AI & Machine Learning
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217 to 240 of 351 results
Search results 217 - 240 of 351Category: AI & Machine Learning
- HANDS-ON LABCalculated Systems
Creating an FAQ Service with DialogflowIntermediateDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Intermediate; Description: In this lab, you will integrate an online FAQ to provide a high-quality information service to your end-users.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 6 Lab steps - HANDS-ON LABParveen Singh
Interacting with Azure AI Speech Service with Azure AI StudioIntermediateDuration: Up to 1 hourAuthor: Parveen Singh; Difficulty: Intermediate; Description: Learn how to use Azure AI Speech Service to convert speech to text and text to speech using Azure AI Studio.; Duration: Up to 1 hour; Content Topics: Artificial Intelligence; This hands-on lab has: 3 Lab steps - HANDS-ON LABJun Fritz
Building 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: Amazon Web Services; This hands-on lab has: 6 Lab steps - HANDS-ON LABAndrew Burchill
Using 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 Fritz
Leveraging 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 - COURSEJorge Negrón
Forecasting Business Outcomes with Amazon ForecastBeginnerDuration: 24 minutes and 54 secondsAuthor: Jorge Negrón; Difficulty: Beginner; Duration: 24 minutes and 54 seconds; Content Topics: Amazon Web Services; This course has: 7 Units - LEARNING PATHBuilding an AI AgentIntermediateDuration: Up to 12 hours and 30 minutesDifficulty: Intermediate; Description: In this lab course, you will use python to learn to design and develop intelligent single and multi-agent systems.; Duration: Up to 12 hours and 30 minutes; Content Topics: Artificial Intelligence; This learning path has: 8 Hands-on labs
- HANDS-ON LABAndrew Burchill
Accelerating SageMaker Training With HyperParameter TuningBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to use Automatic Model HyperParameter Tuning to accelerate machine learning model development in this hands-on lab.; 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
Enhancing Productivity With Amazon Q BusinessBeginnerDuration: Up to 1 hour and 30 minutesAuthor: Andrew Burchill; Difficulty: Beginner; Description: Learn how to setup and configure an Amazon Q Business application to boost your business productivity.; 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
Getting 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: Amazon Web Services; This hands-on lab has: 2 Lab steps - COURSEStuart Scott
Using 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: Amazon Web Services; This course has: 4 Units - LEARNING PATHCalculated Systems
Building Chatbots with Google DialogflowIntermediateDuration: Up to 6 hours and 2 minutesAuthor: Calculated Systems; Difficulty: Intermediate; Description: This course provides an intro to the Dialogflow service and will get you up and running with building your own chatbots.; Duration: Up to 6 hours and 2 minutes; Content Topics: Artificial Intelligence; This learning path has: 2 Courses, 1 Exam, 4 Hands-on labs - LEARNING PATHFarish Kashefinejad
AI Agent DesignIntermediateDuration: Up to 3 hours and 4 minutesAuthor: Farish Kashefinejad; Difficulty: Intermediate; Description: This course introduces the foundations of AI agent design by starting with the structure of a single agent.; Duration: Up to 3 hours and 4 minutes; Content Topics: Artificial Intelligence; This learning path has: 7 Courses, 4 Exams - 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 - 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
- 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
- COURSEAI in Software ArchitectureIntermediateDuration: 49 minutesDifficulty: Intermediate; Duration: 49 minutes; This course has: 14 Units
- COURSEFundamentals of Prompting in Microsoft 365 CopilotIntermediateDuration: 26 minutes and 23 secondsDifficulty: Intermediate; Duration: 26 minutes and 23 seconds; This course has: 4 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