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Building Generative AI apps with .NET and Semantic Kernel

Ryan Niño Dizon

from Consultant (Germany)

About speaker

Software Architect | Microsoft MVP - Azure/Cloud Native | Conference Speaker | Community Leader | Lifelong Learner

Microsoft MVP (verified)
I am always passionate to transform complex challenges into elegant software solutions.

About speakers company

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Abstracts

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In this technical session, participants will learn to build Generative AI applications using .NET and Semantic Kernel. The session will cover the key capabilities of Semantic Kernel and its integration with .NET to create advanced AI solutions. Attendees will gain hands-on experience and practical insights into leveraging these technologies effectively, empowering them to implement innovative AI features in their projects.

Semantic Kernel is a lightweight, open-source development kit that lets you easily build AI agents and integrate the latest AI models into your C#, Python, or Java codebase. It serves as an efficient middleware that enables rapid delivery of enterprise-grade solutions.


In this technical session, participants will learn to build Generative AI applications using .NET and Semantic Kernel. The session will cover the key capabilities of Semantic Kernel and its integration with .NET to create advanced AI solutions. Attendees will gain hands-on experience and practical insights into leveraging these technologies effectively, empowering them to implement innovative AI features in their projects.

Semantic Kernel is a lightweight, open-source development kit that lets you easily build AI agents and integrate the latest AI models into your C#, Python, or Java codebase. It serves as an efficient middleware that enables rapid delivery of enterprise-grade solutions.

The talk was declined