Creating a AI and Machine Learning course using Microsoft Learn

[Lee_Stott]

Defining Modules for AI and Machine Learning 

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. 

Module 1. Introduction to AI

Get Started with AI Fundamentals

Module 2. Machine learning 

Create no-code predictive models with Azure Machine Learning

Academic Capstone Project - Build an Machine Learning Model

Module 3. Computer Vision 

Explore Computer Vision in Microsoft Azure

Academic Capstone Project - Build a Computer Vision Solution

Module 4. Natural Language Processing 

Explore Natural Language Processing

Academic Capstone Project - Build a Natural Language Processing Solution 


Module 5. Conversational AI

Explore Conversational AI

Academic Capstone Project - Build a Bot

Example course structure and resources 

Module and Description	Lesson	Key Topics	In-Class Demonstrations and Labs	Aligned Online Learning on Microsoft Learn
Module 0 – Course Introduction: 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.	Lesson 1 – Azure AI Fundamentals	What is Artificial Intelligence? Common Artificial Intelligence Workloads Artificial Intelligence in Microsoft Azure What can you do with Artificial Intelligence?	Demo: Getting started with the Azure portal	Get Started with Azure AI Fundamentals
	Lesson 2 – Responsible AI	Challenges and Risks with AI Principles of Responsible AI	Lab: Review example scenarios and identify the Responsible AI principle(s) that apply
Module 2 – Machine Learning: 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.	Lesson 1 –Introduction to Machine Learning	What is machine learning? Regression Classification Clustering		Create no-code predictive models with Azure Machine Learning
	Lesson 2 – Azure Machine Learning	What is Azure Machine Learning? Automated machine learning Azure Machine Learning Designer	Lab: Create an Azure Machine Learning workspace, create compute targets, explore data, train a machine le... Optional Demonstration: Create a classification model with Azure Machine Learning Designer
Module 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 module you'll explore multiple computer vision techniques and services	Lesson 1 – Computer Vision Concepts	What is Computer Vision Computer Vision Models Applications of Computer Vision	Demo: Show some examples of Computer Vision	Explore Computer Vision in Microsoft Azure
	Lesson 2 – Computer Vision in Azure	Cognitive Services Image Analysis with the Computer Vision Service Training Models with the Custom Vision Service Analyzing Faces with the Face Service Reading Text with the Computer Vision Service Analyzing Forms with the Form Recognizer Service	Lab: Create an image classification solution
Module 4 – Natural Language Processing: 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	What is Natural Language Processing? Natural Language Processing in Azure	Demo: Natural Language Processing	Explore Natural Language Processing
	Lesson 2 – Using Natural Language Processing Services	Text Analytics Speech Recognition and Synthesis Translation Language Understanding	Lab: Create a LUIS application
Module 5 – Conversational AI: 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.	Lesson 1 – Conversational AI Concepts	What is Conversational AI? Responsible AI Guidelines for Bots	Demo: Using a Bot	Explore Conversational AI
	Lesson 2 – Conversational AI in Azure	QnA Maker Service Azure Bot Service	Lab: Create a Bot