Develop AI solutions in Azure
2025-09-22T07:00:00.0000000Z;2025-09-26T14:00:00.0000000Z
2025-11-17T08:00:00.0000000Z;2025-11-21T15:00:00.0000000Z
Status: Unconfirmed
5 days (45 teaching hours)
Intermediate
Course ID: AI102
Price: 1.350,00 € (VAT not included)
Lecturers
About the course
AI-102: Develop AI solutions in Azure is intended for software developers wanting to build AI infused applications that leverage Azure AI Foundry and other Azure AI services. Topics in this course include developing generative AI apps, building AI agents, and solutions that implement computer vision and information extraction. The course will use C# or Python as the programming language.
Audience Profile
This course was designed for software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Foundry and other Azure AI services. They are familiar with C# or Python and have knowledge on using REST-based APIs and SDKs to build generative AI, computer vision, language analysis, and information extraction solutions on Azure.
Course Syllabus
- Data capture
- Business process automation
- Meeting summarization and analysis
- Digital asset management (DAM)
- Knowledge Mining
- Exam: AI-102: Designing and Implementing a Microsoft Azure AI Solution for the
- Certification: Microsoft Certified: Azure AI Engineer Associate
- Knowledge of Microsoft Azure and ability to navigate the Azure portal.
- Knowledge of either C#, Python, or JavaScript.
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:
Certification
This training prepares you for:
*Certificiranje ni vključeno v ceno
Prerequisites
Before attending this course, students must have:
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