Cloud Platforms

Author: Andrew Larkin; Difficulty: Beginner; Description: The Getting Started with Serverless Computing course provides a complete and practical introduction to the world of Serverless computing. Find out more!; Duration: Up to 18 hours and 57 minutes; Content Topics: Amazon Web Services; This learning path has: 5 Courses, 2 Exams, 10 Hands-on labs

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to manage AWS infrastructure using Terraform, the most popular infrastructure as code tool in the DevOps toolbelt.; Duration: Up to 12 hours and 26 minutes; Content Topics: DevOps, Deployment; This learning path has: 1 Course, 1 Lab challenge, 15 Hands-on labs

Author: Andrew Larkin; Difficulty: Beginner; Description: Take the first step on your journey to becoming a Cloud Architect with this practical course!; Duration: Up to 9 hours and 33 minutes; Content Topics: Cost Management, Web; This learning path has: 10 Courses, 1 Resource, 6 Exams

Author: Guy Hummel; Difficulty: Intermediate; Description: This course is designed to help you prepare for the DP-900 Microsoft Azure Data Fundamentals exam.; Duration: Up to 11 hours and 4 minutes; Content Topics: Microsoft Azure; This learning path has: 8 Courses, 1 Resource, 2 Exams, 2 Hands-on labs

Author: Guy Hummel; Difficulty: Intermediate; Description: This course gives shows you how to design all of the major elements of an Azure architecture, including compute, data, networking, and security.; Duration: Up to 19 hours and 31 minutes; Content Topics: Microsoft Azure; This learning path has: 12 Courses, 4 Exams, 5 Hands-on labs

Author: Daniel Mease; Difficulty: Intermediate; Description: This course will show you the tools and services used by developers to build applications on Google Cloud Platform.; Duration: Up to 31 hours and 17 minutes; Content Topics: Google Cloud Platform; This learning path has: 24 Courses, 1 Lab challenge, 7 Exams, 14 Hands-on labs

Author: Stuart Scott; Difficulty: Beginner; Description: This Course serves as an introduction to the AWS cloud and its foundational services of compute, storage, networking, and databases.; Duration: Up to 23 hours and 59 minutes; Content Topics: Amazon Web Services; This learning path has: 18 Courses, 1 Lab challenge, 2 Resources, 1 Exam, 10 Hands-on labs

Author: Thomas Mitchell; Difficulty: Intermediate; Description: This course is designed to help you prepare for the AZ-400 Microsoft Azure DevOps Solutions exam.; Duration: Up to 30 hours and 47 minutes; Content Topics: Microsoft Azure; This learning path has: 21 Courses, 1 Resource, 1 Exam, 8 Hands-on labs

Author: Logan Rakai; Difficulty: Advanced; Description: Follow the application lifecycle from dev to prod: continuous integration, rollbacks and blue/green deployments with AWS Code Services.; Duration: Up to 4 hours; Content Topics: Amazon Web Services; This hands-on lab has: 9 Lab steps

Author: Parveen Singh; Difficulty: Beginner; Description: In this lab, you will cover the basics of Azure Virtual Network and related configuration and integration options.; Duration: Up to 30 minutes; Content Topics: Networking; This hands-on lab has: 4 Lab steps

Author: Eric Raub; Difficulty: Beginner; Description: A hands-on lab introducing you to the high performance and high availability Amazon Aurora database engine.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 7 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will create an S3 bucket and will implement the lifecycle policies to handle actions done on the objects. You will also log the operations done.; Duration: Up to 1 hour; Content Topics: Storage; This hands-on lab has: 5 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the Amazon Redshift service. Create a cluster with a database, copy data from S3, query data using SQL, and resize the cluster.; Duration: Up to 1 hour and 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 8 Lab steps

Author: Antonio Angelino; Difficulty: Beginner; Description: You will learn how to create custom Amazon Machine Images (AMI) starting from a customized EC2 instance.; Duration: Up to 30 minutes; Content Topics: Storage, Compute; This hands-on lab has: 5 Lab steps

Author: Eric Magalhães; Difficulty: Beginner; Description: The AWS Command Line Interface (CLI) is a unified tool to manage your AWS services. With just one tool to download and configure, you can control multiple AWS services from the command line and automate them through scripts.During this lab, you will learn how to install and configure the AWS CLI, plus leverage the built-in help tool. ; Duration: Up to 1 hour; Content Topics: Management, Storage; This hands-on lab has: 7 Lab steps

Author: Alex Casalboni; Difficulty: Intermediate; Description: Learn how to listen to DynamoDB update streams and process batches of records with AWS Lambda to augment your database behavior.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps

Author: Alex Casalboni; Difficulty: Beginner; Description: Learn how to invoke a Lambda function and implement custom logics in response to S3 events (e.g. object creation, update or deletion).; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: This lab introduces the basics of Auto Scaling in Amazon Web Services. The Amazon Web Services (AWS) Auto Scaling service automatically adds or removes compute resources allocated for your cloud application, in response to changes in demand. For applications configured to run on a cloud infrastructure, scaling is an important part of cost control and resource management.; Duration: Up to 1 hour and 15 minutes; Content Topics: Compute; This hands-on lab has: 5 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: An introduction to the highly scalable and fully-managed AWS CodeCommit source control service. This lab covers creating, accessing, and adding files to repositories hosted in CodeCommit.; Duration: Up to 40 minutes; This hands-on lab has: 7 Lab steps

Author: Matt Martinez; Difficulty: Beginner; Description: Learn to create and configure hardened Azure storage accounts by creating and managing one yourself, using many available tools to configure it for your needs.; Duration: Up to 1 hour; Content Topics: Storage; This hands-on lab has: 6 Lab steps

Author: Eric Magalhães; Difficulty: Intermediate; Description: Automating Amazon EBS snapshots with AWS Lambda and Amazon EventBridge.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps

Author: Logan Rakai; Difficulty: Beginner; Description: This lab explores how to encrypting S3 objects in AWS using SSE-KMS.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps

Author: Eric Magalhães; Difficulty: Beginner; Description: In this lab, we are going to create an Elastic Load Balancing (ELB) within the AWS console. In the next steps, we are going to create a Classic Load balancer to forward the web traffic to a couple of EC2 instances; Duration: Up to 1 hour; Content Topics: Networking, Compute; This hands-on lab has: 7 Lab steps

Author: Matt Martinez; Difficulty: Intermediate; Description: In this lab, you will first create a Windows virtual machine using an Azure Resource Manager template, and then you will improve the template using several additional ARM features.; Duration: Up to 2 hours; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps