Amazon Web Services Training Library
The demand for the workforce to be able to operate in the cloud is growing exponentially. Cloud Academy offers easy access to the new generation of cloud training, for professionals and enterprise. The Amazon Web Services Training Library is a hub of highly-rated resources including learning paths, courses, labs, quizzes, and exams to enable you to get the right training to put you on the right track for AWS success.
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12 to 24 of 967 results
Search results 12 - 24 of 967Category: AWS
- HANDS-ON LABAndrew BurchillReacting to CodeCommit Events with AWS LambdaBeginnerDuration: Up to 2 hoursAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to invoke a Lambda function in response to CodeCommit events on your repository.; Duration: Up to 2 hours; Content Topics: Serverless; This hands-on lab has: 7 Lab steps
- HANDS-ON LABAndrew BurchillCollecting Log Data with Kinesis Agent and Querying with Amazon AthenaBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the Amazon Kinesis Agent application to collect log files and learn how to use AWS Glue and Amazon Athena to query the log data.; Duration: Up to 1 hour and 30 minutes; Content Topics: App Streaming; This hands-on lab has: 6 Lab steps
- HANDS-ON LABLogan RakaiAmazon Athena Playground (COVID-19 Data)BeginnerDuration: Up to 2 hoursAuthor: Logan Rakai; Difficulty: Beginner; Description: This Amazon Athena playground lab provides you with an Athena sandbox for you to use SQL to query COVID-19 data provided by the AWS COVID-19 data lake.; Duration: Up to 2 hours; Content Topics: Analytics; This hands-on lab has: 2 Lab steps
- HANDS-ON LABLogan RakaiUsing SageMaker Notebooks to Train and Deploy Machine Learning ModelsIntermediateDuration: Up to 1 hourAuthor: Logan Rakai; Difficulty: Intermediate; Description: In this lab, you'll use a SageMaker notebook to learn how to write Python code to prepare data, train and deploy models, and use them for real-time inference.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps
- HANDS-ON LABAndrew TempletonGoverning AWS accounts with AWS Config and AWS CloudTrailIntermediateDuration: Up to 1 hourAuthor: Andrew Templeton; Difficulty: Intermediate; Description: Learn how to configure resources in AWS Config and AWS CloudTrail to monitor, audit, and report account activity in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Management, Security, Monitoring; This hands-on lab has: 8 Lab steps
- HANDS-ON LABStefano CascavillaUse AWS Fargate for Serverless Deployment of Container ApplicationsIntermediateDuration: Up to 2 hoursAuthor: Stefano Cascavilla; Difficulty: Intermediate; Duration: Up to 2 hours; Content Topics: Containers; This hands-on lab has: 9 Lab steps
- HANDS-ON LABAndrew BurchillExamining the AWS Security Token Service (STS)BeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the AWS Security Token Service to assume AWS IAM Roles in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps
- HANDS-ON LABAndrew BurchillImproving Application Performance and Resiliency Using Amazon RDS ProxyBeginnerDuration: Up to 1 hour and 15 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use an Amazon RDS Proxy to make your database-backed applications more performant and resilient in this hands-on lab.; Duration: Up to 1 hour and 15 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps
- HANDS-ON LABLogan RakaiDetecting EC2 Threats with Amazon GuardDutyBeginnerDuration: Up to 50 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Learn how to use Amazon GuardDuty to automatically uncover malicious EC2 activity and configure threat lists to improve the security of your AWS environments.; Duration: Up to 50 minutes; Content Topics: Security; This hands-on lab has: 7 Lab steps
- HANDS-ON LABJun FritzWorking with the AWS CDK v2 ToolkitIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to work with the AWS CDK v2 Toolkit and its subcommands to develop your CDK applications in this hands-on IDE lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Serverless; This hands-on lab has: 7 Lab steps
- HANDS-ON LABLogan RakaiTensorFlow Machine Learning on the Amazon Deep Learning AMIIntermediateDuration: Up to 1 hour and 40 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Description: Develop, visualize, serve, and consume a TensorFlow machine learning model using the Amazon Deep Learning AMI in this Lab.; Duration: Up to 1 hour and 40 minutes; Content Topics: Machine Learning; This hands-on lab has: 9 Lab steps
