Azure OpenAI Unveiled: Journey into the Depths of the Semantic Kernel

Artificial intelligence is rapidly transforming not only the technology industry but also society. Azure and .NET have already proven themselves as leading cloud, AI, and IoT development platforms. With the new Semantic Kernel and Azure OpenAI, entirely new types of intelligent applications can now be implemented.

In this demo-powered session, you will explore how .NET and other developers can leverage the Microsoft Semantic Kernel to harness Azure OpenAI and create applications that cannot be realized through conventional development methods. We will commence with an overview of Azure’s OpenAI capabilities and how they can be utilized with any programming language, not just .NET. Following that, we will dive into the Semantic Kernel and showcase how intelligent applications can be crafted.This session is designed for software architects, developers, and all other software engineers interested in creating applications with Large Language Models.

Features Speaker

Damir Dobric wears many hats! He’s the CEO and Lead Architect at DAENET GmbH – ACP Digital, a top-notch Microsoft Gold Certified Partner known for rocking Cloud Computing, IoT, and Machine Learning.Apart from that, Damir is a tech superhero—literally! He’s a Microsoft Most Valuable Professional (MVP) and part of the cool squad called Microsoft Regional Directors. These folks are like the Avengers of the tech world, sharing wisdom and support in various Microsoft technologies.

But wait, there’s more! Damir also shares his brainpower as a professor at Frankfurt University, teaching Software Engineering and Cloud Computing. With a PhD in Computational Intelligence from the University of Plymouth, UK, he’s not just a tech whiz but an academic rockstar too!In a nutshell, Damir is the go-to guy for tech excellence, both in the business world and the classroom. His passion for innovation and all things Microsoft makes him a real force to be reckoned with! 🚀

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Azure OpenAI Unveiled: Journey into the Depths of the Semantic Kernel

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