AI-900T00: Introduction to AI in Azure
Duration: 1 Day
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 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.
Introduction to AI concepts
Curious about artificial intelligence? Want to understand what the buzz is about? This module introduces you to the world of AI.
- Generative AI and agents
- Text and natural language
- Speech
- Computer vision
- Information extraction
- Responsible AI
- Exercise - Explore a simple AI agent
(AI-900) Get started with Microsoft Foundry
In this module you'll learn how Microsoft enables you to build AI with the latest technology, securely, and at scale.
- What is an AI application?
- Components of an AI application
- Microsoft Foundry for AI
- Get started with Foundry
- Understand Azure
- Exercise - Get started with Microsoft Foundry
Introduction to machine learning concepts
Machine learning is the basis for most modern artificial intelligence solutions. A familiarity with the core concepts on which machine learning is based is an important foundation for understanding AI.
- Machine learning models
- Types of machine learning model
- Regression
- Binary classification
- Multiclass classification
- Clustering
- Deep learning
- Exercise - Explore machine learning scenarios
Get started with machine learning in Azure
- 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
Introduction to generative AI and agents
Generative AI powers applications that can create content, answer questions, and assist with tasks. In this module, you'll explore the fundamentals of generative AI, including large language models (LLMs), prompts, and AI agents.
- Large language models (LLMs)
- Prompts
- AI agents
- Exercise - Explore generative AI agent scenarios
(AI-900) Get started with generative AI and agents in Microsoft Foundry
Learn how you can build generative AI applications and agents in Microsoft Foundry. Understand how to use Microsoft Foundry's extensive model marketplace, playgrounds, and evolving features.
- Understand generative AI applications
- Understand generative AI development in Foundry
- Understand Foundry's model catalog
- Understand Foundry capabilities
- Understand observability
- Exercise - Get started with generative AI and agents in Microsoft Foundry
Introduction to natural language processing concepts
Natural language processing (NLP) supports applications that can analyze text to infer semantic meaning.
- Tokenization
- Statistical text analysis.
- Semantic language models
- Exercise - Explore text analytics
(AI-900) Get started with natural language processing in Microsoft Foundry
Explore Azure Language's text analysis features, which include sentiment analysis, key phrase extraction, named entity recognition, and language detection.
- 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 - Get started with text analysis in Microsoft Foundry
Introduction to AI speech concepts
Imagine AI apps and agents that you can talk to. Explore the concepts behind AI speech, including speech recognition and synthesis.
- Speech-enabled solutions
- Speech recognition
- Speech synthesis
- Exercise - Explore an AI speech scenario
(AI-900) Get started with speech in Microsoft Foundry
Learn how to recognize and synthesize speech by using Azure Speech in Foundry Tools.
- Understand speech recognition and synthesis
- Get started with speech on Azure
- Use Azure Speech
- Exercise - Get started with speech in Microsoft Foundry
Introduction to computer vision concepts
Introduction to computer vision concepts
- Computer vision tasks and techniques
- Images and image processing
- Convolutional neural networks
- Vision transformers and multimodal models
- Image generation
- Exercise - Explore a computer vision scenario
(AI-900) Get started with computer vision in Microsoft Foundry
Azure Vision service enables software engineers to create intelligent solutions that extract information from images; a common task in many artificial intelligence (AI) scenarios.
- 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 - Get started with computer vision in Microsoft Foundry
Introduction to AI-powered information extraction concepts
AI information extraction enables you to extract data values from documents, images, and other unstructured data sources.
- Overview of information extraction
- Optical character recognition (OCR)
- Field extraction and mapping
- Exercise - Explore AI information extraction
(AI-900) Get started with AI-powered information extraction in Microsoft Foundry
AI gives you the power to unlock insights from your data. In this module, you'll learn how to use Foundry Tools to extract information from content.
- 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 - Get started with information extraction in Microsoft Foundry