This course introduces the concepts of Artificial Intelligence and Machine learning. 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.
In July, our team of expert certification specialists released five new or updated learning paths, 23 courses, 26 hands-on labs, and eight lab challenges! Good news: we've created a new category in the training library! It is a dedicated space for Microsoft 365 content, which is in high demand from our customers. Going forward, you can find all your Microsoft 365 in one convenient place in the training library. June's new content fell into these categories: This course explores AWS Secrets Manager to help you understand how it can be used to implement security best practices by protecting your secrets such as database credentials, API keys, and plaintext.
Learn the fundamentals of Microsoft's Machine Learning and Artificial Intelligence services and how to build applications using them. Develop practical job skills that you can start using straight away. Courses provided free in partnership with Pluralsight. Overview Using Microsoft Cognitive Services in your applications Let's begin with this short video that explains the Microsoft Cognitive Services and shows a sample application. Explain to a friend what Cognitive Services are and give an example of how you can use them in an application. Introduction and Setup Install and configure Visual Studio To get started, you'll need Visual Studio to create and run your Cognitive Services application. Open Visual Studio and create a simple application.
More and more organizations are taking on the challenge of analyzing big data. This course teaches you how to use the Hadoop technologies in Microsoft Azure HDInsight to build batch processing solutions that cleanse and reshape data for analysis. In this five-week course, you'll learn how to use technologies like Hive, Pig, Oozie, and Sqoop with Hadoop in HDInsight; and how to work with HDInsight clusters from Windows, Linux, and Mac OSX client computers. Course Syllabus Module 1: Getting Started with HDInsight The course begins with an introduction to big data concepts and Hadoop, before examining Microsoft Azure HDInsight and the Hadoop distribution it provides. You'll learn how to provision an HDInsight cluster, upload data to the cluster, and perform Map/Reduce jobs that process the data.