AI & Machine Learning
Explore all library
73 to 91 of 91 results
Search results 73 - 91 of 91- LEARNING PATHIdentifying AI Value and Prioritizing Use CasesIntermediateDuration: Up to 45 minutesDifficulty: Intermediate; Description: Learn how to assess which AI use cases will deliver measurable value to your business and how to prioritize them.; Duration: Up to 45 minutes; This learning path has: 4 Courses, 1 Exam
- HANDS-ON LABQA
AI in Software ArchitectureIntermediateDuration: Up to 40 minutesAuthor: QA; Difficulty: Intermediate; Description: This lab demonstrates how to use GitHub Copilot to automate software architecture decisions.; Duration: Up to 40 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
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 LABQA
GitHub Copilot App Creation DemoIntermediateDuration: Up to 2 hoursAuthor: QA; Difficulty: Intermediate; Description: This lab demonstrates how to create apps with GitHub Copilot.; Duration: Up to 2 hours; Content Topics: Artificial Intelligence; This hands-on lab has: 8 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
Implementing Conversational Memory Using LangChain and Amazon DynamoDBIntermediateDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Intermediate; Description: Leverage the LangChain framework to store and manage conversation history in Amazon DynamoDB in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 2 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 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
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 PATHIntroduction to ContinueBeginnerDuration: Up to 45 minutesDifficulty: Beginner; Description: Welcome to Introduction to Continue.; Duration: Up to 45 minutes; This learning path has: 4 Courses, 1 Exam
- LEARNING PATHIntroduction to Modern AI Agent ProtocolsIntermediateDuration: Up to 43 minutesDifficulty: Intermediate; Description: Discover the key protocols that enable AI agents to communicate, collaborate, and operate safely across platforms and industries.; Duration: Up to 43 minutes; This learning path has: 3 Courses, 1 Exam
- HANDS-ON LABParveen Singh
Deploying a Containerized Text Analytics Solution with Azure AIBeginnerDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Beginner; Description: Learn how to deploy a containerized text analytics solution with Azure AI in this hands-on lab.; Duration: Up to 1 hour; Content Topics: Microsoft Azure; This hands-on lab has: 3 Lab steps - 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 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 - LEARNING PATHIntroduction to CodexBeginnerDuration: Up to 51 minutesDifficulty: Beginner; Description: Discover how to use Codex, the OpenAI coding assistant, to write, refactor, and review code efficiently and securely using clear, effective prompts.; Duration: Up to 51 minutes; This learning path has: 4 Courses, 1 Exam
- LEARNING PATHStrategic Planning for AIIntermediateDuration: Up to 50 minutesDifficulty: Intermediate; Description: Discover how to build AI-ready organizations: assess data, tech, and strategy to drive responsible, scalable, and effective AI adoption.; Duration: Up to 50 minutes; This learning path has: 6 Courses, 1 Exam