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.

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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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HANDS-ON LAB
Jun Fritz
Developing an ETL Job in AWS Glue Studio
Beginner
Duration: Up to 45 minutes
Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to develop an AWS Glue job using the AWS Glue visual ETL editor in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Analytics; This hands-on lab has: 4 Lab steps
HANDS-ON LAB
Andrew Burchill
Monitoring Data Quality Issues with Amazon SageMaker
Beginner
Duration: Up to 1 hour and 30 minutes
Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create and configure a model monitor schedule in this hands on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps
HANDS-ON LAB
Parveen Singh
Working with Azure AI Translator Service
Beginner
Duration: Up to 45 minutes
Author: Parveen Singh; Difficulty: Beginner; Description: Learn how to create an Azure AI Translators service using the Azure Portal in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps
HANDS-ON LAB
Jun Fritz
Orchestrating Generative AI Applications With AWS Step Functions and Amazon Bedrock
Intermediate
Duration: Up to 1 hour and 15 minutes
Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to perform AI prompt-chaining and integrate Amazon Bedrock with AWS Step Functions in this hands-on lab.; Duration: Up to 1 hour and 15 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 4 Lab steps
HANDS-ON LAB
Jun Fritz
Invoking Amazon Bedrock Models Using the Bedrock Runtime and AWS Lambda
Intermediate
Duration: Up to 1 hour and 15 minutes
Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to invoke Amazon Bedrock models using the Amazon Bedrock API and AWS Lambda in this hands-on lab.; Duration: Up to 1 hour and 15 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps
HANDS-ON LAB
Andrew Burchill
Using IAM Roles Anywhere to Access Resources From Outside AWS
Beginner
Duration: Up to 1 hour and 30 minutes
Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to extend IAM roles and policies to non-AWS workloads in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 6 Lab steps
HANDS-ON LAB
Parveen Singh
Designing Network Topology Using Azure Network Manager
Intermediate
Duration: Up to 1 hour
Author: Parveen Singh; Difficulty: Intermediate; Description: Learn how to design various network topologies using Azure Network Manager and deploy them in your Azure environment.; Duration: Up to 1 hour; This hands-on lab has: 4 Lab steps
HANDS-ON LAB
Parveen Singh
Creating a Language Understanding Model Using Azure Language Service
Advanced
Duration: Up to 1 hour
Author: Parveen Singh; Difficulty: Advanced; Description: Learn how to create a language understanding model that can be used to classify text into categories using Azure Language Service.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 5 Lab steps
HANDS-ON LAB
Andrew Burchill
Continuously Detecting Vulnerabilities With Amazon Inspector
Beginner
Duration: Up to 1 hour
Author: Andrew Burchill; Difficulty: Beginner; Description: See how to activate and use Amazon Inspector to continuously detect vulnerabilities and exploits in your AWS workloads.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps
HANDS-ON LAB
Ben Lambert
Observability: Open Telemetry
Intermediate
Duration: Up to 2 hours and 30 minutes
Author: Ben Lambert; Difficulty: Intermediate; Description: OpenTelemetry has become the standard for collecting telemetry data from your applications and infrastructure. Learn how to instrument applications to provide key insights.; Duration: Up to 2 hours and 30 minutes; Content Topics: Site Reliability; This hands-on lab has: 9 Lab steps
HANDS-ON LAB
Jun Fritz
Evaluating Network Security With Amazon VPC Network Access Analyzer
Beginner
Duration: Up to 45 minutes
Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to identify unintended network access to AWS resources using Amazon VPC Network Access Analyzer in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Networking, Security; This hands-on lab has: 4 Lab steps
HANDS-ON LAB
Jun Fritz
Managing Tasks With Amazon EventBridge Scheduler
Beginner
Duration: Up to 1 hour
Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to create, run, and manage scheduled tasks at scale with Amazon EventBridge Scheduler in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps
