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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
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.
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.