Difficulty: 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

Author: 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

Author: 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

Author: Farish Kashefinejad; Difficulty: Beginner; Duration: 10 minutes and 28 seconds; Content Topics: Artificial Intelligence; This course has: 3 Units

Author: Alana Layton; Difficulty: Intermediate; Duration: 34 minutes and 30 seconds; Content Topics: Artificial Intelligence; This course has: 8 Units

Author: Ben Lambert; Difficulty: Intermediate; Duration: 35 minutes and 15 seconds; Content Topics: DevOps; This course has: 5 Units

Author: Stuart Scott; Difficulty: Intermediate; Duration: 19 minutes and 57 seconds; Content Topics: Amazon Web Services; This course has: 5 Units

Author: Andrew Larkin; Difficulty: Beginner; Duration: 16 minutes and 18 seconds; This course has: 7 Units

Author: Ed Wright; Difficulty: Intermediate; Duration: 11 minutes and 5 seconds; Content Topics: Development; This course has: 4 Units

Author: 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

Author: 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

Author: 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

Author: 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

Author: 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

Author: Farish Kashefinejad; Difficulty: Beginner; Duration: 4 minutes and 58 seconds; Content Topics: Artificial Intelligence; This course has: 1 Unit

Author: Chris Gambino & Joe Niemiec; Difficulty: Beginner; Duration: 1 hour and 1 minute; Content Topics: Machine Learning; This course has: 4 Units

Author: Calculated Systems; Difficulty: Intermediate; Duration: 37 minutes and 44 seconds; Content Topics: Artificial Intelligence; This course has: 6 Units

Author: 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

Author: 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

Author: 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

Author: 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

Author: 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

Author: 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

Author: Stefano Cascavilla; Difficulty: Intermediate; Duration: Up to 45 minutes; Content Topics: Google Cloud Platform; This hands-on lab has: 5 Lab steps