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- HANDS-ON LABQA
NEWLive Lab QASREE-BL: Lab 5 DR Site creationBeginnerDuration: Up to 3 hoursAuthor: 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 LABQA
NEWLive Lab QASREE-BL: Lab 4 Stress TestingBeginnerDuration: Up to 3 hoursAuthor: 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 LABQA
NEWLive Lab QASREE-BL : Lab 3 MonitoringBeginnerDuration: Up to 3 hoursAuthor: 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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Personalized training tailored to your proficiency. Skip content you already know and focus on your gaps- HANDS-ON LABJun Fritz
Orchestrating Generative AI Applications With AWS Step Functions and Amazon BedrockIntermediateDuration: Up to 1 hour and 15 minutesAuthor: 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 LABJun Fritz
Invoking Amazon Bedrock Models Using the Bedrock Runtime and AWS LambdaIntermediateDuration: Up to 1 hour and 15 minutesAuthor: 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 LABAndrew Burchill
Using IAM Roles Anywhere to Access Resources From Outside AWSBeginnerDuration: Up to 1 hour and 30 minutesAuthor: 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 LABParveen Singh
Creating a Language Understanding Model Using Azure Language ServiceAdvancedDuration: Up to 1 hourAuthor: 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 LABJun Fritz
Evaluating Network Security With Amazon VPC Network Access AnalyzerBeginnerDuration: Up to 45 minutesAuthor: 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 LABJun Fritz
Managing Tasks With Amazon EventBridge SchedulerBeginnerDuration: Up to 1 hourAuthor: 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 LABBen Lambert
Docker: Exploring the DockerfileIntermediateDuration: Up to 3 hoursAuthor: 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 LABStefano Cascavilla
Working With Incremental dbt ModelsBeginnerDuration: Up to 1 hourAuthor: 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 - LAB CHALLENGEAndrew Burchill
Amazon API Gateway REST ChallengeBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Test your Amazon API Gateway skills as you are tasked with setting up a new REST API in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This lab challenge has: 2 Lab steps - HANDS-ON LABParveen Singh
Working with Azure AI Document Intelligence ServiceIntermediateDuration: Up to 1 hourAuthor: 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 - HANDS-ON LABJeremy Cook
Amazon EKS - Using the AWS Load Balancer Controller to Expose ApplicationsIntermediateDuration: Up to 2 hours and 30 minutesAuthor: Jeremy Cook; Difficulty: Intermediate; Description: The AWS Load Balancer Controller is used to help manage and control the provisioning of ALBs (Ingress resources) and NLBs (Service resources - type LoadBalancer). You'll learn how to deploy the AWS Load Balancer Controller into EKS, and then deploy and publicly expose a Web app and TCP app within the cluster.; Duration: Up to 2 hours and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 12 Lab steps - LAB CHALLENGEAndrew Burchill
Amazon Data Firehose and Amazon CloudWatch ChallengeBeginnerDuration: Up to 50 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Test your Amazon Data Firehose and Amazon CloudWatch logs skills in this hands-on challenge where you are tasked with building out a logging solution.; Duration: Up to 50 minutes; Content Topics: Amazon Web Services; This lab challenge has: 2 Lab steps - LAB CHALLENGELogan Rakai
Go Challenge: Leap YearsBeginnerDuration: Up to 20 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: In this challenge, you will write code in the Go programming language to determine whether a given year is a leap year.; Duration: Up to 20 minutes; Content Topics: Development; This lab challenge has: 2 Lab steps - HANDS-ON LABParveen Singh
Implementing Governance using Resource TagsBeginnerDuration: Up to 30 minutesAuthor: 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 - HANDS-ON LABAndrew Burchill
Analyzing Sentiments and Entities in Text with Amazon ComprehendBeginnerDuration: Up to 50 minutesAuthor: 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 - HANDS-ON LABAdil Islam
Utilizing Parameter Files with Azure Bicep TemplatesIntermediateDuration: Up to 1 hourAuthor: Adil Islam; Difficulty: Intermediate; Description: In this lab, you will learn how to pass parameter values for Azure Bicep Templates using parameter files.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps - HANDS-ON LABAdil Islam
Using Parameters and Variables with Azure Bicep TemplatesBeginnerDuration: Up to 45 minutesAuthor: 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 - HANDS-ON LABStefano Cascavilla
Query a Neo4j Graph Database With CypherIntermediateDuration: Up to 40 minutesAuthor: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will learn what a graph pattern is and you will perform graph queries using Cypher in a Neo4j database.; Duration: Up to 40 minutes; Content Topics: Graph Databases; This hands-on lab has: 3 Lab steps - HANDS-ON LABStefano Cascavilla
Create and Manage Graph Data With Neo4jIntermediateDuration: Up to 30 minutesAuthor: Stefano Cascavilla; Difficulty: Intermediate; Description: In this lab, you will create nodes inside a graph database. Then you will define relationships between these nodes to create an example of a property graph.; Duration: Up to 30 minutes; Content Topics: Graph Databases; This hands-on lab has: 3 Lab steps - HANDS-ON LABAndrew Burchill
Streamlining Amazon SageMaker Governance With Model CardsBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create a model card to document your Amazon SageMaker machine learning models 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 LABAndrew Burchill
Optimizing Prompts For Large Language Models Using Amazon BedrockBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to engineer and develop prompts for large language models in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 3 Lab steps - HANDS-ON LABParveen Singh
Analyzing and Moderating Text With Azure AI Content Safety Service Using Python SDKAdvancedDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Advanced; Description: Learn how to analyze and moderate text with the Azure AI Content Safety service using Python SDK in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 3 Lab steps - HANDS-ON LABBen Lambert
Docker: Building Services With ComposeAdvancedDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Advanced; Description: Containers are increasingly becoming more ubiquitous across a range of industries. Compose simplifies the creation and management of container based applications. Learn more in this hands-on lab environment.; Duration: Up to 2 hours; Content Topics: Containers; This hands-on lab has: 7 Lab steps - HANDS-ON LABBen Lambert
Python: PackagingAdvancedDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Advanced; Description: Packaging Python-based applications has evolved over time. Learn the current method for creating Python packages through hands-on learning.; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 2 Lab steps