This course introduces fundamental concepts related to artificial intelligence (AI) and services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students how to become professional data scientists or software developers, but to build awareness of common AI workloads and the ability to identify Azure services to support them. The course is designed as a blended learning experience that blends instructor-led courses with online materials on the Microsoft Learn platform. The practical exercises in the course are based on Learn modules, and students are encouraged to use the Learn content as reference materials to reinforce what they learn in class and explore topics in greater depth. AI-900: Azure AI Fundamentals
The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solutions that artificial intelligence (AI) makes possible and the services in Microsoft Azure that you can use to create them. You do not need to have any experience using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret graphs. The course includes hands-on activities that involve working with data and running code, so knowing fundamental programming principles will be helpful. Cursos oficiales de Microsoft
Module 1: Exploring the basics of artificial intelligence
In this module, you will learn about the common uses of artificial intelligence (AI) and the different types of workload associated with AI. You will then explore considerations and principles for responsible AI development.
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Introduction to artificial intelligence
Artificial intelligence on Microsoft Azure
After completing this module, students will be able to:
Describe AI workloads and considerations
Module 2: Exploring the Fundamentals of Machine Learning
Machine learning is the foundation of modern artificial intelligence solutions. In this module, you'll learn about some fundamental machine learning concepts and how to use the Azure Machine Learning service to create and publish machine learning models.
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Introduction to machine learning
Azure Machine Learning
After completing this module, students will be able to:
Describe the fundamental principles of machine learning in Azure
Module 3 - Exploring the Fundamentals of Computer Vision
Computer vision is an area of AI that deals with understanding the world visually, through images, video files, and cameras. In this module, you will explore multiple computer vision techniques and services.
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computer vision concepts
Building Computer Vision solutions on Azure
After completing this module, students will be able to:
Describe the characteristics of computer vision workloads on Azure
Module 4 – Exploring the Fundamentals of Natural Language Processing
This module describes scenarios for AI solutions that can process written and spoken language. You'll learn about Azure services that can be used to build solutions that analyze text, recognize and synthesize speech, translate between languages, and interpret commands.
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Introduction to natural language processing
Building natural language solutions on Azure
After completing this module, students will be able to:
Describe the features of Natural Language Processing (NLP) workloads on Azure