AI & Machine Learning

Author: Danny Jessee; Difficulty: Intermediate; Duration: 20 minutes and 9 seconds; Content Topics: Artificial Intelligence; This course has: 5 Units

Author: Guy Hummel; Difficulty: Beginner; Duration: 10 minutes and 35 seconds; Content Topics: Microsoft Azure; This course has: 3 Units

Author: Guy Hummel; Difficulty: Beginner; Duration: 22 minutes and 46 seconds; Content Topics: Microsoft Azure; This course has: 4 Units

Author: Danny Jessee; Difficulty: Intermediate; Duration: 23 minutes and 42 seconds; Content Topics: Artificial Intelligence; This course has: 6 Units

Author: Lee Mucciarone; Difficulty: Beginner; Duration: 24 minutes and 58 seconds; Content Topics: Business Suites, Artificial Intelligence; This course has: 6 Units

Author: Ben Lambert; Difficulty: Beginner; Duration: 25 minutes and 32 seconds; Content Topics: Data Modeling; This course has: 4 Units

Author: Guy Hummel; Difficulty: Intermediate; Description: This course is designed to help you prepare for the AI-102 Designing and Implementing a Microsoft Azure AI Solution exam.; Duration: Up to 20 hours and 2 minutes; Content Topics: Microsoft Azure; This learning path has: 15 Courses, 1 Resource, 2 Exams, 10 Hands-on labs

Author: Andrea Giussani; Difficulty: Intermediate; Description: This course explores a range of techniques for building machine learning pipelines with Python.; Duration: Up to 9 hours and 38 minutes; Content Topics: Machine Learning; This learning path has: 3 Courses, 2 Lab challenges, 2 Exams, 3 Hands-on labs

Author: Andrew Larkin; Difficulty: Intermediate; Description: Practice using SQL to load and manipulate data with this course!; Duration: Up to 3 hours and 47 minutes; Content Topics: SQL; This learning path has: 2 Courses, 1 Lab challenge, 1 Exam, 1 Hands-on lab

Author: Daniel Mease; Difficulty: Intermediate; Description: This course is designed to help you prepare for the Google Certified Professional Machine Learning Engineer exam.; Duration: Up to 17 hours and 7 minutes; Content Topics: Google Cloud Platform; This learning path has: 13 Courses, 1 Resource, 2 Exams, 3 Hands-on labs

Author: Daniel Mease; Difficulty: Intermediate; Description: This course will introduce you to neural networks, TensorFlow, and Google Cloud Machine Learning Engine. Start Course now.; Duration: Up to 2 hours and 42 minutes; Content Topics: Machine Learning; This learning path has: 3 Courses, 1 Exam

Author: Hallam Webber; Difficulty: Intermediate; Description: This course is designed to help you prepare for Microsoft's DP-100 Designing and Implementing a Data Science Solution on Azure exam.; Duration: Up to 19 hours and 40 minutes; Content Topics: Microsoft Azure; This learning path has: 11 Courses, 1 Lab challenge, 1 Resource, 1 Exam, 5 Hands-on labs

Author: Calculated Systems; Difficulty: Beginner; Description: Learning the basics of how to work with data with data sources, formats, databases, and SQL.; Duration: Up to 12 hours and 2 minutes; Content Topics: SQL; This learning path has: 2 Courses, 1 Exam, 3 Hands-on labs

Author: Jeremy Cook; Difficulty: Intermediate; Description: Learn practical applications of AWS machine learning and Artificial Intelligence services using a blend of learning material and hands-on labs.; Duration: Up to 6 hours and 30 minutes; Content Topics: Machine Learning; This learning path has: 3 Courses, 1 Exam, 2 Hands-on labs

Author: Calculated Systems; Difficulty: Beginner; Description: This course gives you a solid understanding of the pros and cons of spreadsheets vs. databases and when to choose one over the other.; Duration: Up to 3 hours and 22 minutes; Content Topics: Amazon Web Services; This learning path has: 1 Course, 1 Exam, 2 Hands-on labs

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: 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: Luke Orellana; Difficulty: Beginner; Description: In this lab, use Azure's Automated Machine Learning service to quickly develop production-ready models with minimal time and effort.; Duration: Up to 2 hours and 30 minutes; Content Topics: Microsoft Azure; This hands-on lab has: 5 Lab steps

Author: Logan Rakai; Difficulty: Beginner; Description: This lab uses Amazon SageMaker to create a machine learning model that forecasts flight delays for US domestic flights.; Duration: Up to 1 hour and 30 minutes; Content Topics: Amazon Web Services; This hands-on lab has: 7 Lab steps

Author: Kunal Haria; Difficulty: Beginner; Duration: 11 minutes and 10 seconds; Content Topics: Development; This course has: 4 Units

Author: Guy Hummel; Difficulty: Beginner; Duration: 13 minutes and 44 seconds; Content Topics: Artificial Intelligence; This course has: 3 Units

Author: Lee Mucciarone; Difficulty: Beginner; Duration: 28 minutes and 43 seconds; Content Topics: Artificial Intelligence; This course has: 6 Units