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2 to 24 of 70 results
Search results 2 - 24 of 70Category: Generative AI
- COURSEBen LambertDeveloping With GitHub CopilotIntermediateDuration: 35 minutes and 15 secondsAuthor: Ben Lambert; Difficulty: Intermediate; Duration: 35 minutes and 15 seconds; Content Topics: DevOps; This course has: 5 Lectures
- COURSEBen LambertMaximizing The Value of GitHub CopilotIntermediateDuration: 26 minutes and 57 secondsAuthor: Ben Lambert; Difficulty: Intermediate; Duration: 26 minutes and 57 seconds; This course has: 5 Lectures
- COURSEHallam WebberIntroduction to AI Copilot in Microsoft Power AppsBeginnerDuration: 19 minutes and 53 secondsAuthor: Hallam Webber; Difficulty: Beginner; Duration: 19 minutes and 53 seconds; Content Topics: Development, Artificial Intelligence; This course has: 6 Lectures
- COURSEDaniel MeaseIntroduction to Google Generative AI StudioBeginnerDuration: 20 minutes and 1 secondAuthor: Daniel Mease; Difficulty: Beginner; Duration: 20 minutes and 1 second; Content Topics: Artificial Intelligence; This course has: 7 Lectures
- COURSEBen LambertIntroduction to Prompt EngineeringBeginnerDuration: 1 hour and 14 minutesAuthor: Ben Lambert; Difficulty: Beginner; Duration: 1 hour and 14 minutes; Content Topics: Machine Learning; This course has: 13 Lectures
- COURSEBen LambertIntroduction To GitHub CopilotIntermediateDuration: 8 minutes and 26 secondsAuthor: Ben Lambert; Difficulty: Intermediate; Duration: 8 minutes and 26 seconds; Content Topics: Artificial Intelligence; This course has: 1 Lecture
- LEARNING PATHStuart ScottBuilding Generative AI applications with Amazon BedrockIntermediateDuration: Up to 10 hours and 28 minutesAuthor: Stuart Scott; Difficulty: Intermediate; Description: If you need to build Gen AI apps, Amazon Bedrock has you covered. Learn how to build scalable and secure applications using different foundation models in AWS; Duration: Up to 10 hours and 28 minutes; Content Topics: Development, Artificial Intelligence; This learning path has: 4 Courses, 7 Hands-on labs
- LEARNING PATHStuart ScottMastering Generative AI on AWS: From Infrastructure to ApplicationsAdvancedDuration: Up to 14 hours and 34 minutesAuthor: Stuart Scott; Difficulty: Advanced; Description: Uncover the components and features from the underlying infrastructure to the services that leverage the creation of building generative AI apps on AWS; Duration: Up to 14 hours and 34 minutes; Content Topics: Amazon Web Services; This learning path has: 15 Courses, 8 Hands-on labs
- 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
- COURSELee MucciaroneWorking with Microsoft 365 Copilot in ExcelBeginnerDuration: 13 minutes and 4 secondsAuthor: Lee Mucciarone; Difficulty: Beginner; Duration: 13 minutes and 4 seconds; Content Topics: Business Suites; This course has: 1 Lecture
- 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
- 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
- COURSEStuart ScottAmazon Bedrock Orchestration using Knowledge Bases and AgentsIntermediateDuration: 33 minutes and 41 secondsAuthor: Stuart Scott; Difficulty: Intermediate; Duration: 33 minutes and 41 seconds; Content Topics: Artificial Intelligence; This course has: 7 Lectures
- LEARNING PATHDanny JesseeAmazon Q – Your Generative AI-powered AgentIntermediateDuration: Up to 5 hours and 29 minutesAuthor: Danny Jessee; Difficulty: Intermediate; Description: Discover the benefits of leveraging Amazon Q in your enterprise, and understand how this gen ai-powered agent can streamline tasks, solve problems, and more; Duration: Up to 5 hours and 29 minutes; Content Topics: Artificial Intelligence; This learning path has: 6 Courses, 3 Hands-on labs
- LEARNING PATHQA LearningAI for Content Best PracticeIntermediateDuration: Up to 50 minutesAuthor: QA Learning; Difficulty: Intermediate; Description: A guide to using AI as part of your content strategy, covering the significant benefits and key considerations around the technology.; Duration: Up to 50 minutes; This learning path has: 4 Courses, 2 Exams
- HANDS-ON LABJun FritzEmbedding Documents With LangChain and Amazon BedrockIntermediateDuration: Up to 1 hourAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to use AWS SAM, Amazon Bedrock, and LangChain to deploy an automated document embedding application in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Serverless; This hands-on lab has: 5 Lab steps
- HANDS-ON LABJun FritzEnhancing Generative AI Models With Retrieval-Augmented Generation (RAG)BeginnerDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn the fundamentals of Retrieval-Augmented Generation (RAG) and how to enhance the accuracy of generative AI models 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 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 LABJun FritzOrchestrating 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 FritzInvoking 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: Serverless; This hands-on lab has: 3 Lab steps
- COURSEDanny JesseeAmazon Bedrock Security and PrivacyIntermediateDuration: 20 minutes and 9 secondsAuthor: Danny Jessee; Difficulty: Intermediate; Duration: 20 minutes and 9 seconds; Content Topics: Artificial Intelligence; This course has: 5 Lectures
- COURSEAlana LaytonAmazon Q for Builders and DevelopersIntermediateDuration: 34 minutes and 30 secondsAuthor: Alana Layton; Difficulty: Intermediate; Duration: 34 minutes and 30 seconds; Content Topics: Artificial Intelligence; This course has: 8 Lectures