HANDS-ON LAB
Andrew Burchill
Auto scaling and testing an Amazon ECS deployment
Beginner
Duration: Up to 1 hour
Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the AWS CLI to configure auto scaling for an Amazon ECS deployment in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps
HANDS-ON LAB
Jun Fritz
Monitoring Amazon ECS Resources With Amazon CloudWatch
Intermediate
Duration: Up to 45 minutes
Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to monitor and react to AWS ECS metrics using Amazon CloudWatch container insights in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps
HANDS-ON LAB
Jun Fritz
Examining an AWS App Runner Service
Beginner
Duration: Up to 45 minutes
Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to easily deploy web applications with no prior AWS experience by examining an AWS App Runner service in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: AWS App Runner; This hands-on lab has: 3 Lab steps
HANDS-ON LAB
Ben Lambert
Docker: Exploring the Dockerfile
Intermediate
Duration: Up to 3 hours
Author: Ben Lambert; Difficulty: Intermediate; Description: Gaining a mastery of Docker starts with the Dockerfile. Creating and maintaining Dockerfiles requires an understanding of the supported instructions. This hands-on lab explores the structure and usage of Dockerfiles.; Duration: Up to 3 hours; Content Topics: Containers; This hands-on lab has: 11 Lab steps
HANDS-ON LAB
Jun Fritz
Configuring AWS Lambda Layers
Intermediate
Duration: Up to 1 hour
Author: Jun Fritz; Difficulty: Intermediate; Description: Learn how to configure and share AWS Lambda layers in the AWS console and with the AWS SAM CLI in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps
HANDS-ON LAB
Ben Lambert
Python: Exceptions
Intermediate
Duration: Up to 2 hours
Author: Ben Lambert; Difficulty: Intermediate; Description: Understanding how to handle exceptions is an essential aspect of Python development. Learn how to create, handle, and raise exceptions in Python through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 5 Lab steps
HANDS-ON LAB
Jeremy Cook
Monitoring Amazon CloudWatch Log Group Sizes
Beginner
Duration: Up to 1 hour
Author: Jeremy Cook; Difficulty: Beginner; Description: CloudWatch Log Size Monitoring; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps
HANDS-ON LAB
Jun Fritz
Troubleshooting Terraform Environments
Beginner
Duration: Up to 45 minutes
Author: Jun Fritz; Difficulty: Beginner; Description: Learn how to troubleshoot, debug, and remediate failed Terraform environments and undesired resource configurations in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Deployment; This hands-on lab has: 4 Lab steps
HANDS-ON LAB
Jeremy Cook
Use Terraform to Create an Azure Load Balanced Web App
Intermediate
Duration: Up to 1 hour
Author: Jeremy Cook; Difficulty: Intermediate; Description: Learn how to use Terraform to provision an Azure Load Balanced Web App; Duration: Up to 1 hour; Content Topics: Deployment; This hands-on lab has: 2 Lab steps
HANDS-ON LAB
Stefano Cascavilla
Defining and Working With dbt Tests
Advanced
Duration: Up to 1 hour and 15 minutes
Author: Stefano Cascavilla; Difficulty: Advanced; Description: In this lab, you will understand what are dbt tests. You will then create a custom test, and test your sources and a model both with native dbt tests and with the custom dbt test.; Duration: Up to 1 hour and 15 minutes; Content Topics: Data build tool (dbt); This hands-on lab has: 7 Lab steps
HANDS-ON LAB
Ben Lambert
Python: Introduction to SQLAlchemy
Advanced
Duration: Up to 2 hours
Author: Ben Lambert; Difficulty: Advanced; Description: SQLAlchemy is a module designed to provide better developer ergonomics for database access and interactions. Learn how to interact with relational databases in Python with SQLAlchemy.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 7 Lab steps
HANDS-ON LAB
Stefano Cascavilla
Working With Incremental dbt Models
Beginner
Duration: Up to 1 hour
Author: Stefano Cascavilla; Difficulty: Beginner; Description: In this lab, you will understand what are incremental dbt models, and you will create two models by using the incremental materialization type.; Duration: Up to 1 hour; Content Topics: Data build tool (dbt); This hands-on lab has: 5 Lab steps