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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Certification Prep
- HANDS-ON LABJun Fritz
Building Interactive Machine Learning and Data Science Applications With StreamlitBeginnerDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to leverage the Streamlit framework to build interactive machine learning and data science applications on AWS in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Development, Storage, Artificial Intelligence; This hands-on lab has: 4 Lab steps - HANDS-ON LABAndrew Burchill
Archiving On-Premises Storage With AWS DataSyncBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the AWS DataSync service to archive data from an NFS storage server to Amazon S3 in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Storage, Compute; This hands-on lab has: 5 Lab steps - HANDS-ON LABAndrew BurchillUsing the IAM Policy Simulator to Test IAM PoliciesIntermediateDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Intermediate; Description: Learn how to use the web-based IAM Policy Simulator and the AWS Command line Interface to test AWS IAM policies 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 LABJun FritzSimplifying Infrastructure Management With Terraform Registry ModulesBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to use public modules from the Terraform Registry to simplify infrastructure management in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps
- HANDS-ON LABLogan Rakai
Amazon EKS PlaygroundBeginnerDuration: Up to 4 hoursAuthor: Logan Rakai; Difficulty: Beginner; Description: Explore the Amazon EKS in this hands-on playground lab.; Duration: Up to 4 hours; Content Topics: Amazon Web Services; This hands-on lab has: 1 Lab step - LAB CHALLENGEJun FritzAmazon Elastic Kubernetes Service End-to-End ChallengeIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Put your Amazon EKS skills to the test in this hands-on lab as you are tasked with deploying a Kubernetes cluster from beginning to end.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This lab challenge has: 1 Lab step
- LAB CHALLENGEAndrew BurchillAmazon ECS Integrations ChallengeIntermediateDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Intermediate; Description: Put your AWS and terraform skills to the test as you are tasked with integrating SQS, SNS, and ElastiCache with an existing ECS cluster.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This lab challenge has: 1 Lab step
- HANDS-ON LABJun FritzBuilding a Serverless Versioning Solution for Amazon S3 Bucket PoliciesBeginnerDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to build a versioning solution for Amazon S3 bucket policies using a serverless architecture 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 LABQA
QA HTML/CSS/JS ExampleBeginnerDuration: Up to 2 hoursAuthor: QA; Difficulty: Beginner; Description: QA HTML/CSS/JS Example; Duration: Up to 2 hours; Content Topics: Development; This hands-on lab has: 3 Lab steps - HANDS-ON LABQAAI Engineer L6 M1 Workshop Day 1 LabIntermediateDuration: Up to 7 hoursAuthor: QA; Difficulty: Intermediate; Description: AI Engineer L6 M1 Workshop Day 1 Lab; Duration: Up to 7 hours; Content Topics: Machine Learning; This hands-on lab has: 3 Lab steps
- HANDS-ON LABLogan RakaiMulticloud Networking: Securely Connecting Virtual Networks in AWS and AzureBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Learn how to securely connect virtual networks in AWS and Azure in this multicloud lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Networking; This hands-on lab has: 8 Lab steps
- HANDS-ON LABAndrew BurchillTracking Generative AI Usage With Amazon Bedrock Inference ProfilesBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create Amazon Bedrock inference profiles and use them to track model usage.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps
- HANDS-ON LABJun FritzBuilding a Generative AI Workflow With Amazon Bedrock FlowsBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to create and customize a generative AI workflow using Amazon Bedrock Flows in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 4 Lab steps
- HANDS-ON LABAndrew BurchillImplementing an ETL Pipeline with AWS SDK for PandasBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the AWS SDK for Pandas to process real-time transaction data 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 FritzDeveloping Prompts With Amazon Bedrock Prompt ManagementBeginnerDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to create, test, and publish prompts with Amazon Bedrock Prompt Management in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps
- HANDS-ON LABMark Secrist
Building a Python Client for Amazon DynamoDBIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Mark Secrist; Difficulty: Intermediate; Description: Creating a Python client for Amazon DynamoDB; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps - LAB CHALLENGEJun FritzAmazon Bedrock Guardrails ChallengeBeginnerDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Beginner; Description: Put your Amazon Bedrock knowledge to the test by configuring guardrails for a fictional company in this hands-on lab challenge.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This lab challenge has: 1 Lab step
- HANDS-ON LABJun FritzGenerating Custom Images and Variations with Amazon BedrockIntermediateDuration: Up to 40 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Generate images and variations using the Amazon Bedrock Image Playground and runtime in this hands-on lab.; Duration: Up to 40 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 3 Lab steps
- HANDS-ON LABJun FritzImplementing Conversational Memory Using LangChain and Amazon DynamoDBIntermediateDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Leverage the LangChain framework to store and manage conversation history in Amazon DynamoDB in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps
- HANDS-ON LABJun FritzWorking With Conversational Memory and the Amazon Bedrock Converse APIBeginnerDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to incorporate the Amazon Bedrock Converse API and conversational memory into your large language model application in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps
- HANDS-ON LABJun FritzDeveloping Chains and Runnables With the LangChain Expression Language (LCEL)BeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Step through an application to learn about the LangChain Expression Language (LCEL) and how to develop chains and custom runnables in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 2 Lab steps
- HANDS-ON LABAndrew BurchillPerforming Data Quality Checks Using an Amazon Athena NotebookBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use an Amazon Athena Notebook to perform data quality checks in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 2 Lab steps
- HANDS-ON LABJun FritzFormatting Large Language Model Inputs With LangChain Prompt TemplatesBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to leverage LangChain Prompt Templates to format large language model inputs for better performance and accuracy in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps
- HANDS-ON LABAndrew BurchillUsing Amazon DocumentDB to Store and Search Vector DataBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Lean how to use Amazon DocumentDB's vector search functionality in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Development, Databases; This hands-on lab has: 4 Lab steps