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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721 to 744 of 955 results
Search results 721 - 744 of 955Category: AWS
- 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 - LAB CHALLENGEJun Fritz
Amazon 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 FritzImplementing Safeguards for AI Applications With Amazon Bedrock GuardrailsBeginnerDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Configure an Amazon Bedrock Guardrail to ensure safe, responsible interactions with your AI applications in this hands-on lab.; Duration: Up to 30 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps
- HANDS-ON LABAndrew BurchillUsing Aurora RDS With an Amazon Bedrock Knowledge BaseBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to configure a custom vector store for use with an Amazon Bedrock Knowledge Base in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Security, Artificial Intelligence, Databases; This hands-on lab has: 5 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
- COURSEDanny Jessee
Amazon S3 Server Access LoggingBeginnerDuration: 13 minutes and 7 secondsAuthor: Danny Jessee; Difficulty: Beginner; Duration: 13 minutes and 7 seconds; Content Topics: Storage; This course has: 5 Lectures - COURSEAlana Layton
Amazon CodeGuru Profiler - Profile Application Using Machine LearningIntermediateDuration: 28 minutes and 31 secondsAuthor: Alana Layton; Difficulty: Intermediate; Duration: 28 minutes and 31 seconds; Content Topics: Development; This course has: 6 Lectures - COURSEAlana LaytonAmazon EC2 Capacity Blocks for MLIntermediateDuration: 17 minutes and 21 secondsAuthor: Alana Layton; Difficulty: Intermediate; Duration: 17 minutes and 21 seconds; Content Topics: Amazon Web Services; This course has: 5 Lectures
- COURSEAlana LaytonUnderstanding Custom Resources and Resource Types in AWS CloudFormationIntermediateDuration: 19 minutes and 29 secondsAuthor: Alana Layton; Difficulty: Intermediate; Duration: 19 minutes and 29 seconds; This course has: 5 Lectures
- HANDS-ON LABJun FritzStreamlining Workflows and Tasks With Amazon Bedrock AgentsBeginnerDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to configure, prepare, and test an Amazon Bedrock agent to perform functional and operational tasks in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 3 Lab steps
- HANDS-ON LABAndrew BurchillAccelerating SageMaker Training With HyperParameter TuningBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Automatic Model HyperParameter Tuning to accelerate machine learning model development in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps
- COURSENEWDeniz Yilmaz
Monitoring Model Inference With Amazon SageMakerBeginnerDuration: 35 minutes and 55 secondsAuthor: Deniz Yilmaz; Type: new course; Difficulty: Beginner; Duration: 35 minutes and 55 seconds; Content Topics: Machine Learning; This course has: 7 Lectures - COURSEStuart Scott
Harnessing the Power of Amazon CloudWatch LogsBeginnerDuration: 33 minutes and 57 secondsAuthor: Stuart Scott; Difficulty: Beginner; Duration: 33 minutes and 57 seconds; Content Topics: Management, Monitoring; This course has: 9 Lectures - QUIZAmazon LexDuration: Up to 4 minutesDescription: Amazon Lex; Duration: Up to 4 minutes; Content Topics: Machine Learning; This quiz has: 5 Questions
- QUIZAmazon AthenaDuration: Up to 4 minutesDescription: Amazon Athena; Duration: Up to 4 minutes; Content Topics: Analytics; This quiz has: 5 Questions
- QUIZInternet of Things for AWSDuration: Up to 4 minutesDescription: Internet of Things for AWS; Duration: Up to 4 minutes; Content Topics: Internet of Things; This quiz has: 5 Questions
- QUIZAmazon Simple WorkflowDuration: Up to 4 minutesDescription: Amazon Simple Workflow; Duration: Up to 4 minutes; Content Topics: Management; This quiz has: 5 Questions
- QUIZAWS CodeDeployDuration: Up to 4 minutesDescription: AWS CodeDeploy; Duration: Up to 4 minutes; Content Topics: DevOps, Development, Deployment; This quiz has: 5 Questions
- EXAMKnowledge Check: Incident Response and Compliance (SCS-C02)Duration: Up to 30 minutesDescription: Knowledge Check: Incident Response and Compliance (SCS-C02); Duration: Up to 30 minutes; Content Topics: Identity and Access Management, Messaging, Compliance, Cost Management; This exam has: 20 Questions
- EXAMKnowledge Check: Detection (SCS-C02)Duration: Up to 35 minutesDescription: Knowledge Check: Detection (SCS-C02); Duration: Up to 35 minutes; Content Topics: Amazon Web Services; This exam has: 25 Questions