Cloud Platforms

Author: Luke Orellana; Difficulty: Beginner; Description: In this lab, use Azure's Machine Learning Studio to build an ML Pipeline to train and deploy a model.; Duration: Up to 2 hours and 15 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 6 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will create a DB subnet group, a Neptune Database, and you will perform some SPARQL commands.; Duration: Up to 1 hour and 15 minutes; Content Topics: Databases; This hands-on lab has: 7 Lab steps

Author: Luke Orellana; Difficulty: Advanced; Description: Develop a test to validate a Terraform module using Terratest, a popular Golang library for testing Terraform code.; Duration: Up to 40 minutes; Content Topics: Deployment, DevOps; This hands-on lab has: 2 Lab steps

Author: Luke Orellana; Difficulty: Advanced; Description: Learn how to use Terragrunt to create separate Terraform environments with a remote state following DRY principles.; Duration: Up to 30 minutes; Content Topics: Deployment, DevOps; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to aggregate data using Amazon Managed Streaming for Apache Kafka in this Hands-On lab.; Duration: Up to 2 hours; Content Topics: Analytics; This hands-on lab has: 7 Lab steps

Author: Eric Magalhães; Difficulty: Beginner; Description: Learn to increase the storage space of an existing EBS volume without losing the data on the volume in this hands-on lab on expanding EBS Volumes on Linux Instances.; Duration: Up to 45 minutes; Content Topics: Storage, Operating System; This hands-on lab has: 5 Lab steps

Author: Luke Orellana; Difficulty: Beginner; Description: Follow along with this hands-on lab and learn how to deploy and configure Azure Firewall and create route tables.; Duration: Up to 55 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to implement object detection on every new image uploaded on Amazon S3.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 7 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you'll install the AWS Application Discovery agent on a server, verify it's collecting data, and you'll query the collected data with Amazon Athena.; Duration: Up to 2 hours; Content Topics: Migration; This hands-on lab has: 5 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Get started on your DevOps journey and learn how to build infrastructure on AWS using Terraform.; Duration: Up to 45 minutes; Content Topics: DevOps, Deployment; This hands-on lab has: 2 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: Demonstrate your Infrastructure skills for highly available and scalable applications by performing tasks required to set up a Compute Engine infrastructure in this lab challenge.; Duration: Up to 1 hour and 30 minutes; Content Topics: Google Cloud Platform; This lab challenge has: 2 Lab steps

Author: Luke Orellana; Difficulty: Beginner; Description: In this lab challenge, you will put your infrastructure development skills to the test. You will be tasked with deploying an EC2 instance using Terraform by editing a partial Terraform configuration to include deploying the EC2 resource.; Duration: Up to 1 hour; Content Topics: Deployment; This lab challenge has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the Amazon Kinesis Agent application to collect log files and learn how to use AWS Glue and Amazon Athena to query the log data.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps

Author: Matt Martinez; Difficulty: Beginner; Description: Learn to implement lightning-fast analytics by building an Azure Databricks workspace and cluster to interact with Azure Data Lake Store Gen2 data.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 7 Lab steps

Author: Matt Martinez; Difficulty: Beginner; Description: Develop an Azure bot locally and then use the Azure CLI and Azure Portal to deploy it to Azure.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 6 Lab steps

Author: Matt Martinez; Difficulty: Beginner; Description: Use the AI Services API in the Azure AI suite to perform text analytics operations by requesting the API services via an Azure Function App.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 5 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will create a storage bucket that will host a static website. You will then create a load balancer that will balance the traffic to your bucket and you will create a CDN distribution that will edge distribute the load balancer that points to your bucket.; Duration: Up to 45 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 7 Lab steps

Author: Logan Rakai; Difficulty: Advanced; Description: Demonstrate the three capabilities of Azure Defender (AD): data discovery & classification, vulnerability assessment, and advanced threat protection to see how AD provides security as a service for your Azure SQL Databases.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 6 Lab steps

Author: Logan Rakai; Difficulty: Intermediate; Description: In this lab, you'll use a SageMaker notebook to learn how to write Python code to prepare data, train and deploy models, and use them for real-time inference.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps

Author: Andrew Templeton; Difficulty: Intermediate; Description: Learn how to configure resources in AWS Config and AWS CloudTrail to monitor, audit, and report account activity in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Management, Security, Monitoring; This hands-on lab has: 8 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will use the GCP Cloud Deployment Manager service to create a template and then use it in the configuration you will deploy. You will also use Jinja for defining a template and YAML for the configuration.; Duration: Up to 45 minutes; Content Topics: Management, Deployment; This hands-on lab has: 6 Lab steps

Author: Matt Martinez; Difficulty: Intermediate; Description: In this Lab, you will learn how to manage Cosmos DB using the Azure Portal and Azure CLI as you integrate Azure Functions with Cosmos DB change feed triggers to buy and sell fictitious stocks.; Duration: Up to 1 hour and 30 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 9 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will create two tables in a SQL PostgreSQL database, perform operations on them, monitor the resources usage and test that the atomicity property is respected by the database.; Duration: Up to 1 hour and 15 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 7 Lab steps

Author: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will build a Docker image using Cloud Build and then you will deploy the application using Cloud Run, monitoring it and getting audit logs.; Duration: Up to 40 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 6 Lab steps