Document processing is a common task in many business scenarios. Organizations can use Azure AI Document Intelligence to automate data extraction across document types, such as receipts, invoices, and more.

In this module, you learn the fundamentals of how Azure AI services can be used to build applications.

Learn how to recognize and synthesize speech by using Azure AI Speech.

Get to know the connection between artificial intelligence (AI), Responsible AI, and text, code, and image generation. Understand how you can use Azure OpenAI to build solutions against AI models within Azure.

Azure AI Vision service enables software engineers to create intelligent solutions that extract information from images; a common task in many artificial intelligence (AI) scenarios.

In this module, we introduce you to conversational language understanding, and show how to create applications that understand language with Azure AI Language.

Face detection and analysis are important capabilities for artificial intelligence (AI) solutions. Azure AI Face service makes it easy integrate these capabilities into your applications.

In this module, you explore the way in which language models enable AI applications and services to generate original content based on natural language input. You also learn how generative AI enables the creation of copilots that can assist humans in creative tasks.

Automated translation capabilities in an AI solution enable closer collaboration by removing language barriers.

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.

The course will help you understand machine learning fundamentals by diving into theoretical concepts and algorithms of machine learning.

A beginner-friendly introduction to machine learning concepts using Python, covering fundamental algorithms, techniques, and practical applications.