AI-900T00: Microsoft Azure AI Fundamentals
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.
Learning Path 1: Introduction to Artificial Intelligence
In this learning path, 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.
Modules
- Introduction to Artificial Intelligence
- Artificial Intelligence in Microsoft Azure
Lab:
- Explore Cognitive Services
After completing this learning path you will be able to:
- Describe Artificial Intelligence workloads and considerations
Learning Path 2: Machine Learning
Machine learning is the foundation for modern AI solutions. In this learning path, 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.
Modules
- Introduction to Machine Learning
- Azure Machine Learning
Lab:
- Explore Automated Machine Learning in Azure ML
After completing this learning path you will be able to:
- Describe fundamental principles of machine learning on Azure
Learning Path 3: Computer Vision
Computer vision is the area of AI that deals with understanding the world visually, through images, video files, and cameras. In this learning path you'll explore multiple computer vision techniques and services.
Modules
- Computer Vision Concepts
- Computer Vision solutions in Azure
Lab:
- Explore Computer Vision
After completing this learning path you will be able to:
- Describe features of computer vision workloads on Azure
Learning Path 4: Natural Language Processing
This learning path 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.
Module
Introduction to Natural Language Processing
Building Natural Language Solutions in Azure
Lab:
Explore text analytics
After completing this learning path you will be able to:
Describe features of Natural Language Processing (NLP) workloads on Azure
