Training Library

Learn cloud computing, test your cloud skills, and understand how to approach and solve business problems with real cloud scenarios across Amazon Web Services, Microsoft Azure, Google Cloud, DevOps, and other cloud ecosystem services. New content and updates are added every month.

New this month in our library

HANDS-ON LAB
QA
NEW
Live Lab QASREE-BL: Lab 5 DR Site creation
Beginner
Duration: Up to 3 hours
Author: QA; Type: new hands-on lab; Difficulty: Beginner; Description: This lab is focused on creating a DR site for AWS. If the Primary site resources have issues that affect service availability, it is important that this is detected and, where appropriate, automatic remedial action is performed. During this lab, you will be challenged to take an existing environment consisting of a basic web frontend, provisioned by an autoscaling group and database backend and provision a 'Pilot Light' DR site. As this is a challenge-style lab, you will only be given high-level instructions with supporting information when required.; Duration: Up to 3 hours; This hands-on lab has: 13 Lab steps
HANDS-ON LAB
QA
NEW
Live Lab QASREE-BL: Lab 4 Stress Testing
Beginner
Duration: Up to 3 hours
Author: QA; Type: new hands-on lab; Difficulty: Beginner; Description: This lab uses an AWS infrastructure — Web, Application, and Database, to help you explore stress testing tools such as Stress, JMeter and BlazeMeter; Duration: Up to 3 hours; This hands-on lab has: 12 Lab steps
HANDS-ON LAB
QA
NEW
Live Lab QASREE-BL : Lab 3 Monitoring
Beginner
Duration: Up to 3 hours
Author: QA; Type: new hands-on lab; Difficulty: Beginner; Description: This lab takes you through the steps of setting up monitoring in the cloud. Using EC2s you will use Prometheus metrics, Grafana dashboards, and Splunk for logging.; Duration: Up to 3 hours; This hands-on lab has: 9 Lab steps

