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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 LABJun Fritz
From Code to Intent: Build Your First Kiro WorkflowBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to use AWS Kiro's spec-driven workflow to build and deploy a serverless application on AWS, transforming plain language intent into production-ready code in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 4 Lab steps - COURSEGrounding, accuracy, and strategic integrationAdvancedDuration: 13 minutes and 51 secondsDifficulty: Advanced; Duration: 13 minutes and 51 seconds; This course has: 7 Units
- COURSEPersonal AI assistants and advanced prompting patternsAdvancedDuration: 10 minutes and 19 secondsDifficulty: Advanced; Duration: 10 minutes and 19 seconds; This course has: 6 Units
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Personalized training tailored to your proficiency. Skip content you already know and focus on your gaps- HANDS-ON LABParveen Singh
Building Generative Search Application using Azure AI Search and OpenAIAdvancedDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Advanced; Description: Learn how to work with Azure AI Search and OpenAI to build a generative search application in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps - HANDS-ON LABAndrew Burchill
Deploying Large Language Models Using Ray ServeBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the scalable Ray Serve framework to performantly deploy a large language model in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 4 Lab steps - 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
Designing Network Topology Using Azure Network ManagerIntermediateDuration: Up to 1 hourAuthor: 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 LABAndrew Burchill
Centralizing Data Management With AWS Lake FormationBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use AWS Lake Formation and AWS Glue to manage permissions and dataset metadata for a data lake in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Analytics, Storage; This hands-on lab has: 4 Lab steps - HANDS-ON LABAndrew Burchill
Continuously Detecting Vulnerabilities With Amazon InspectorBeginnerDuration: Up to 1 hourAuthor: 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 LABJun Fritz
Managing Secrets With Terraform and AWS Secrets ManagerIntermediateDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to manage secrets in your infrastructure-as-code using Terraform and AWS Secrets Manager.; Duration: Up to 30 minutes; Content Topics: Security, Deployment; This hands-on lab has: 1 Lab step - HANDS-ON LABParveen Singh
Handling Azure Storage Account Blob Changes With Azure Logic App WorkflowIntermediateDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Intermediate; Description: Learn how to handle Azure Storage Account Blob changes with Azure Logic App workflow in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Development, Storage; This hands-on lab has: 3 Lab steps - HANDS-ON LABBen Lambert
Observability: Open TelemetryIntermediateDuration: Up to 2 hours and 30 minutesAuthor: 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 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
Git ReflogAdvancedDuration: Up to 1 hourAuthor: Ben Lambert; Difficulty: Advanced; Description: Git reflog can recover lost commits, branches, and changes. Explore the 'git reflog' command with this hands-on lab.; Duration: Up to 1 hour; Content Topics: DevOps; This hands-on lab has: 2 Lab steps - LAB CHALLENGEAndrew Burchill
Amazon Elastic Container Service End-To-End ChallengeBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Put your Amazon ECS skills to the test in this hands-on lab as you are tasked with deploying a container from beginning to end.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This lab challenge has: 1 Lab step - HANDS-ON LABBen Lambert
Undoing Changes in Different States of GitIntermediateDuration: Up to 1 hourAuthor: Ben Lambert; Difficulty: Intermediate; Description: Git includes multiple commands for undoing changes, depending on the situation. This hands-on lab covers the reset and revert commands.; Duration: Up to 1 hour; This hands-on lab has: 3 Lab steps - HANDS-ON LABAndrew Burchill
Auto scaling and testing an Amazon ECS deploymentBeginnerDuration: Up to 1 hourAuthor: 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 LABJun Fritz
Monitoring Amazon ECS Resources With Amazon CloudWatchIntermediateDuration: Up to 45 minutesAuthor: 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 LABJun Fritz
Examining an AWS App Runner ServiceBeginnerDuration: Up to 45 minutesAuthor: 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 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 - LAB CHALLENGEAndrew Burchill
AWS Lambda and Private Amazon VPC ChallengeIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Intermediate; Description: Put your AWS Lambda skills to the test in the hands-on challenge as you are tasked with deploying a private AWS Lambda function.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This lab challenge has: 1 Lab step - HANDS-ON LABBen Lambert
Docker: Building ServicesIntermediateDuration: Up to 2 hoursAuthor: Ben Lambert; Difficulty: Intermediate; Description: Gain further insights into Docker Engine by creating a multi-container service without Compose. This hands-on lab steps through the creation of a three container web application.; Duration: Up to 2 hours; Content Topics: Containers; This hands-on lab has: 5 Lab steps - HANDS-ON LABJun Fritz
Configuring AWS Lambda LayersIntermediateDuration: Up to 1 hourAuthor: 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 LABBen Lambert
Python: ExceptionsIntermediateDuration: Up to 2 hoursAuthor: 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 LABJeremy Cook
Monitoring Amazon CloudWatch Log Group SizesBeginnerDuration: Up to 1 hourAuthor: 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