Introduction to AI in Azure

Upon completion of this course, students will be able to:

• Describe core concepts of machine learning
• Identify different types of machine learning
• Describe considerations for training and evaluating machine learning models
• Describe core concepts of deep learning and Transformers
• Design a solution to get and prepare data.
• Choose a service and compute to train a model.
• Prepare for model deployment options.
• Understand what generative AI can do and how it appears in today's applications.
• Understand how language models can understand and generate language.
• Describe ways you can engineer good prompts and quality responses.
• Describe responsible generative AI concepts.
• Explore natural language processing (NLP).
• Identify Azure AI services for information extraction
• Describe Azure AI Vision information extraction capabilities
• Describe Azure AI Content Understanding information extraction capabilities
• Describe Azure AI Document Intelligence information extraction capabilities
• Describe Azure AI Search information extraction capabilities

The Introduction to AI in Azure 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 Azure and the Azure portal.
 

Introduction to AI in Azure

• Introduction to AI Concepts
  • Introduction to AI
  • Generative AI
  • Computer vision
  • Speech
  • Natural language processing
  • Extract data and insights
  • Responsible AI
  • Module assessment
  • Summary
• Get started with AI in Microsoft Foundry
  • Introduction
  • What is an AI application?
  • Components of an AI application
  • Microsoft Foundry for AI
  • Get started with Foundry
  • Understand Azure
  • Exercise - Explore AI in Microsoft Foundry
  • Knowledge check
• Introduction to machine learning concepts
  • Introduction
  • What is machine learning?
  • Types of machine learning
  • Regression
  • Binary classification
  • Multiclass classification
  • Clustering
  • Deep learning
  • Transformers
  • Module assessment
  • Summary
• Get started with machine learning in Azure
  • Introduction
  • Define the problem
  • Get and prepare data
  • Train the model
  • Use Azure Machine Learning studio
  • Integrate a model
  • Exercise - Explore Automated Machine Learning in Azure Machine Learning
  • Module assessment
  • Summary
• Introduction to generative AI and agents
  • Introduction
  • Large language models (LLMs)
  • Prompts
  • AI agents
  • Exercise - Explore generative AI agent scenarios
  • Module assessment
• Get started with generative AI in Microsoft Foundry
  • Introduction
  • Understand generative AI applications
  • Understand generative AI development in Foundry
  • Understand Foundry's model catalog
  • Understand Foundry capabilities
  • Understand observability
  • Exercise - Explore generative AI in Microsoft Foundry
  • Module assessment
• Introduction to text analysis concepts
  • Introduction
  • Tokenization
  • Statistical text analysis.
  • Semantic language models
  • Exercise - Explore text analytics
  • Module assessment
• Get started with natural language processing in Microsoft Foundry
  • Introduction
  • Understand natural language processing on Azure
  • Understand Azure Language's text analysis capabilities
  • Azure Language's conversational AI capabilities
  • Azure Translator capabilities
  • Get started in Microsoft Foundry
  • Exercise - Analyze text in Microsoft Foundry
  • Module assessment
• Introduction to AI speech concepts
  • Introduction
  • Speech-enabled solutions
  • Speech recognition
  • Speech synthesis
  • Exercise - Explore an AI speech scenario
  • Module assessment
• Get started with speech in Microsoft Foundry
  • Introduction
  • Understand speech recognition and synthesis
  • Get started with speech on Azure
  • Use Azure Speech
  • Exercise - Explore Speech in Microsoft Foundry
  • Module assessment
• Introduction to computer vision concepts
  • Introduction
  • Overview
  • Understand image processing
  • Machine learning for computer vision
  • Understand modern vision models
  • Module assessment
  • Summary
• Get started with computer vision in Microsoft Foundry
  • Introduction
  • Understand Foundry Tools for computer vision
  • Understand Azure Vision Image Analysis capabilities
  • Understand Azure Vision's Face service capabilities
  • Get started in Microsoft Foundry portal
  • Exercise - Analyze images in Microsoft Foundry
  • Module assessment
• Introduction to AI-powered information extraction concepts
  • Introduction
  • Overview
  • Understand the extraction of data from images
  • Understand the extraction of data from forms
  • Understand multimodal data extraction
  • Understand data extraction for knowledge mining
  • Module assessment
  • Summary
• Get started with AI-powered information extraction in Microsoft Foundry
  • Introduction
  • Azure AI services for information extraction
  • Extract information with Azure Vision
  • Extract multimodal information with Azure Content Understanding
  • Extract information from forms with Azure Document Intelligence
  • Create a knowledge mining solution with Azure AI Search
  • Exercise - Extract information
  • Module assessment