AI & Machine Learning

Difficulty: Beginner; Description: In this course, we delve into the latest advancements and trends in AI technology and the potential gains for businesses that adopt them.; Duration: Up to 16 minutes; This learning path has: 1 Course

Author: Lee Mucciarone; Difficulty: Beginner; Description: This course is designed to teach you the basics of using Copilot in Microsoft 365.; Duration: Up to 1 hour and 17 minutes; Content Topics: Business Suites, Artificial Intelligence; This learning path has: 6 Courses

Author: Jeremy Cook; Difficulty: Beginner; Description: Learn the tools and practices of Machine Learning on Amazon Web Services with a blend of instructional courses, quizzes, and hands-on labs.; Duration: Up to 6 hours and 15 minutes; Content Topics: Machine Learning; This learning path has: 5 Courses, 2 Hands-on labs

Author: Andrew Burchill; Difficulty: Beginner; Description: Regular expressions are a powerful tool for searching and manipulating text. In this hands-on lab you will learn how to use them effectively in real-world scenarios.; Duration: Up to 1 hour; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will work with regular expressions, learning how to use quantifiers, anchors, and capture groups to match patterns in text.; Duration: Up to 30 minutes; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: Andrea Giussani; Difficulty: Intermediate; Description: A deep dive into the visualization tools and libraries available in Python.; Duration: Up to 6 hours and 28 minutes; Content Topics: Analytics, Development; This learning path has: 3 Courses, 1 Exam, 2 Hands-on labs

Author: Danny Jessee; Difficulty: Intermediate; Description: Train to prepare for the AWS Certified Machine Learning Engineer - Associate (MLA-C01) exam; Duration: Up to 80 hours and 11 minutes; Content Topics: Amazon Web Services; This learning path has: 71 Courses, 11 Exams, 16 Hands-on labs

Author: Guy Hummel; Difficulty: Intermediate; Description: This course will introduce you to the primary machine learning tools on Azure.; Duration: Up to 5 hours and 1 minute; Content Topics: Microsoft Azure; This learning path has: 1 Course, 2 Hands-on labs

Author: Andrew Burchill; Difficulty: Beginner; Description: In this hands-on lab, you will learn about the character classes and quantifiers elements of Regular Expressions, and use them to match patterns in text.; Duration: Up to 30 minutes; Content Topics: Development; This hands-on lab has: 2 Lab steps

Author: QA; Difficulty: Intermediate; Description: Practical Machine Learning; Duration: Up to 19 hours and 1 minute; Content Topics: Amazon Web Services, Microsoft Azure; This learning path has: 11 Courses, 6 Exams, 2 Hands-on labs

Difficulty: Beginner; Description: An overview of how and why search algorithms prioritize organic product listings, and how to encourage effective data sharing with retail partners.; Duration: Up to 46 minutes; This learning path has: 4 Courses, 2 Exams

Author: Andrew Burchill; Difficulty: Beginner; Description: Learn how to effectively make use of a Large Language Model when developing applications using Amazon Bedrock in this hands-on lab.; Duration: Up to 1 hour and 30 minutes; Content Topics: Development, Artificial Intelligence; This hands-on lab has: 5 Lab steps

Author: Francesco Mosconi; Difficulty: Advanced; Description: This Course is the third and final of three Courses in the Zero to Deep Learning Bootcamp Cloud Academy has developed in collaboration with Deep L; Duration: Up to 3 hours and 36 minutes; Content Topics: Machine Learning; This learning path has: 3 Courses, 1 Exam

Author: Andrew Burchill; Difficulty: Beginner; Description: This course is made up entirely of hands-on labs to help you master regular expressions in Python!; Duration: Up to 2 hours and 50 minutes; Content Topics: Development; This learning path has: 1 Lab challenge, 3 Hands-on labs

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: 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: Andrea Giussani; Difficulty: Beginner; Description: The aim of this lab is to challenge you on building a supervised machine learning pipeline to predict the median values of owner-occupied housing in USD 1000 in the Boston dataset.; Duration: Up to 1 hour; Content Topics: Machine Learning; This hands-on lab has: 2 Lab steps

Difficulty: Intermediate; Description: This course explores tools and techniques for leveraging AI for behavioral analysis, while addressing ethical concerns and implementation challenges.; Duration: Up to 56 minutes; This learning path has: 5 Courses, 2 Exams

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: Andrea Giussani; Difficulty: Beginner; Description: The goal of this lab is to consolidate your data management and manipulation skills using Python.; Duration: Up to 1 hour; Content Topics: Development, Analytics; This hands-on lab has: 2 Lab steps