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49 to 72 of 80 results
Search results 49 - 72 of 80Category: Generative AI
- HANDS-ON LABLogan RakaiApplied OpenAI Prompt EngineeringIntermediateDuration: Up to 30 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Description: Apply prompt engineering to develop a content categorization system in this lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 1 Lab step
- HANDS-ON LABJun FritzGetting Started With Amazon Q Developer and AWS Cloud9BeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to configure and use Amazon Q Developer in an AWS Cloud9 environment in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Development Tools; This hands-on lab has: 3 Lab steps
- COURSEFarish KashefinejadGenerative AI - Concerns and EthicsBeginnerDuration: 11 minutes and 47 secondsAuthor: Farish Kashefinejad; Difficulty: Beginner; Duration: 11 minutes and 47 seconds; Content Topics: Artificial Intelligence; This course has: 1 Lecture
- COURSEAlana LaytonAmazon CodeWhisperer: Generating Code with AIBeginnerDuration: 20 minutes and 48 secondsAuthor: Alana Layton; Difficulty: Beginner; Duration: 20 minutes and 48 seconds; Content Topics: Development, Artificial Intelligence; This course has: 5 Lectures
- HANDS-ON LABParveen SinghAnalyzing 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
- COURSEAI TrendsIntermediateDuration: 16 minutes and 14 secondsDifficulty: Intermediate; Duration: 16 minutes and 14 seconds; This course has: 5 Lectures
- HANDS-ON LABAndrew BurchillOptimizing 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 LABAndrew BurchillEmploying Generative AI for Development With Amazon BedrockBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to effectively make use of a Large Language Model when developing applications using Amazon Bedrock in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 5 Lab steps
- LEARNING PATHAlana LaytonLeveraging Amazon Q Developer for AI-Powered Application Building and OptimizationBeginnerDuration: Up to 2 hours and 33 minutesAuthor: Alana Layton; Difficulty: Beginner; Description: Looking to get started with AI code generation? With this content, you'll learn the basics of Amazon Q Developer, including what it is and how to use it.; Duration: Up to 2 hours and 33 minutes; Content Topics: Serverless, Development Tools; This learning path has: 3 Courses, 2 Hands-on labs
- 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 BurchillModerating Content with Amazon BedrockBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Amazon Bedrock to moderate textual content as a part of a content processing system 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 FritzGetting Started With Amazon Q Developer and AWS LambdaBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to enable and utilize Amazon Q Developer to improve your AWS Lambda functions in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Serverless; 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 LABAndrew BurchillEnhancing Productivity With Amazon Q BusinessBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to setup and configure an Amazon Q Business application to boost your business productivity.; Duration: Up to 1 hour and 30 minutes; Content Topics: Identity and Access Management; This hands-on lab has: 4 Lab steps
- COURSEHallam WebberAdding Conversational Language Understanding to ChatbotsIntermediateDuration: 22 minutes and 54 secondsAuthor: Hallam Webber; Difficulty: Intermediate; Duration: 22 minutes and 54 seconds; This course has: 6 Lectures
- COURSEUPDATEDFarish KashefinejadCreating a Generative AI Coding Assistant for VsCode Using OllamaBeginnerDuration: 6 minutes and 15 secondsAuthor: Farish Kashefinejad; Type: updated course; Difficulty: Beginner; Duration: 6 minutes and 15 seconds; This course has: 1 Lecture
- COURSEBen LambertIntroduction to the OpenAI Assistants APIBeginnerDuration: 28 minutes and 48 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 28 minutes and 48 seconds; Content Topics: Artificial Intelligence; This course has: 6 Lectures
- HANDS-ON LABAndrew BurchillUsing Generative AI from Amazon AuroraBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to call an Amazon Bedrock model from an Amazon Aurora MySQL database 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 FritzLeveraging Artificial Intelligence to Analyze Amazon CloudWatch LogsBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to utilize natural language processing and machine learning to analyze Amazon CloudWatch Logs in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps
- COURSEUPDATEDLee MucciaroneImproving Customer Support with Microsoft CopilotBeginnerDuration: 26 minutes and 17 secondsAuthor: Lee Mucciarone; Type: updated course; Difficulty: Beginner; Duration: 26 minutes and 17 seconds; Content Topics: Artificial Intelligence; This course has: 6 Lectures
- COURSEUPDATEDFarish KashefinejadRunning Local Large Language Models Using OllamaBeginnerDuration: 7 minutes and 19 secondsAuthor: Farish Kashefinejad; Type: updated course; Difficulty: Beginner; Duration: 7 minutes and 19 seconds; Content Topics: Machine Learning; This course has: 1 Lecture
- HANDS-ON LABAndrew BurchillDeveloping An Application on AWS using Generative AIBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Generative AI to create a new application on AWS in this hands-on lab; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps
- COURSEBen LambertBuilding with the OpenAI Assistants APIIntermediateDuration: 50 minutes and 35 secondsAuthor: Ben Lambert; Difficulty: Intermediate; Duration: 50 minutes and 35 seconds; This course has: 8 Lectures
- 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