- HANDS-ON LABLogan RakaiUsing an MXNet Neural Network to Style ImagesIntermediateDuration: Up to 1 hour and 10 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Description: Join this Lab and gain experience using an MXNet convolutional neural network to style images and monitor the GPU used for training in Amazon CloudWatch.; Duration: Up to 1 hour and 10 minutes; Content Topics: Machine Learning; This hands-on lab has: 7 Lab steps
- HANDS-ON LABLogan RakaiAnalyzing CPU vs GPU Performance for AWS Machine LearningBeginnerDuration: Up to 45 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Take control of a p2.xlarge instance equipped with an NVIDIA Tesla K80 GPU to perform CPU vs GPU performance analysis for AWS Machine Learning in this Lab.; Duration: Up to 45 minutes; Content Topics: Machine Learning; This hands-on lab has: 8 Lab steps
- HANDS-ON LABLogan RakaiServerless Web Development with Python for AWSIntermediateDuration: Up to 2 hoursAuthor: Logan Rakai; Difficulty: Intermediate; Description: Practice serverless web development with Python for AWS by deploying an app that uses the Serverless Application Model (SAM), Cognito user pools, and DynamoDB.; Duration: Up to 2 hours; Content Topics: Amazon Web Services; This hands-on lab has: 12 Lab steps
- HANDS-ON LABJeremy CookAmazon EKS - Building a Cloud Native ApplicationIntermediateDuration: Up to 2 hours and 15 minutesAuthor: Jeremy Cook; Difficulty: Intermediate; Description: In this hands-on lab, you'll learn how to create and deploy a cloud-native application voting webapp into an Amazon EKS cluster.; Duration: Up to 2 hours and 15 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 7 Lab steps
- HANDS-ON LABAndrew BurchillDeploy a Highly Available Serverless Application Using AWS ServicesIntermediateDuration: Up to 2 hoursAuthor: Andrew Burchill; Difficulty: Intermediate; Description: Learn how to deploy a highly available website using AWS, with a scenario based on challenges, like time restrictions, and cost limitations many websites face.; Duration: Up to 2 hours; Content Topics: Amazon Web Services; This hands-on lab has: 8 Lab steps
- HANDS-ON LABLogan RakaiVPN Connections with an Amazon VPC Using Dynamic RoutingAdvancedDuration: Up to 2 hours and 15 minutesAuthor: Logan Rakai; Difficulty: Advanced; Description: Set Up VPN Connections with an Amazon Virtual Private Cloud using dynamic routing (BGP), and manage traffic using multi-homed routers; Duration: Up to 2 hours and 15 minutes; Content Topics: Networking, Security; This hands-on lab has: 8 Lab steps
- COURSEKesha WilliamsUsing Amazon Alexa to Perform Voice Activated CI/CD Build and DeploymentsIntermediateDuration: 28 minutes and 38 secondsAuthor: Kesha Williams; Difficulty: Intermediate; Duration: 28 minutes and 38 seconds; Content Topics: Continuous Deployment, Continuous Integration; This course has: 6 Lectures
- COURSEJeremy Cook.Net Microservices - Build Deployment and Hosting - Lesson TwoAdvancedDuration: 2 hours and 11 minutesAuthor: Jeremy Cook; Difficulty: Advanced; Duration: 2 hours and 11 minutes; Content Topics: Serverless; This course has: 11 Lectures
- COURSEAndrew LarkinManaging Cloud Networking at Scale - Chalk Talk with AviatrixIntermediateDuration: 1 hour and 15 minutesAuthor: Andrew Larkin; Difficulty: Intermediate; Duration: 1 hour and 15 minutes; Content Topics: Networking; This course has: 6 Lectures
- COURSEShane GibsonAWS Big Data Specialty - ProcessingIntermediateDuration: 1 hour and 15 minutesAuthor: Shane Gibson; Difficulty: Intermediate; Duration: 1 hour and 15 minutes; Content Topics: Serverless; This course has: 10 Lectures
- COURSEJorge NegrónUsing Amazon Route 53 to Route End Users to Internet ApplicationsBeginnerDuration: 23 minutes and 28 secondsAuthor: Jorge Negrón; Difficulty: Beginner; Duration: 23 minutes and 28 seconds; Content Topics: Networking, Content Delivery Networking; This course has: 8 Lectures
- COURSEWill MeadowsUsing Automation to Deploy AWS DatabasesIntermediateDuration: 9 minutes and 42 secondsAuthor: Will Meadows; Difficulty: Intermediate; Duration: 9 minutes and 42 seconds; Content Topics: Databases; This course has: 7 Lectures
- LEARNING PATHAndrew LarkinUPDATEDGet Started Building Cloud SolutionsBeginnerDuration: Up to 14 hours and 59 minutesAuthor: Andrew Larkin; Type: updated learning path; Difficulty: Beginner; Description: Start building your practical knowledge of the latest AWS tools and services with this AWS course.; Duration: Up to 14 hours and 59 minutes; Content Topics: Amazon Web Services; This learning path has: 14 Courses, 6 Exams, 1 Hands-on lab