AI & Machine Learning

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 63 hours and 42 minutes; Content Topics: Amazon Web Services; This learning path has: 40 Courses, 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 10 hours and 8 minutes; This learning path has: 15 Courses, 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 3 hours and 15 minutes; Content Topics: Amazon Web Services; This learning path has: 2 Courses, 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 46 minutes; Content Topics: SQL; This learning path has: 4 Courses, 1 Lab challenge, 3 Exams, 3 Hands-on labs

Author: Francesco Mosconi; Difficulty: Intermediate; Description: This Course gives an informative introduction to deep learning and introducing neural networks.; Duration: Up to 3 hours and 28 minutes; Content Topics: Machine Learning; This learning path has: 2 Courses, 1 Exam

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 learning path has: 3 Courses, 1 Exam

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 learning path has: 2 Courses, 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 learning path has: 2 Courses, 1 Exam, 1 Hands-on lab

Author: Danny Jessee; Difficulty: Beginner; Description: Train to prepare for the AWS Certified AI Practitioner (AIF-C01) exam; Duration: Up to 31 hours and 4 minutes; Content Topics: Amazon Web Services; This learning path has: 40 Courses, 1 Exam, 10 Hands-on labs

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: 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 23 minutes; Content Topics: Development, Artificial Intelligence; This learning path has: 5 Courses

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

Difficulty: Intermediate; Description: A guide to using AI as part of your content strategy, covering the significant benefits and key considerations around the technology.; Duration: Up to 51 minutes; This learning path has: 5 Courses, 2 Exams

Difficulty: Intermediate; Description: Explore the potential of AI and its capabilities around content creation, personalization, automating repetitive tasks and how they're transforming marketing.; Duration: Up to 46 minutes; This learning path has: 5 Courses, 2 Exams

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 12 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