AI & Machine Learning
Explore all library
265 to 288 of 351 results
Search results 265 - 288 of 351Category: AI & Machine Learning
- COURSEDeniz Yilmaz
High-Performance Text Analysis with HuggingFace GPT-2 on AWS Neuron with AWS InferentiaBeginnerDuration: 44 minutes and 45 secondsAuthor: Deniz Yilmaz; Difficulty: Beginner; Duration: 44 minutes and 45 seconds; Content Topics: Amazon Web Services; This course has: 9 Units - COURSEAlibaba Cloud
Applications 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 Units - COURSEAlibaba Cloud
Applications 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 Units - COURSEAlibaba Cloud
Visual 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 Units - LEARNING PATHEvaluating Major LLM ProvidersIntermediateDuration: Up to 45 minutesDifficulty: Intermediate; Description: Discover how to navigate the AI model landscape with confidence. Learn who the major providers are, what they offer, and how to compare them using key criteria.; Duration: Up to 45 minutes; This learning path has: 4 Courses, 1 Exam
- HANDS-ON LABLogan Rakai
Orchestrate Agents with Microsoft Foundry WorkflowsIntermediateDuration: Up to 1 hour and 15 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Description: Learn to create and manage multi-agent workflows using Microsoft Foundry to automate complex tasks.; Duration: Up to 1 hour and 15 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABQA
Test Case Generation with AI AssistanceIntermediateDuration: Up to 40 minutesAuthor: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate the generation of test cases.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABQA
Automating Documentation with AIIntermediateDuration: Up to 40 minutesAuthor: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate the generation of documentation.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABQA
Refactoring for Readability & PerformanceIntermediateDuration: Up to 40 minutesAuthor: QA; Difficulty: Intermediate; Description: This lab demonstrates how to refactor code for improved readability and performance.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABQA
AI-Powered Code ReviewsIntermediateDuration: Up to 40 minutesAuthor: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use AI for code reviews.; Duration: Up to 40 minutes; Content Topics: Artificial Intelligence; This hands-on lab has: 2 Lab steps - HANDS-ON LABAndrew Burchill
Tracking Generative AI Usage With Amazon Bedrock Inference ProfilesBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to create Amazon Bedrock inference profiles and use them to track model usage.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps - HANDS-ON LABAndrew Burchill
Implementing an ETL Pipeline with AWS SDK for PandasBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use the AWS SDK for Pandas to process real-time transaction data 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 Fritz
Developing 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 - HANDS-ON LABJun Fritz
Generating Custom Images and Variations with Amazon BedrockIntermediateDuration: Up to 40 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Generate images and variations using the Amazon Bedrock Image Playground and runtime in this hands-on lab.; Duration: Up to 40 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 3 Lab steps - HANDS-ON LABJun Fritz
Working 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 Fritz
Developing 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 Burchill
Performing 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 Fritz
Formatting 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 - HANDS-ON LABAndrew Burchill
Using Amazon DocumentDB to Store and Search Vector DataBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: Lean how to use Amazon DocumentDB's vector search functionality in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Development, Databases; This hands-on lab has: 4 Lab steps - HANDS-ON LABAndrew Burchill
Planning EC2 Capacity With Amazon ForecastBeginnerDuration: Up to 1 hourAuthor: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will see how to prepare web log data for use with Amazon Forecast's EC2 planning capability.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 4 Lab steps - LEARNING PATHMicrosoft 365 Copilot ChatIntermediateDuration: Up to 40 minutesDifficulty: Intermediate; Description: Learn to use Copilot Chat confidently and responsibly, explore Web and Work modes, and build stronger prompts to research, draft, summarize, and solve problems.; Duration: Up to 40 minutes; This learning path has: 4 Courses
- LEARNING PATHUPDATEDOptimizing Agentic SystemsIntermediateDuration: Up to 4 hours and 23 minutesType: updated learning path; Difficulty: Intermediate; Description: This course guides you through the essentials of optimizing agentic AI systems, including prompt engineering, RAG, and evaluation.; Duration: Up to 4 hours and 23 minutes; This learning path has: 4 Courses, 1 Exam, 2 Hands-on labs
- LEARNING PATHAI and the Future of SearchIntermediateDuration: Up to 1 hour and 9 minutesDifficulty: Intermediate; Description: Discover how AI-powered search is changing marketing. Learn what it is, why it matters, and how to keep your brand visible in an AI-driven world.; Duration: Up to 1 hour and 9 minutes; This learning path has: 3 Courses, 2 Exams
- LEARNING PATHData Governance, Ethics, and Risk Management in AIBeginnerDuration: Up to 55 minutesDifficulty: Beginner; Description: Welcome to this course on Data Governance, Ethics, and Risk Management in AI.; Duration: Up to 55 minutes; This learning path has: 4 Courses, 1 Exam