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Search results 169 - 192 of 256Category: Services
- LAB CHALLENGEThomas HolmesUsing Python to Cleanse and Rationalize Data ChallengeBeginnerDuration: Up to 2 hours and 30 minutesAuthor: Thomas Holmes; Difficulty: Beginner; Description: You will put your basic knowledge of Python to work in this lab challenge in order to perform a simple form of data cleansing on text.; Duration: Up to 2 hours and 30 minutes; Content Topics: Development; This lab challenge has: 2 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 BurchillEvaluating Generative AI Models Using Amazon BedrockBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Amazon Bedrock to run an automated model evaluation in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Storage, Artificial Intelligence; This hands-on lab has: 3 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
- 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
- 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
- COURSEAlibaba CloudApplications of Alibaba Cloud PAI: Sentiment AnalysisIntermediateDuration: 34 minutes and 13 secondsAuthor: Alibaba Cloud; Difficulty: Intermediate; Duration: 34 minutes and 13 seconds; Content Topics: Machine Learning; This course has: 2 Lectures
- HANDS-ON LABJun FritzBuilding a PDF RAG Chatbot Powered by LangChain and Amazon BedrockIntermediateDuration: Up to 1 hour and 30 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Learn how to deploy a PDF Chatbot using retrieval-augmented generation (RAG), LangChain, and AWS services in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Serverless, Containers, Machine Learning; This hands-on lab has: 6 Lab steps
- LEARNING PATHDanny JesseeUPDATEDPREVIEW - AWS Certified Machine Learning Engineer - Associate (MLA-C01) Certification PreparationIntermediateDuration: Up to 74 hours and 44 minutesAuthor: Danny Jessee; Type: updated learning path; Difficulty: Intermediate; Description: NOTE: This course is in PREVIEW and will continue to be updated with new lessons, labs, and a preparation exam in the weeks ahead.; Duration: Up to 74 hours and 44 minutes; Content Topics: Machine Learning; This learning path has: 64 Courses, 10 Exams, 16 Hands-on labs
- COURSEHallam WebberDeploying Models in Azure Machine LearningIntermediateAuthor: Hallam Webber; Difficulty: Intermediate; Content Topics: Machine Learning; This course has: 5 Lectures
- COURSEStuart ScottUsing Amazon SageMaker ML Lineage Tracking within your ML WorkflowIntermediateDuration: 15 minutes and 53 secondsAuthor: Stuart Scott; Difficulty: Intermediate; Duration: 15 minutes and 53 seconds; Content Topics: Machine Learning; This course has: 4 Lectures
- COURSEAlibaba CloudApplications of Alibaba Cloud PAI: Product RecommendationIntermediateDuration: 33 minutes and 55 secondsAuthor: Alibaba Cloud; Difficulty: Intermediate; Duration: 33 minutes and 55 seconds; Content Topics: Machine Learning; This course has: 2 Lectures
- COURSEAlibaba CloudApplications of Alibaba Cloud PAI: Image ClassificationIntermediateDuration: 40 minutes and 41 secondsAuthor: Alibaba Cloud; Difficulty: Intermediate; Duration: 40 minutes and 41 seconds; Content Topics: Machine Learning; This course has: 2 Lectures
- COURSEAlibaba CloudVisual Development with Alibaba Cloud PAI-StudioIntermediateDuration: 35 minutes and 59 secondsAuthor: Alibaba Cloud; Difficulty: Intermediate; Duration: 35 minutes and 59 seconds; Content Topics: Machine Learning; This course has: 2 Lectures
- HANDS-ON LABAndrew BurchillCustomizing Large Language Models Using OllamaBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Ollama to run, manage, and customize Large Language Models in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Management, Artificial Intelligence; This hands-on lab has: 4 Lab steps
- 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
- HANDS-ON LABLogan RakaiUse Vertex AI Vector Search to Recommend Similar ProductsIntermediateDuration: Up to 1 hour and 15 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Description: In this lab, you will use Vertex AI's vector search capabilities to recommend similar products in a retail setting.; Duration: Up to 1 hour and 15 minutes; Content Topics: Machine Learning; This hands-on lab has: 2 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
- LEARNING PATHAI TrendsBeginnerDuration: Up to 16 minutesDifficulty: Beginner; Description: In this course, we delve into the latest advancements and trends in AI technology and the potential gains for businesses that adopt them.; Duration: Up to 16 minutes; This learning path has: 1 Course
- HANDS-ON LABAndrew BurchillMonitoring 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