AI & Machine Learning

Author: Stephen Cole; Type: updated learning path; 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 66 hours and 51 minutes; Content Topics: Identity and Access Management, Machine Learning; 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 5 hours and 46 minutes; Content Topics: Machine Learning; This learning path has: 8 Courses, 1 Resource, 1 Exam, 2 Hands-on labs

Author: Guy Hummel; Difficulty: Intermediate; Duration: 21 minutes and 41 seconds; Content Topics: Big Data, Machine Learning; This course has: 6 Lectures

Author: Francesco Mosconi; Difficulty: Beginner; Duration: 36 minutes and 43 seconds; Content Topics: Machine Learning; This course has: 7 Lectures

Author: Jeremy Cook; Difficulty: Beginner; Duration: 48 minutes and 23 seconds; Content Topics: Machine Learning; This course has: 7 Lectures

Author: Jeremy Cook; Difficulty: Intermediate; Duration: 1 hour and 26 minutes; Content Topics: Big Data, Machine Learning; This course has: 12 Lectures

Author: Calculated Systems; Difficulty: Beginner; Duration: 28 minutes and 33 seconds; Content Topics: Machine Learning; This course has: 5 Lectures

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 learning path has: 4 Courses, 1 Lab challenge, 3 Exams, 3 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: 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: 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: 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: 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 50 minutes; This learning path has: 4 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 45 minutes; This learning path has: 4 Courses, 2 Exams

Author: Guy Hummel; Difficulty: Beginner; Duration: 10 minutes and 35 seconds; Content Topics: Machine Learning; This course has: 3 Lectures

Author: Guy Hummel; Difficulty: Beginner; Duration: 22 minutes and 46 seconds; Content Topics: Machine Learning; This course has: 4 Lectures

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 18 hours and 42 minutes; Content Topics: Web, Machine Learning; This learning path has: 14 Courses, 1 Resource, 2 Exams, 10 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 learning path has: 3 Courses, 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 36 minutes; Content Topics: NoSQL, Big Data, Machine Learning; This learning path has: 13 Courses, 1 Resource, 2 Exams, 3 Hands-on labs

Author: Ben Lambert; Difficulty: Advanced; Description: Learn how to write a Python application that interacts with other services - using real-world unit tests, debugging, deployment, and optimization techniques.; Duration: Up to 5 hours and 11 minutes; Content Topics: Development, DevOps; This learning path has: 2 Courses, 2 Lab challenges, 2 Exams

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 17 hours; Content Topics: Machine Learning; This learning path has: 11 Courses, 1 Lab challenge, 1 Resource, 1 Exam, 4 Hands-on labs