Course Description: AI-900: Microsoft Azure AI Fundamentals

This course introduces fundamental concepts related to artificial intelligence (AI) and services in Microsoft Azure that can be used to build AI solutions. The course is not designed to teach students how to become professional data scientists or software developers, but rather 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 mixes instructor-led coursework with online materials on the Microsoft Learn platform (https://azure.com/learn). The course's hands-on exercises are based on Learn modules, and students are encouraged to use Learn content as reference materials to reinforce what they learn in class and explore the topics in greater depth.

Audience profile

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 build them. You don't need to have any experience using Microsoft Azure before taking this course, but a basic level of familiarity with computing 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 a knowledge of fundamental programming principles will be helpful.

Training Route

• Introduction to artificial intelligence in Azure (10 units)
• Using automated machine learning in Azure Machine Learning (9 Units)
• Building a Regression Model with Azure Machine Learning Designer (8 Units)
• Building a Classification Model with Azure Machine Learning Designer (8 Units)
• Building a clustering model with Azure Machine Learning designer (10 units)
• Image analysis with the Computer Vision service (5 Units)
• Image Classification with Custom Vision Service (6 Units)
• Object detection in images with the Custom Vision service (6 Units)
• Face detection and analysis with the Face service (5 Units)
• Reading texts with the Computer Vision service (5 Units)
• Receipt Analysis with Form Recognizer Service (5 Units)
• Text analysis with the Language service (5 units)
• Voice recognition and synthesis (5 units)
• Text and voice translation (5 units)
• Creating a language model with conversational language recognition (5 Units)
• Building a Bot with Language Service and Azure Bot Service (5 Units)

Prerequisites

No prerequisite certification is required to take this course. Students in the Azure AI Fundamentals course begin with a basic understanding of computing and internet concepts and a demonstrated interest in using Azure AI services.

Specifically:

• Experience using equipment and the Internet.
• Interest in use cases for artificial intelligence applications and machine learning models.
• Desire to learn through hands-on exploration.

Course outline

Module 1: Exploring the Fundamentals of Artificial Intelligence

In this module, you will learn about common uses of artificial intelligence (AI) and the different types of workloads associated with AI. You will then explore considerations and principles for responsible AI development.

Lessons

• Introduction to artificial intelligence
• Artificial Intelligence in 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 AI solutions. In this module, you will learn about some fundamental machine learning concepts and how to use the Azure Machine Learning service to build and publish machine learning models.

Lessons

• 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.

Lessons

• 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 in 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 will learn about Azure services that can be used to build solutions that analyze text, recognize and synthesize speech, translate between languages, and interpret commands.

Lessons

• Introduction to Natural Language Processing
• Building Natural Language Solutions on Azure

After completing this module, students will be able to:

• Describe the characteristics of natural language processing (NLP) workloads in Azure

Language

• Course: English / Spanish
• Labs: English / Spanish