Artificial Intelligence
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Search results 97 - 120 of 225Category: Artificial Intelligence
- LEARNING PATHAI for Consumer Targeting Best PracticeIntermediateDuration: Up to 50 minutesDifficulty: Intermediate; Description: A comprehensive guide to leveraging AI for segmentation and personalization strategies, enhancing consumer targeting at scale.; Duration: Up to 50 minutes; This learning path has: 5 Courses, 2 Exams
- HANDS-ON LABJun Fritz
Implementing Safeguards for AI Applications With Amazon Bedrock GuardrailsBeginnerDuration: Up to 30 minutesAuthor: Jun Fritz; Difficulty: Beginner; Description: Configure an Amazon Bedrock Guardrail to ensure safe, responsible interactions with your AI applications in this hands-on lab.; Duration: Up to 30 minutes; This hands-on lab has: 2 Lab steps - HANDS-ON LABLogan Rakai
Introduction to the OpenAI Chat Completions APIBeginnerDuration: Up to 30 minutesAuthor: Logan Rakai; Difficulty: Beginner; Description: Learn how to use the OpenAI Chat completions API to generate text in this lab.; Duration: Up to 30 minutes; This hands-on lab has: 1 Lab step - COURSEFarish Kashefinejad
Workflow Essentials of AIBeginnerDuration: 10 minutes and 28 secondsAuthor: Farish Kashefinejad; Difficulty: Beginner; Duration: 10 minutes and 28 seconds; Content Topics: Artificial Intelligence; This course has: 3 Units - COURSEAlana Layton
Amazon Q for Builders and DevelopersIntermediateDuration: 34 minutes and 30 secondsAuthor: Alana Layton; Difficulty: Intermediate; Duration: 34 minutes and 30 seconds; Content Topics: Artificial Intelligence; This course has: 8 Units - COURSEBen Lambert
Developing With GitHub CopilotIntermediateDuration: 35 minutes and 15 secondsAuthor: Ben Lambert; Difficulty: Intermediate; Duration: 35 minutes and 15 seconds; Content Topics: DevOps; This course has: 5 Units - COURSEStuart Scott
Using Amazon Comprehend to Gain Valuable Insights from TextIntermediateDuration: 19 minutes and 57 secondsAuthor: Stuart Scott; Difficulty: Intermediate; Duration: 19 minutes and 57 seconds; Content Topics: Amazon Web Services; This course has: 5 Units - COURSEAndrew Larkin
What is a Data Engineer, What Skills Do You Need, and is the Data Engineer Role Right For You?BeginnerDuration: 16 minutes and 18 secondsAuthor: Andrew Larkin; Difficulty: Beginner; Duration: 16 minutes and 18 seconds; This course has: 7 Units - COURSEEd Wright
TypeScript - GenericsIntermediateDuration: 11 minutes and 5 secondsAuthor: Ed Wright; Difficulty: Intermediate; Duration: 11 minutes and 5 seconds; Content Topics: Development; This course has: 4 Units - LEARNING PATHCalculated Systems
Getting Started with Machine Learning ModelsIntermediateDuration: Up to 7 hours and 42 minutesAuthor: Calculated Systems; Difficulty: Intermediate; Description: Learn the basics of machine learning models and how to use models to extract results.; Duration: Up to 7 hours and 42 minutes; Content Topics: Amazon Web Services; This learning path has: 2 Courses, 1 Exam, 5 Hands-on labs - HANDS-ON LABLogan Rakai
Applied OpenAI Prompt EngineeringIntermediateDuration: Up to 30 minutesAuthor: Logan Rakai; Difficulty: Intermediate; Description: Apply prompt engineering to develop a content categorization system in this lab.; Duration: Up to 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 1 Lab step - HANDS-ON LABAndrew Burchill
Combining and Enriching Data with Amazon Managed Workflows for Apache AirflowIntermediateDuration: Up to 2 hoursAuthor: Andrew Burchill; Difficulty: Intermediate; Description: Learn about Amazon Managed Workflows for Apache Airflow in this hands-on lab as you create a Directed Acyclic Graph in Apache Airflow.; Duration: Up to 2 hours; Content Topics: Amazon Web Services; This hands-on lab has: 5 Lab steps - HANDS-ON LABAndrea Giussani
