This course is intended for software developers wanting to build AI infused applications that extract information in Azure, including Azure AI Content Understanding and Azure AI Document Intelligence. 

Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.

Computer vision is an area of artificial intelligence that deals with visual perception. Azure AI Vision includes multiple services that support common computer vision scenarios.

Generative Artificial Intelligence (AI) is becoming more accessible through easy-to-use platforms like Azure AI Studio. Learn how to build generative AI applications like custom copilots that use language models and prompt flow to provide value to your users.

In this learning path, business leaders will find the knowledge and resources to adopt AI in their organizations. It explores planning, strategizing, and scaling AI projects in a responsible way.

This learning path explores how the Azure AI and Azure Machine Learning Services integrations provided by the Azure AI extension for Azure Database for PostgreSQL – Flexible Server can enable you to build AI-powered apps.

Do you have information locked up in structured and unstructured data sources? Using Azure AI Search, you can extract key insights from this data, and enable applications to search and analyze them.

Get more done and unleash your creativity with Microsoft Copilot. In this learning path, you’ll explore how to use Microsoft Copilot to help you research, find information, and generate effective content.

Artificial intelligence (AI) and machine learning (ML) have become an essential part of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, follow a methodical workflow to develop sound solutions, use open source, off-the-shelf tools to develop, test, and deploy those solutions, and ensure that they protect the privacy of users. This course includes hands on activities for each topic area.

Artificial Intelligence (AI) has evolved considerably over the years. As a modern day professional, it is important for you to understand how to leverage this emerging tool to augment and assist you with your work. The evolution of AI highlights the transition from simple automation to sophisticated, adaptive systems that can perform complex tasks and make autonomous decisions. Collectively, these elements underscore the transformative potential of AI in revolutionizing industries, enhancing human capabilities, and driving technological progress.

This course utilizes a learning progression model to help you learn and build skills related to the course objectives, daily technology interactions, and career skills needed across a variety of fields. This learning methodology uses a series of steps to contextualize what you’re learning, elaborate on areas where additional instruction is needed, and provide relevance through practice and personalized feedback. You’ll then apply what you learned and demonstrate the skills you’ve gained through a series of activities and quizzes.