Developing AI Applications on Azure

Start Date: 07/05/2020

Course Type: Common Course

Course Link: https://www.coursera.org/learn/developing-ai-applications-azure

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About Course

This course introduces the concepts of Artificial Intelligence and Machine learning. We'll discuss machine learning types and tasks, and machine learning algorithms. You'll explore Python as a popular programming language for machine learning solutions, including using some scientific ecosystem packages which will help you implement machine learning. Next, this course introduces the machine learning tools available in Microsoft Azure. We'll review standardized approaches to data analytics and you'll receive specific guidance on Microsoft's Team Data Science Approach. As you go through the course, we'll introduce you to Microsoft's pre-trained and managed machine learning offered as REST API's in their suite of cognitive services. We'll implement solutions using the computer vision API and the facial recognition API, and we'll do sentiment analysis by calling the natural language service. Using the Azure Machine Learning Service you'll create and use an Azure Machine Learning Worksace.Then you'll train your own model, and you'll deploy and test your model in the cloud. Throughout the course you will perform hands-on exercises to practice your new AI skills. By the end of this course, you will be able to create, implement and deploy machine learning models.

Course Syllabus

Introduction to Artificial Intelligence
Standardized AI Processes and Azure Resources
Azure Cognitive APIs
Azure Machine Learning Service: Model Training
Azure Machine Learning Service: Model Management and Deployment

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Course Introduction

Developing AI Applications on Azure This course is the third course in the specialization about developing applications on the Microsoft Azure platform. In this course, we will focus on three main topics: 1. Describing the state of the art in AI applications on Azure; 2. Implementing AI into your own applications (i.e., as a service); 3. Using Azure IoT Core for machine learning and/or artificial intelligence; We will use Azure Machine Learning as a service (MLaaS) offering. This service is available for a very low monthly fee and includes the DLNA, IPL and AWS services. By the end of this course, you will: 1. Understand the state of the art in AI applications on Azure; 2. Implement AI into your own applications (i.e., as a service), (Amazon AWS services), and (DLNA, IPL and AWS services); 3. Use Azure IoT Core for machine learning and/or artificial intelligence; We will use Unity as our C#/Jupyter notebook environment. This will allow you to run your own machine learning/AI code and interact with the data in the favorite notebook (the one in the course) of your choice. Note that this course does not include discussion forums. If you have questions about course content, please post a question in the forums. Note that this course does not include discussion forums. If you have questions

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