I wanted to share some guidance on using Microsoft Learn resources to build a rounded curriculum and insights into the specific modules and assessments for AI and Machine Learning courses. From this content your course should have some great graduate outcomes.
This module provides a high-level course format and objectives as well as an outline of the course.
Module 1 – Introduction to AI:
In this module, 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.
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.
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
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
Lesson 1 – Introduction to Natural Language Processing
Conversational AI enables users to engage in a dialog with an AI agent, or Bot, through communication channels such as email, webchat interfaces, social media, and others. This module describes some basic principles for working with bots and gives you an opportunity to create a bot that can respond intelligently to user questions.