Overview

This four-course Specialization provides a practical, end-to-end introduction to Microsoft Azure, spanning core infrastructure, data analytics, and applied artificial intelligence. Learners progress from configuring secure Azure environments and virtual networks, to processing and analyzing data with modern analytics tools, and finally to building, training, and deploying machine learning models using Azure Machine Learning and Cognitive Services. The curriculum emphasizes hands-on implementation and standardized industry practices, including Microsoft’s Team Data Science Process, preparing learners to make informed technical decisions and deliver resilient, scalable cloud solutions aligned to real organizational needs.

Syllabus

Course 1: Azure Infrastructure Fundamentals
Course 2: Data Processing with Azure
Course 3: Getting Started with Azure
Course 4: Developing AI Applications on Azure

Courses

4 reviews
15 hours 40 minutes
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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.
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20 hours 22 minutes
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This course is an introduction to Microsoft Azure services. Students will gain familiarity with core Azure topics and practice implementation of infrastructure components.
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12 hours 42 minutes
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This Azure training course is designed to equip students with the knowledge need to process, store and analyze data for making informed business decisions. Through this Azure course, the student will understand what big data is along with the importance of big data analytics, which will improve the students mathematical and programming skills. Students will learn the most effective method of using essential analytical tools such as Python, R, and Apache Spark.
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1 day 6 hours 13 minutes
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Microsoft Azure is a service created by Microsoft to provide cloud computing for creating and managing applications and services using a cloud environment. Azure provides software as a service (SaaS), platform as a service (PaaS) and infrastructure as a service (IaaS). The platform supports many programming languages and frameworks and can be used alone or in a multi-vendor cloud environment. This course focuses on the Fundamentals of Azure Infrastructure including infrastructure as a service. We’ll begin with understanding the subscription, configuring security and acquiring storage. Then you’ll build virtual machines and VNETS. Azure environments can be highly available and very resilient. Data can be backed up to the cloud for safety. These are the concepts we will discuss in this course.