Microsoft Azure AI Fundamentals

This course introduces fundamentals 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 (https://azure.com/learn). 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.
 

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.
 

Familiarity with computers and using a web browser.
 

Microsoft Azure AI Fundamentals: AI Overview Fundamental AI Concepts

• Introduction to AI
• Understand machine learning
• Understand computer vision
• Understand natural language processing
• Understand document intelligence and knowledge mining
• Understand generative AI
• Challenges and risks with AI
• Understand Responsible AI
• Knowledge check

Fundamentals of machine learning

• Introduction
• What is machine learning?
• Types of machine learning
• Regression
• Binary classification
• Multiclass classification
• Clustering
• Deep learning
• Azure Machine Learning
• Exercise - Explore Automated Machine Learning in Azure Machine Learning
• Knowledge check

Fundamentals of Azure AI services

• Introduction
• AI services on the Azure platform
• Create Azure AI service resources
• Use Azure AI services
• Understand authentication for Azure AI services
• Exercise - Explore Azure AI Services
• Knowledge check

Microsoft Azure AI Fundamentals: Computer Vision Fundamentals of Computer Vision

• Introduction
• Images and image processing
• Machine learning for computer vision
• Azure AI Vision
• Exercise - Analyze images in Vision Studio
• Knowledge check

Fundamentals of Facial Recognition

• Introduction
• Understand Face analysis
• Get started with Face analysis on Azure
• Exercise - Detect faces in Vision Studio
• Knowledge check

Fundamentals of optical character recognition

• Introduction
• Get started with Vision Studio on Azure
• Exercise - Read text in Vision Studio
• Knowledge check

Microsoft Azure AI Fundamentals: Natural Language Processing Fundamentals of Text Analysis with the Language Service

• Introduction
• Understand Text Analytics
• Get started with text analysis
• Exercise - Analyze text with Language Studio
• Knowledge check

Fundamentals of question answering with the Language Service

• Introduction
• Understand question answering
• Get started with the Language service and Azure Bot Service
• Exercise - Use question answering with Language Studio
• Knowledge check

Fundamentals of conversational language understanding

• Introduction
• Describe conversational language understanding
• Get started with conversational language understanding in Azure
• Exercise - Use Conversational Language Understanding with Language Studio
• Knowledge check

Fundamentals of Azure AI Speech

• Introduction
• Understand speech recognition and synthesis
• Get started with speech on Azure
• Exercise - Explore Speech Studio
• Knowledge check

Fundamentals of Language Translation

• Introduction
• Understand translation concepts
• Understand translation in Azure
• Get started with translation in Azure
• Exercise - Explore Azure AI Translator
• Knowledge check

Microsoft Azure AI Fundamentals: Document Intelligence and Knowledge Mining Fundamentals of Azure AI Document Intelligence

• Introduction
• Explore capabilities of document intelligence
• Understand Azure AI Document Intelligence capabilities
• Exercise - Extract form data in Document Intelligence Studio
• Knowledge check

Fundamentals of Knowledge Mining and Azure AI Search

• Introduction
• What is Azure AI Search?
• Identify elements of a search solution
• Use a skillset to define an enrichment pipeline
• Understand indexes
• Use an indexer to build an index
• Persist enriched data in a knowledge store
• Create an index in the Azure portal
• Query data in an Azure AI Search index
• Exercise - Explore an Azure AI Search index (UI)
• Knowledge check

Microsoft Azure AI Fundamentals: Generative AI Fundamentals of Generative AI

• Introduction
• What is generative AI?
• Large language models
• What is Azure OpenAI?
• What are copilots?
• Improve generative AI responses with prompt engineering
• Exercise - Explore generative AI with Bing Copilot
• Knowledge check

Introduction to Azure AI Studio

• Introduction
• What is Azure AI Studio?
• How does Azure AI Studio work
• When to use Azure AI Studio
• Exercise - Explore Azure AI Studio
• Knowledge check

Responsible generative AI

• Introduction
• Plan a responsible generative AI solution
• Identify potential harms
• Measure potential harms
• Mitigate potential harms
• Operate a responsible generative AI solution
• Exercise - Explore content filters in Azure AI Studio