AI & Machine Learning
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241 to 264 of 347 results
Search results 241 - 264 of 347Category: AI & Machine Learning
- COURSETypes of AI agent protocolsBeginnerDuration: 19 minutes and 22 secondsDifficulty: Beginner; Duration: 19 minutes and 22 seconds; This course has: 8 Units
- COURSEApp Creation DemonstrationIntermediateDuration: 31 minutes and 41 secondsDifficulty: Intermediate; Duration: 31 minutes and 41 seconds; This course has: 9 Units
- COURSETest Case Generation with AI AssistanceIntermediateDuration: 49 minutes and 5 secondsDifficulty: Intermediate; Duration: 49 minutes and 5 seconds; This course has: 14 Units
- COURSEAI Powered Code ReviewsIntermediateDuration: 29 minutes and 46 secondsDifficulty: Intermediate; Duration: 29 minutes and 46 seconds; This course has: 8 Units
- COURSEFarish Kashefinejad
Agent Design: Guardrails, Trust, and PrivacyIntermediateDuration: 31 minutes and 25 secondsAuthor: Farish Kashefinejad; Difficulty: Intermediate; Duration: 31 minutes and 25 seconds; Content Topics: Artificial Intelligence; This course has: 4 Units - COURSEFarish Kashefinejad
Agent Design: Multiple Agents with Task DecompositionIntermediateDuration: 13 minutes and 48 secondsAuthor: Farish Kashefinejad; Difficulty: Intermediate; Duration: 13 minutes and 48 seconds; Content Topics: Artificial Intelligence; This course has: 3 Units - COURSEBen Lambert
Introduction to the OpenAI PlaygroundBeginnerDuration: 17 minutes and 33 secondsAuthor: Ben Lambert; Difficulty: Beginner; Duration: 17 minutes and 33 seconds; This course has: 4 Units - 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 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 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 LABJun Fritz
Building a Generative AI Workflow With Amazon Bedrock FlowsBeginnerDuration: Up to 45 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Learn how to create and customize a generative AI workflow using Amazon Bedrock Flows in this hands-on lab.; Duration: Up to 45 minutes; Content Topics: Artificial Intelligence; 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
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