Course Syllabus

Develop generative AI apps in Azure
Generative Artificial Intelligence (AI) is becoming more accessible through comprehensive development platforms like Azure AI Foundry. Learn how to build generative AI applications that use language models to chat with your users.

Develop AI agents on Azure
Generative Artificial Intelligence (AI) is becoming more functional and accessible, and AI agents are a key component of this evolution. This learning path will help you understand the AI agents, including when to use them and how to build them, using Azure AI Foundry Agent Service and Semantic Kernel Agent Framework. By the end of this learning path, you will have the skills needed to develop AI agents on Azure.

Develop natural language solutions in Azure
Natural language solutions use language models to interpret the semantic meaning of written or spoken language, and in some cases respond based on that meaning. You can use the Language service to build language models for your applications, and explore Azure AI Foundry to use generative models for speech.

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

Develop AI information extraction solutions in Azure
Use Azure AI to extract information from content to support scenarios like:

• Data capture
• Business process automation
• Meeting summarization and analysis
• Digital asset management (DAM)
• Knowledge Mining

Certification

This training prepares you for:

• Exam: AI-102: Designing and Implementing a Microsoft Azure AI Solution for the
• Certification: Microsoft Certified: Azure AI Engineer Associate

*Certificiranje ni vključeno v ceno

Prerequisites

Before attending this course, students must have:

• Knowledge of Microsoft Azure and ability to navigate the Azure portal.
• Knowledge of either C#, Python, or JavaScript.