Microsoft Azure AI Fundamentals AI900 Course Outline
Within this Microsoft training course, you will learn the following modules:
Module 1: Explore Fundamentals of Artificial Intelligence
In this module, you'll learn about common uses of artificial intelligence (AI), and the several types of workloads 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
Module 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
Module 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
Module 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