Author: Stephen Cole; Difficulty: Advanced; Description: Become an AWS certified Machine Learning Specialist, choose your training, learn more about your study guide, start your course on Cloud Academy!; Duration: Up to 65 hours and 27 minutes; Content Topics: Identity and Access Management, Machine Learning; This course has: 40 Lessons, 14 Exams, 15 Hands-on labs

Author: Guy Hummel; Difficulty: Beginner; Description: This course is designed to help you prepare for the AI-900 Microsoft Azure AI Fundamentals exam.; Duration: Up to 5 hours and 46 minutes; This course has: 8 Lessons, 1 Resource, 1 Exam, 2 Hands-on labs

Author: Calculated Systems; Difficulty: Beginner; Description: This course is a gentle introduction and for those who want to gain entry-level experience in machine learning and artificial intelligence.; Duration: Up to 4 hours and 45 minutes; Content Topics: NoSQL, Machine Learning; This course has: 2 Lessons, 2 Exams, 1 Hands-on lab

Author: Andrew Larkin; Difficulty: Beginner; Description: Go from Newbie to Ninja in the structured query language (SQL)!; Duration: Up to 14 hours and 47 minutes; Content Topics: SQL; This course has: 4 Lessons, 1 Lab challenge, 3 Exams, 3 Hands-on labs

Author: Francesco Mosconi; Difficulty: Beginner; Description: Get started with Data Science and Deep Learning; Duration: Up to 4 hours and 16 minutes; Content Topics: Machine Learning; This course has: 3 Lessons, 1 Exam

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 course has: 3 Lessons, 1 Exam, 2 Hands-on labs

Author: Calculated Systems; Difficulty: Intermediate; Description: Dive into the various tools and techniques available for manipulating information and data sources.; Duration: Up to 7 hours and 17 minutes; Content Topics: SQL; This course has: 2 Lessons, 1 Exam, 6 Hands-on labs

Author: Calculated Systems; Difficulty: Beginner; Description: This course explores data sources and formatting, and how to present data in a way that provides meaningful information.; Duration: Up to 2 hours and 17 minutes; Content Topics: Machine Learning; This course has: 2 Lessons, 1 Exam, 1 Hands-on lab

Author: Stuart Scott; Difficulty: Beginner; Description: In this lesson you will be introduced to the fundamental generative AI services on AWS; Duration: Up to 2 hours and 24 minutes; Content Topics: Development, Artificial Intelligence; This course has: 5 Lessons

Author: Kunal Haria; Difficulty: Intermediate; Description: Fundamentals of R; Duration: Up to 14 hours and 19 minutes; Content Topics: Machine Learning; This course has: 11 Lessons, 1 Resource, 3 Exams, 1 Hands-on lab

Author: Guy Hummel; Type: updated course; 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 18 hours and 22 minutes; Content Topics: Web, Machine Learning; This course has: 15 Lessons, 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 course has: 3 Lessons, 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 5 hours and 13 minutes; Content Topics: SQL; This course has: 3 Lessons, 1 Lab challenge, 3 Exams, 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: NoSQL, Big Data, Machine Learning; This course has: 13 Lessons, 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 course has: 3 Lessons, 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 20 minutes; Content Topics: Machine Learning; This course has: 11 Lessons, 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 course has: 2 Lessons, 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 course has: 3 Lessons, 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 course has: 1 Lesson, 1 Exam, 2 Hands-on labs

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 course has: 5 Lessons, 2 Hands-on labs

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

Difficulty: Beginner; Description: This course examines generative AI, including how it learns, how it can be used in marketing, and where it is going in the future.; Duration: Up to 48 minutes; This course has: 4 Lessons, 2 Exams

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: Big Data, Machine Learning; This course has: 1 Lesson, 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