Training Library

Author: Jeremy Cook; Difficulty: Beginner; Description: Terraform is a popular IaC (Infrastructure as Code) tool for building, changing, and versioning infrastructure safely and efficiently. When working with Terraform, your resources are codified within Terraform templates, which should be version controlled within a source control system such as Git. In this Lab scenario, you'll learn how to use both Terraform and Git to manage and maintain resources launched within AWS.; Duration: Up to 1 hour; Content Topics: Deployment, DevOps; This hands-on lab has: 6 Lab steps

Author: QA; Difficulty: Intermediate; Description: This lab demonstrates how to create and configure a new user and GPO on a Windows 2016 Server Domain Controller (DC).; Duration: Up to 2 hours; Content Topics: Cyber Security; This hands-on lab has: 2 Lab steps

Author: Parveen Singh; Difficulty: Intermediate; Description: Learn how to use Azure AI Document Intelligence Service to extract information from documents in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 4 Lab steps

Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to use AWS SAM, Amazon Bedrock, and LangChain to deploy an automated document embedding application in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps

Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to deploy an Amazon ECS cluster into an existing Amazon VPC using Terraform in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps

Author: Jeremy Cook; Difficulty: Intermediate; Description: In this Lab scenario, you'll learn how to reconfigure an EKS cluster to utilize Cilium as its CNI provider.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 8 Lab steps

Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will understand what are full-refresh dbt models, and you will create two models by using the table materialization type.; Duration: Up to 1 hour; Content Topics: Data build tool (dbt); This hands-on lab has: 5 Lab steps

Author: Adil Islam; Difficulty: Beginner; Description: Learn how to run benign cyber-attack simulations to test your organization's security practices in this hands-on Microsoft 365 Defender lab.; Duration: Up to 1 hour and 15 minutes; Content Topics: Business Suites; This hands-on lab has: 4 Lab steps

Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to create a REST API using Amazon API Gateway in this hands-on lab.; Duration: Up to 1 hour and 15 minutes; Content Topics: Development; This hands-on lab has: 7 Lab steps

Author: Ben Lambert; Difficulty: Beginner; Description: Build upon your Python skills by creating a console based blackjack game. This lab demonstrates how the Python language is used to create and control objects. It leverages a wide range of Python's functionality such as classes, functions, loops, conditionals, built-in objects, doctests, and more.; Duration: Up to 3 hours; Content Topics: Development; This hands-on lab has: 6 Lab steps

Author: Jeremy Cook; Difficulty: Beginner; Description: In this lab scenario, you'll learn how to easily migrate an EBS volume from GP2 to GP3.; Duration: Up to 1 hour; Content Topics: Storage; This hands-on lab has: 7 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn to how to centralize storage of your Amazon CloudWatch Logs using Amazon Kinesis and Amazon S3 in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps

Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to protect your cloud applications from unwanted traffic using Google Cloud Armor and Firewall Rules in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 5 Lab steps

Author: Parveen Singh; Difficulty: Beginner; Description: Learn how to implement governance and organize cloud resources using resource tags in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use AWS's natural language processing service Amazon Comprehend in this hands-on laboratory.; Duration: Up to 50 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps

Author: Rebecca Hom; Difficulty: Beginner; Description: In this lab, you will be working with the HTML document. You will create the foundational elements that make up a webpage.; Duration: Up to 45 minutes; Content Topics: Development; This hands-on lab has: 8 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: Put your AWS Systems Manager Parameter Store and AWS Lambda skills to the test in a real environment in this hands-on lab challenge.; Duration: Up to 50 minutes; Content Topics: Amazon Web Services; This lab challenge has: 2 Lab steps

Author: Dave Bedford; Difficulty: Beginner; Description: Understand and learn to create a resource in an existing Resource Group.; Duration: Up to 1 hour and 3 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps

Author: Adil Islam; Difficulty: Beginner; Description: In this lab, you will learn how to use parameters and variables in a Bicep template, then extend this to referencing parameters in a separate file.; Duration: Up to 45 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps

Author: Calculated Systems; Difficulty: Intermediate; Duration: 54 minutes and 27 seconds; Content Topics: Artificial Intelligence; This course has: 8 Units

Author: Daniel Mease; Difficulty: Intermediate; Description: This course is designed to help you prepare for the Google Cloud Certified - Professional Cloud Database Engineer Exam.; Duration: Up to 21 hours and 48 minutes; Content Topics: Google Cloud Platform; This learning path has: 1 Resource, 14 Courses, 2 Lab challenges, 1 Exam, 11 Hands-on labs

Author: Andrea Giussani; Difficulty: Advanced; Description: The aim of this lab is to challenge you on building a supervised machine learning pipeline to predict the probability that a subject will suffer from a heart stroke.; Duration: Up to 1 hour; Content Topics: Machine Learning; This lab challenge has: 2 Lab steps

Author: Stefano Cascavilla; Difficulty: Advanced; Description: In this lab, you will leverage the Serverless Framework to build and deploy an asynchronous microservice following the Fanout pattern. You will use SNS and SQS, and you will deploy the resources with the Serverless Framework.; Duration: Up to 1 hour and 15 minutes; Content Topics: Serverless; This hands-on lab has: 5 Lab steps

Author: Ana Rojo Echeburua; Difficulty: Intermediate; Description: Lab for Module 2 of the Building AI Agents course.; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 1 Lab step