AI & Machine Learning
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217 to 240 of 331 results
Search results 217 - 240 of 331Category: AI & Machine Learning
- LEARNING PATHAlana Layton
Leveraging Amazon Q Developer for AI-Powered Application Building and OptimizationBeginnerDuration: Up to 1 hour and 48 minutesAuthor: Alana Layton; Difficulty: Beginner; Description: Looking to get started with AI code generation? With this content, you'll learn the basics of Amazon Q Developer, including what it is and how to use it.; Duration: Up to 1 hour and 48 minutes; Content Topics: Amazon Web Services; This learning path has: 3 Courses, 1 Hands-on lab - LAB CHALLENGEAndrea Giussani
Machine Learning Python Challenge: RegressionAdvancedDuration: Up to 1 hour and 30 minutesAuthor: Andrea Giussani; Difficulty: Advanced; Description: In this lab challenge, you will be tested on your scikit-learn skills to build a machine learning pipeline to predict the price of a stock; Duration: Up to 1 hour and 30 minutes; Content Topics: Machine Learning; This lab challenge has: 2 Lab steps - HANDS-ON LABCalculated Systems
Creating a Weather Forecasting Chatbot with DialogflowAdvancedDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Advanced; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 8 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
- COURSEIntroducing language modelsIntermediateDuration: 9 minutesDifficulty: Intermediate; Duration: 9 minutes; Content Topics: Artificial Intelligence; This course has: 4 Units
- COURSEUnderstanding agentic AIIntermediateDuration: 15 minutes and 32 secondsDifficulty: Intermediate; Duration: 15 minutes and 32 seconds; Content Topics: Artificial Intelligence; This course has: 7 Units
- 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
AI Agent Design: Generative Agents in the Real-WorldIntermediateDuration: 40 minutes and 47 secondsAuthor: Farish Kashefinejad; Difficulty: Intermediate; Duration: 40 minutes and 47 seconds; Content Topics: Artificial Intelligence; This course has: 5 Units - COURSEAI in Software ArchitectureIntermediateDuration: 49 minutesDifficulty: Intermediate; Duration: 49 minutes; This course has: 14 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 - COURSEFarish Kashefinejad
Agent Design: From a Single Agent to CoordinationIntermediateDuration: 16 minutes and 8 secondsAuthor: Farish Kashefinejad; Difficulty: Intermediate; Duration: 16 minutes and 8 seconds; Content Topics: Artificial Intelligence; This course has: 3 Units - COURSEFarish Kashefinejad
Agent Design: Starting with a Single AgentIntermediateDuration: 13 minutes and 54 secondsAuthor: Farish Kashefinejad; Difficulty: Intermediate; Duration: 13 minutes and 54 seconds; Content Topics: Artificial Intelligence; This course has: 3 Units - COURSEFarish Kashefinejad
Running Local Large Language Models Using OllamaBeginnerDuration: 7 minutes and 19 secondsAuthor: Farish Kashefinejad; Difficulty: Beginner; Duration: 7 minutes and 19 seconds; Content Topics: Machine Learning; This course has: 1 Unit - 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 - 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
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 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 LABAndrew Burchill
Automating Code Reviews Using Generative AIBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use a Generative AI model to perform code reviews in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Continuous Integration; This hands-on lab has: 4 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 - 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