Course Details
Duration: 1 day; Instructor-led
This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. 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.
Audience
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.
Prerequisites
Familiarity with computers and using a web browser.
Methodology
This program will be conducted with interactive lectures, PowerPoint presentation, discussion and practical exercise.
Course Objectives
After completing this course, you will be able to:
· Describe Artificial Intelligence workloads and considerations
· Describe fundamental principles of machine learning on Azure
· Describe features of computer vision workloads on Azure
· Describe features of Natural Language Processing (NLP) workloads on Azure
· Describe features of conversational AI workloads on Azure
Outlines
Module 1 - Introduction to AI
In this module, you will learn about 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.
Lessons
- Artificial Intelligence in Azure
- Responsible AI
After completing this module, you will be able to
- Describe Artificial Intelligence workloads and considerations
Module 2 - Machine Learning
Lessons
- Introduction to Machine Learning
- Azure Machine Learning
After completing this module, you will be able to
Describe fundamental principles of machine learning on Azure
Module 3 - Computer Vision
Lessons
- Computer Vision Concepts
- Computer Vision in Azure
After completing this module, you will be able to
- Describe features of computer vision workloads on Azure
Module 4 - Natural Language Processing
After completing this module, you will be able to
- Describe features of Natural Language Processing (NLP) workloads on Azure
Module 5 - Conversational AI
Lessons
- Conversational AI Concepts
- Conversational AI in Azure
After completing this module, you will be able to
- Describe features of conversational AI workloads on Azure
