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Microsoft Professional Capstone : Artificial Intelligence


Solve a real-world artificial intelligence problem in this capstone project for the Microsoft Professional Program in AI

About this course

This course is part of the Microsoft Professional Program in Artificial Intelligence.

Showcase the knowledge and skills you've acquired during the Microsoft Professional Program for Artificial Intelligence, and solve a real-world AI problem in this program capstone project. The project takes the form of a challenge in which you will develop a deep learning solution that is tested and scored to determine your grade.

Note: This course assumes you have completed the previous courses in the Microsoft Professional Program for Artificial Intelligence.

What you'll learn

This course is unusual in that it is a test of the knowledge and skills you have developed by taking other courses. The point of this capstone project is to enable to to gain experience of applying these skills to solve a real problem.

Prerequisites

To complete this course successfully, you should have completed the previous courses in the Microsoft Professional Program for Artificial Intelligence. For details, go to Microsoft Professional Program in Artificial Intelligence.

Course Syllabus

This course consists of a practical project in which you must tackle an AI challenge.

Meet the instructors

Graeme Malcolm

Graeme Malcolm

Senior Content Developer
Microsoft Learning Experiences

Graeme has been a trainer, consultant, and author for longer than he cares to remember, specializing in SQL Server and the Microsoft data platform. He is a Microsoft Certified Solutions Expert for the SQL Server Data Platform and Business Intelligence. After years of working with Microsoft as a partner and vendor, he now works in the Microsoft Learning Experiences team as a senior content developer, where he plans and creates content for developers and data professionals who want to get the best out of Microsoft technologies.

  1. Course Number

    DAT264x
  2. Classes Start

  3. Classes End

  4. Estimated Effort

    Total 24 to 32 hours
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