PySpark - How to build a Machine Learning PipelineBeginnerDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Beginner; Description: In this hands-on lab, you will master your knowledge of PySpark, a very popular Python library for big data analysis and modeling.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 2 Lab steps - HANDS-ON LABAndrea Giussani
PySpark - PreprocessingBeginnerDuration: Up to 1 hourAuthor: Andrea Giussani; Difficulty: Beginner; Description: In this lab, you will learn how to create a dataset using the PySpark library, and to manipulate it using standard filtering and slicing techniques.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps - COURSEFarish Kashefinejad
ChatGPT Prompts, Completions, & TokensBeginnerDuration: 4 minutes and 58 secondsAuthor: Farish Kashefinejad; Difficulty: Beginner; Duration: 4 minutes and 58 seconds; Content Topics: Artificial Intelligence; This course has: 1 Unit - COURSEChris Gambino & Joe Niemiec
Building a Solution Using Artificial Intelligence and IOTBeginnerDuration: 1 hour and 1 minuteAuthor: Chris Gambino & Joe Niemiec; Difficulty: Beginner; Duration: 1 hour and 1 minute; Content Topics: Machine Learning; This course has: 4 Units - COURSECalculated Systems
Building Chatbots with Google Dialogflow: Part 1IntermediateDuration: 37 minutes and 44 secondsAuthor: Calculated Systems; Difficulty: Intermediate; Duration: 37 minutes and 44 seconds; Content Topics: Artificial Intelligence; This course has: 6 Units - LEARNING PATHThomas Mitchell
Using Generative AI in Azure and Microsoft Power PlatformBeginnerDuration: Up to 1 hour and 22 minutesAuthor: Thomas Mitchell; Difficulty: Beginner; Description: This course is designed to teach you the basics of Generative AI in Azure and Microsoft Power Platform.; Duration: Up to 1 hour and 22 minutes; Content Topics: Development, Artificial Intelligence; This learning path has: 4 Courses - HANDS-ON LABCalculated Systems
Evaluating Model Predictions for Regression ModelsIntermediateDuration: Up to 43 minutesAuthor: Calculated Systems; Difficulty: Intermediate; Description: This lab walks you through building several multivariate linear regression models using different prediction variables and evaluating the models' predictions.; Duration: Up to 43 minutes; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps - HANDS-ON LABCalculated Systems
Evaluating Binary Classification ModelsIntermediateDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Intermediate; Description: This lab will walk you through building several binary classification models using different model methodologies and then comparing the model predictions using evaluation tools.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 4 Lab steps - HANDS-ON LABCalculated Systems
Testing Your Models in the Real WorldBeginnerDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Beginner; Description: How do you know that your models will do a good job making predictions on new, unseen data? This lab will discuss the fundamentals.; Duration: Up to 1 hour; This hands-on lab has: 4 Lab steps - HANDS-ON LABCalculated Systems
Performing K-Means Clustering With PythonIntermediateDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Intermediate; Description: In this lab, you'll learn how to perform K-Means Clustering on a set of data and plot the outcome.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps - HANDS-ON LABCalculated Systems
Getting Started with Natural Language ProcessingBeginnerDuration: Up to 1 hourAuthor: Calculated Systems; Difficulty: Beginner; Description: This lab is aimed at machine learning beginners who want to gain a familiarity with Natural Language Processing (NLP) concepts.; Duration: Up to 1 hour; Content Topics: Amazon Web Services; This hands-on lab has: 3 Lab steps - HANDS-ON LABStefano Cascavilla
Analyze and Retrieve Information from Text Using Google Cloud Natural LanguageIntermediateDuration: Up to 45 minutesAuthor: Stefano Cascavilla; Difficulty: Intermediate; Duration: Up to 45 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 5 Lab steps