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
Prerequisite
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.
Target 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.
Course Curriculum
Module 1: Fundamental AI Concepts
Module 2: Fundamentals of machine learning
Module 3: Fundamentals of Azure AI services
Module 4: Fundamentals of Computer Vision
Module 5: Fundamentals of Facial Recognition
Module 6: Fundamentals of optical character recognition
Module 7:Fundamentals of Text Analysis with the Language Service
Module 8: Fundamentals of question answering with the Language Service
Module 9: Fundamentals of conversational language understanding
Module 10: Fundamentals of Azure AI Speech
Module 11: Fundamentals of Azure AI Document Intelligence
Module 12: Fundamentals of Knowledge Mining and Azure AI Search
Module 13: Fundamentals of Knowledge Mining and Azure AI Search
Module 14: Fundamentals of Generative AI
Module 15: Fundamentals of Azure OpenAI Service
Module 16: Fundamentals of Responsible Generative AI