Introduction to AI in Azure

This course introduces core concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions.

Introduction to AI conceptsCurious about artificial intelligence? Want to understand what all the buzz is about? This module introduces you to the world of AI. Introduction to AI Generative AI Computer vision Speech Natural language processing Extract data and insights Responsible AI Module assessment Summary Introduction to machine learning conceptsMachine 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. Introduction Machine learning models Types of machine learning model Regression Binary classification Multiclass classification Clustering Deep learning Exercise - Explore machine learning scenarios Module assessment Summary Get started with machine learning in AzureLearn how to design a model training solution for machine learning projects. 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 agentsGenerative 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. Introduction Large language models (LLMs) Prompts AI agents Exercise - Explore generative AI agent scenarios Module assessment Summary Get started with generative AI in AzureLearn how you can build generative AI applications in Microsoft Foundry portal. Understand how to use Microsoft Foundry portal’s extensive model marketplace, playgrounds, and evolving features. Introduction Understand generative AI applications Understand tools to develop generative AI Understand Microsoft Foundry's model catalog Understand Microsoft Foundry capabilities Understand observability Exercise - Explore generative AI in Microsoft Foundry portal Module assessment Summary Introduction to natural language processing conceptsNatural language processing (NLP) supports applications that can see, hear, speak with, and understand users. In this module you learn about the concepts that make NLP possible. Introduction Understand how language is processed Understand statistical techniques for NLP Understand semantic language models Exercise - Explore a natural language processing scenario Module assessment Summary Get started with natural language processing in AzureExplore Azure Language's natural language processing (NLP) features, which include sentiment analysis, key phrase extraction, named entity recognition, and language detection. 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 portal Module assessment Summary Introduction to AI speech conceptsImagine AI apps and agents that you can talk to. Explore the concepts behind AI speech, including speech recognition and synthesis. Introduction Speech-enabled solutions Speech recognition Speech synthesis Exercise - Explore an AI speech scenario Module assessment Summary Get started with speech in AzureLearn how to recognize and synthesize speech by using Azure Speech. Introduction Understand speech recognition and synthesis Get started with speech on Azure Use Azure Speech Exercise - Explore Speech in Microsoft Foundry portal Module assessment Summary Introduction to computer vision conceptsIntroduction to computer vision concepts Introduction 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 Module assessment Summary Get started with computer vision in AzureAzure Vision service enables software engineers to create intelligent solutions that extract information from images; a common task in many artificial intelligence (AI) scenarios. 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 portal Module assessment Summary Introduction to AI-powered information extraction conceptsIntroduction to AI-powered information extraction 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 Exercise - Explore an AI information extraction scenario Module assessment Summary Get started with AI-powered information extraction in AzureAI gives you the power to unlock insights from your data. In this module, you'll learn how to use Azure AI services to extract information from content. 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 Summary