• Classroom
  • Online, Instructor-Led

Microsoft Azure AI Fundamentals introduces fundamental 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. 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. 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.

Learning Objectives

  • Fundamental AI Concepts
  • Fundamentals of machine learning
  • Fundamentals of Azure AI services
  • Fundamentals of Computer Vision
  • Fundamentals of Facial Recognition
  • Fundamentals of Optical Character Recognition
  • Fundamentals of Text Analysis with the Language Service
  • Fundamentals of question answering with the Language Service
  • Fundamentals of conversational language understanding
  • Fundamentals of Azure AI Speech
  • Fundamentals of Azure AI Document Intelligence
  • Fundamentals of Knowledge Mining with Azure Cognitive Search
  • Fundamentals of Generative AI
  • Fundamentals of Azure OpenAI Service
  • Fundamentals of Responsible Generative AI

Framework Connections

The materials within this course focus on the NICE Framework Task, Knowledge, and Skill statements identified within the indicated NICE Framework component(s):