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LEARNING PATH
Developing Your Verbal Communication Skills
Beginner
Duration: Up to 51 minutes
Difficulty: Beginner; Description: This course looks at how to develop your verbal communication skills in the workplace in order to become a more effective leader.; Duration: Up to 51 minutes; This learning path has: 5 Courses, 2 Exams
LEARNING PATH
AI for Behavioral Analysis Best Practice
Intermediate
Duration: Up to 56 minutes
Difficulty: Intermediate; Description: This course explores tools and techniques for leveraging AI for behavioral analysis, while addressing ethical concerns and implementation challenges.; Duration: Up to 56 minutes; This learning path has: 5 Courses, 2 Exams
LEARNING PATH
AI Literacy: Safe and Compliant AI Use for All Staff
Beginner
Duration: Up to 2 hours and 8 minutes
Difficulty: Beginner; Description: This is the digital module for AI Literacy: Safe and Compliant AI Use for All Staff.; Duration: Up to 2 hours and 8 minutes; This learning path has: 6 Courses, 1 Exam
LEARNING PATH
AI for Personalization Best Practice‎
Intermediate
Duration: Up to 51 minutes
Difficulty: Intermediate; Description: In this course, we look at how organizations can plan and implement AI personalization strategies and tactics to maximize loyalty, retention, and conversion.; Duration: Up to 51 minutes; This learning path has: 5 Courses, 2 Exams
LEARNING PATH
CRM Essentials
Beginner
Duration: Up to 52 minutes
Difficulty: Beginner; Description: Covering the fundamentals of the CRM ecosystem, this course unpacks this vital technology, examining what it is, how it works and what it offers business.; Duration: Up to 52 minutes; This learning path has: 5 Courses, 2 Exams
LEARNING PATH
eCommerce Essentials for Leaders
Beginner
Duration: Up to 13 minutes
Difficulty: Beginner; Description: An overview of the changing retail landscape, and importance of business leaders taking ownership of eCommerce strategy to achieve profitable growth.; Duration: Up to 13 minutes; This learning path has: 1 Course
LEARNING PATH
Thomas Mitchell
Using Generative AI in Azure and Microsoft Power Platform
Beginner
Duration: Up to 1 hour and 22 minutes
Author: Thomas Mitchell; Difficulty: Beginner; Description: This course is designed to teach you the basics of Generative AI in Azure and Microsoft Power Platform.; Duration: Up to 1 hour and 22 minutes; Content Topics: Development, Artificial Intelligence; This learning path has: 4 Courses
HANDS-ON LAB
Parveen Singh
Deploying a Windows Azure VM using Azure CLI
Beginner
Duration: Up to 1 hour
Author: Parveen Singh; Difficulty: Beginner; Description: In this lab, you'll learn how to work with Azure CLI to create and manage the Azure resources.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps
HANDS-ON LAB
Eric Raub
Getting Started with Jenkins on Windows (AWS)
Intermediate
Duration: Up to 1 hour and 45 minutes
Author: Eric Raub; Difficulty: Intermediate; Description: Get started today with Jenkins on Windows - AWS, one of the most popular cross-platform DevOps automation systems.; Duration: Up to 1 hour and 45 minutes; Content Topics: Networking, DevOps, Security; This hands-on lab has: 10 Lab steps
HANDS-ON LAB
Stefano Cascavilla
Getting Started with Amazon Simple Notification Service
Beginner
Duration: Up to 1 hour
Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you'll be introduced to Amazon Simple Notification Service (SNS). Get started today!; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 8 Lab steps
HANDS-ON LAB
Andrew Burchill
AWS CloudFormation Playground
Beginner
Duration: Up to 4 hours
Author: Andrew Burchill; Difficulty: Beginner; Description: Learn at your own pace as you explore the AWS CloudFormation service in this extended hands-on playground lab.; Duration: Up to 4 hours; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps
LAB CHALLENGE
Andrew Burchill
Amazon CloudWatch Metric Filtering Challenge
Beginner
Duration: Up to 50 minutes
Author: Andrew Burchill; Difficulty: Beginner; Description: Put your Amazon CloudWatch skills to the test in this hands-on challenge lab as you are tasked with creating a metric filter and an alarm.; Duration: Up to 50 minutes; Content Topics: Amazon Web Services; This lab challenge has: 2 Lab steps
HANDS-ON LAB
Logan Rakai
Deploy Container Workloads with Amazon Lightsail
Beginner
Duration: Up to 1 hour
Author: Logan Rakai; Difficulty: Beginner; Description: Use Lightsail containers to deploy a container workload and monitor it in this lab.; Duration: Up to 1 hour; Content Topics: Compute; This hands-on lab has: 5 Lab steps
HANDS-ON LAB
Luke Orellana
Testing Terraform Code in Azure with Terratest
Advanced
Duration: Up to 50 minutes
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 50 minutes; Content Topics: Deployment, DevOps; This hands-on lab has: 2 Lab steps
HANDS-ON LAB
Luke Orellana
Passing Outputs Between Terraform Modules with Terragrunt in Azure
Advanced
Duration: Up to 40 minutes
Author: Luke Orellana; Difficulty: Advanced; Description: Learn advanced Terraform techniques by reducing the blast radius of critical infrastructure using Terragrunt to deploy an environment with separate Terraform states.; Duration: Up to 40 minutes; Content Topics: Deployment, DevOps; This hands-on lab has: 2 Lab steps
HANDS-ON LAB
Luke Orellana
Keeping Terraform Remote State DRY with Terragrunt in Azure
Advanced
Duration: Up to 40 minutes
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 40 minutes; Content Topics: Deployment, DevOps; This hands-on lab has: 2 Lab steps
HANDS-ON LAB
Logan Rakai
Linux Terminal Playground (Red Hat)
Beginner
Duration: Up to 4 hours
Author: Logan Rakai; Difficulty: Beginner; Description: Practice your Linux skills in this lab and get familiar with Red Hat Linux by accessing a long-running instance browser terminal.; Duration: Up to 4 hours; Content Topics: Operating System; This hands-on lab has: 2 Lab steps
HANDS-ON LAB
Jeremy Cook
Kubernetes Monitoring Playground (Kubernetes Dashboard, Prometheus, and Grafana)
Intermediate
Duration: Up to 4 hours
Author: Jeremy Cook; Difficulty: Intermediate; Description: In this hands-on lab playground, you'll have the opportunity to play around with a production-grade, preconfigured Kubernetes monitoring environment consisting of the Kubernetes Dashboard, Prometheus, and Grafana.; Duration: Up to 4 hours; Content Topics: DevOps, Monitoring, Deployment, Compute; This hands-on lab has: 4 Lab steps
LAB CHALLENGE
Logan Rakai
Python Challenge: Raindrops
Beginner
Duration: Up to 15 minutes
Author: Logan Rakai; Difficulty: Beginner; Description: Convert a number into a string that contains raindrop sounds corresponding to certain potential factors in this lab challenge.; Duration: Up to 15 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps
LAB CHALLENGE
Logan Rakai
Python Challenge: Reverse String
Beginner
Duration: Up to 15 minutes
Author: Logan Rakai; Difficulty: Beginner; Description: Write code to reverse a given string in this lab challenge.; Duration: Up to 15 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps
HANDS-ON LAB
Luke Orellana
Building Azure ML Pipelines using the Azure Machine Learning SDK
Intermediate
Duration: Up to 1 hour and 30 minutes
Author: Luke Orellana; Difficulty: Intermediate; Description: In this lab, use Azure's Machine Learning SDK to build an ML Pipeline to train and deploy a model.; Duration: Up to 1 hour and 30 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps
HANDS-ON LAB
Calculated Systems
Capturing New Knowledge from Your Data
Intermediate
Duration: Up to 1 hour and 15 minutes
Author: Calculated Systems; Difficulty: Intermediate; Description: In this lab, you'll learn how to utilize SQL aggregate functions and utilize complex functions, and learn how to get complex insights from your data.; Duration: Up to 1 hour and 15 minutes; Content Topics: SQL; This hands-on lab has: 3 Lab steps
HANDS-ON LAB
Calculated Systems
Working With Complex Rest APIs
Beginner
Duration: Up to 1 hour
Author: Calculated Systems; Difficulty: Beginner; Description: This lab will dive into understanding GET, POST, DELETE, and PATCH HTTP verbs and will teach you to use Python to interact with an REST API.; Duration: Up to 1 hour; Content Topics: Web; This hands-on lab has: 2 Lab steps
HANDS-ON LAB
Calculated Systems
Getting Started with Natural Language Processing
Beginner
Duration: Up to 1 hour
Author: Calculated Systems; Difficulty: Beginner; Description: This lab is aimed at machine learning beginners who want to gain a familiarity with Natural Language Processing (NLP) concepts.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps