The course is not designed to teach students 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 combines instructor-led training with online materials on the Microsoft Learn platform (https://azure.com/learn). The hands-on exercises in the course are based on Learn modules, and students are encouraged to use the content on Learn as reference materials to reinforce what they learn in the class and to explore topics in more depth.
Date: 11/25/2024 - 11/25/2024 (Monday - Monday) | 9:00 AM - 5:00 PM (EST)
Location: ONLINE (Virtual Classroom Live)
Delivery Format: VIRTUAL CLASSROOM LIVE
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Date: 01/31/2025 - 01/31/2025 (Friday - Friday) | 9:00 AM - 5:00 PM (EST)
Location: ONLINE (Virtual Classroom Live)
Delivery Format: VIRTUAL CLASSROOM LIVE
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Date: 03/24/2025 - 03/24/2025 (Monday - Monday) | 9:00 AM - 5:00 PM (EDT)
Location: ONLINE (Virtual Classroom Live)
Delivery Format: VIRTUAL CLASSROOM LIVE
Request Quote & Enroll
Module 1: Introduction to AI
In this module, you'll learn about common uses of artificial intelligence (AI), and the different types of workload associated with AI. You'll then explore considerations and principles for responsible AI development.
Lessons
After completing this module you will be able to
Module 2: Machine Learning
Machine learning is the foundation for modern AI 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.
Lessons
After completing this module you will be able to
Describe fundamental principles of machine learning on Azure
Module 3: Computer Vision
Computer vision is a the area of AI that deals with understanding the world visually, through images, video files, and cameras. In this module you'll explore multiple computer vision techniques and services.
Lessons
After completing this module you will be able to
Module 4: 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.
After completing this module you will be able to
Module 5: Conversational AI
Conversational AI enables users to engage in a dialog with an AI agent, or *bot*, through communication channels such as email, webchat interfaces, social media, and others. This module describes some basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions.
Lessons
After completing this module you will be able to
You will learn to,
Familiarity with computers and using a web browser.
The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don’t need to have any experience of 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 charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful.
