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169 to 192 of 337 results
Search results 169 - 192 of 337Category: AI & Machine Learning
- LEARNING PATHAI for Hyper-PersonalizationBeginnerDuration: Up to 1 hour and 15 minutesDifficulty: Beginner; Description: Learn best practice for leveraging AI-driven hyper-personalization in a responsible, ethical way.; Duration: Up to 1 hour and 15 minutes; This learning path has: 5 Courses, 2 Exams
- LEARNING PATHAI for Business Growth StrategyIntermediateDuration: Up to 52 minutesDifficulty: Intermediate; Description: A guide to initiating AI projects, measuring effectively, and managing organizational cultural changes to drive business growth.; Duration: Up to 52 minutes; This learning path has: 5 Courses, 2 Exams
- LEARNING PATHAlana Layton
Integrating AWS services with LLMs and other FMsAdvancedDuration: Up to 10 hours and 14 minutesAuthor: Alana Layton; Difficulty: Advanced; Description: Gain an understanding of the AWS services that allow you to integrate with LLMs and FMs, including Amazon Q for Business, Amazon Q Developer and Amazon Bedrock; Duration: Up to 10 hours and 14 minutes; Content Topics: Amazon Web Services; This learning path has: 10 Courses, 5 Hands-on labs - LEARNING PATHDanny Jessee
Amazon Q – Your Generative AI-powered AgentIntermediateDuration: Up to 4 hours and 46 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 4 hours and 46 minutes; Content Topics: Artificial Intelligence; This learning path has: 6 Courses, 2 Hands-on labs - SIMULABLogan Rakai
Large Language Model (LLM) Application Security SimuLabDuration: Up to 2 hoursAuthor: Logan Rakai; Difficulty: Intermediate; Description: This lab provides an interactive environment to explore the security implications of applications using Large Language Models (LLMs) and how to mitigate potential risks.; Duration: Up to 2 hours; Content Topics: Cyber Security; This simulab has: 1 Lab step - HANDS-ON LABAndrew Burchill
Implementing a RAG Pipeline With AWS Step FunctionsBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to implement a RAG pipeline to support a knowledge base using AWS Step Functions 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 - HANDS-ON LABParveen Singh
Building Generative Search Application using Azure AI Search and OpenAIAdvancedDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Advanced; Description: Learn how to work with Azure AI Search and OpenAI to build a generative search application in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps - HANDS-ON LABAndrew Burchill
Monitoring Data Quality Issues with Amazon SageMakerBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create and configure a model monitor schedule in this hands on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps - HANDS-ON LABJun Fritz
Orchestrating 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 Fritz
Invoking 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: Amazon Web Services; This hands-on lab has: 3 Lab steps - COURSEPreparing and supporting the workforce through AI changeIntermediateDuration: 17 minutes and 4 secondsDifficulty: Intermediate; Duration: 17 minutes and 4 seconds; Content Topics: Artificial Intelligence; This course has: 8 Units
- COURSEHow does AI impact operating models?IntermediateDuration: 18 minutes and 34 secondsDifficulty: Intermediate; Duration: 18 minutes and 34 seconds; Content Topics: Artificial Intelligence; This course has: 6 Units
- COURSEPrioritizing AI projectsIntermediateDuration: 17 minutes and 37 secondsDifficulty: Intermediate; Duration: 17 minutes and 37 seconds; This course has: 5 Units
- COURSEEvaluating AI opportunitiesIntermediateDuration: 15 minutes and 17 secondsDifficulty: Intermediate; Duration: 15 minutes and 17 seconds; This course has: 5 Units
- COURSETraining and fine-tuning language modelsIntermediateDuration: 34 minutes and 19 secondsDifficulty: Intermediate; Duration: 34 minutes and 19 seconds; This course has: 13 Units
- COURSEAutomating Documentation With AIIntermediateDuration: 33 minutes and 11 secondsDifficulty: Intermediate; Duration: 33 minutes and 11 seconds; This course has: 10 Units
- COURSELee Mucciarone
Improving Customer Support with Microsoft CopilotBeginnerDuration: 26 minutes and 17 secondsAuthor: Lee Mucciarone; Difficulty: Beginner; Duration: 26 minutes and 17 seconds; Content Topics: Artificial Intelligence; This course has: 6 Units - COURSEHallam Webber
Deploying Models in Azure Machine LearningIntermediateDuration: 24 minutes and 33 secondsAuthor: Hallam Webber; Difficulty: Intermediate; Duration: 24 minutes and 33 seconds; Content Topics: Microsoft Azure; This course has: 5 Units - COURSEFarish Kashefinejad
Creating a Generative AI Coding Assistant for VsCode Using OllamaBeginnerDuration: 6 minutes and 15 secondsAuthor: Farish Kashefinejad; Difficulty: Beginner; Duration: 6 minutes and 15 seconds; This course has: 1 Unit - COURSEAlana Layton
Interacting with Amazon Bedrock Foundation Models using APIsIntermediateDuration: 28 minutes and 8 secondsAuthor: Alana Layton; Difficulty: Intermediate; Duration: 28 minutes and 8 seconds; Content Topics: Artificial Intelligence; This course has: 6 Units - COURSEBen Lambert
Building with the OpenAI Assistants APIIntermediateDuration: 50 minutes and 35 secondsAuthor: Ben Lambert; Difficulty: Intermediate; Duration: 50 minutes and 35 seconds; This course has: 8 Units - COURSEJamie Maguire
Creating a Bot Using Microsoft Bot Framework ComposerIntermediateDuration: 59 minutes and 3 secondsAuthor: Jamie Maguire; Difficulty: Intermediate; Duration: 59 minutes and 3 seconds; Content Topics: Artificial Intelligence; This course has: 6 Units - HANDS-ON LABCalculated Systems
Creating Your First Dialogflow BotBeginnerDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Beginner; Description: Learn how to create a simulated banking concierge bot using Google DIalogflow in this lab.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 9 Lab steps - HANDS-ON LABJun Fritz
Embedding 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: Amazon Web Services; This hands-on lab has: 5 Lab steps