. See Certification Dashboard in the Cloud Academy help center.
- Job roles: A screen that makes it easy for admins and team managers to assign training plans related to particular job roles now appears in the management dashboard. You can learn more about the screen in the Job Roles help center article.
- Bulk actions on the organization screen: The tools to complete actions on multiple teams or team members have been improved. The Managing Members article in the help center includes a How to Select Multiple Members to Act On section that explains how to use this tool.
- Content access report: This new report contains a history of which of your members have been assigned content access licenses over time. See Content Access Report in the Cloud Academy help center.
- Certifications on the member spotlight: The member spotlight now has a section for certifications that the member has uploaded, as well as certificates of excellence the member earned for completing learning paths in Cloud Academy.
- Inactive members report: This new report lists the members in your account who have never consumed training content.
- Lab validation check hints: For selected hands-on labs, members can now get hints when they fail a validation check.
- Bookmarks tab in the mobile app: Members using the mobile app for training can now access their bookmarks on a special bookmarks tab in the app.
As always, we use Cloud Academy Blog to keep you up-to-date on the latest technology and best practices. All of our new blogs, reports, and updates go directly to our Cloud Academy social media accounts. For the latest updates, follow and like us on the following social media platforms: