MS Azure AI Fundamentals (AI-900)
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.
Training at a glance
Level
Beginner
Duration
1 Day
Experience
1 year: Azure AI Fundamentals
Average Salary
$90,000
Labs
No
Level
Beginner
Duration
1 Day
Experience
1 year: Azure AI Fundamentals
Average Salary
$90,000
Labs
No
Training Details
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.
Course Objectives
In this course, you will:
- Describe Artificial Intelligence workloads and considerations (20–25%)
- Describe fundamental principles of machine learning on Azure (25–30%)
- Describe features of computer vision workloads on Azure (15–20%)
- Describe features of Natural Language Processing (NLP) workloads on Azure (25–30%)
Lesson 1: Explore Fundamentals of Artificial Intelligence
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
- Introduction to Artificial Intelligence
- Artificial Intelligence in Microsoft Azure
After completing this module, students will be able to:
- Describe Artificial Intelligence workloads and considerations
Lesson 2: Explore Fundamentals of 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
- Introduction to Machine Learning
- Azure Machine Learning
After completing this module, students will be able to:
- Describe fundamental principles of machine learning on Azure
Lesson 3: Explore Fundamentals of Computer Vision
Computer vision is 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
- Computer Vision Concepts
- Creating Computer Vision solutions in Azure
After completing this module, students will be able to:
- Describe features of computer vision workloads on Azure
Lesson 4: Explore 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.
Lessons
- Introduction to Natural Language Processing
- Building Natural Language Solutions in Azure
After completing this module, students will be able to:
- Describe features of Natural Language Processing (NLP) workloads on Azure
Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services.
Specifically:
- Experience using computers and the internet
- Interest in use cases for AI applications and machine learning models
- A willingness to learn through hands-on exploration
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