Microsoft Azure Machine Learning

This course is part of multiple programs. Learn more

Instructor: Microsoft

What you'll learn

  •   How to describe capabilities of no-code machine learning with Azure Machine Learning Studio
  •   How to identify core tasks in creating a machine learning solution
  •   How to describe core machine learning concepts
  •   How to identify common machine learning types
  • Skills you'll gain

  •   Predictive Modeling
  •   Automation
  •   Artificial Intelligence
  •   Machine Learning Algorithms
  •   Regression Analysis
  •   Statistical Machine Learning
  •   Supervised Learning
  •   Classification And Regression Tree (CART)
  •   Unsupervised Learning
  •   Applied Machine Learning
  •   Microsoft Azure
  •   Machine Learning
  •   Machine Learning Methods
  • There are 4 modules in this course

    This course will help you prepare for Exam AI-900: Microsoft Azure AI Fundamentals. This is the second course in a five-course program that prepares you to take the AI-900 certification exam. This course teaches you the core concepts and skills that are assessed in the AI fundamentals exam domains. This beginner course is suitable for IT personnel who are just beginning to work with Microsoft Azure and want to learn about Microsoft Azure offerings and get hands-on experience with the product. Microsoft Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Microsoft Azure Data Scientist Associate or Microsoft Azure AI Engineer Associate, but it is not a prerequisite for any of them. This course is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience is not required; however, some general programming knowledge or experience would be beneficial. To be successful in this course, you need to have basic computer literacy and proficiency in the English language. You should be familiar with basic computing concepts and terminology, general technology concepts, including concepts of machine learning and artificial intelligence.

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