Developing AI Applications on Azure

Overview

Discover the fascinating world of artificial intelligence (AI) with our "Developing AI Applications on Azure" course, offered through Coursera. Dive into the foundational concepts of AI and machine learning, including the various types and tasks of machine learning, as well as the algorithms that power them.

Uncover the capabilities of Python for creating sophisticated machine learning solutions, augmented by scientific ecosystem packages for effective implementation.

This course further explores the comprehensive machine learning tools available on Microsoft Azure. Learn about standardized data analytics approaches and receive detailed instructions on Microsoft’s Team Data Science Approach.

Experience hands-on learning with Microsoft’s pre-trained and managed machine learning services, including the use of cognitive services like the Computer Vision API, Facial Recognition API, and Natural Language Service for sentiment analysis.

Employ the Azure Machine Learning Service to create and manage an Azure Machine Learning Workspace. Engage in practical exercises to train your own model, deploying and testing it in the cloud.

By the end of this course, you will possess the skills to create, implement, and deploy machine learning models, opening up a world of opportunities in AI applications on Azure.

Categories:

Artificial Intelligence Courses, Machine Learning Courses, Cloud Computing Courses.

Taught by

Ronald J. Daskevich, DCS

Subjects