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Débute 4 June 2026 03:28

Se termine 4 June 2026

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Semantic Kernel SDK for Intelligent Applications

Déverrouillez tout le potentiel des solutions métiers pilotées par l'IA avec le Kit de développement Semantic Kernel. Ce cours complet vous dote des compétences nécessaires pour intégrer des modèles de langage de grande taille (LLMs) et l'IA générative à vos applications à l'aide du puissant Semantic Kernel de Microsoft. Que vous visiez à c.
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Aperçu

Unlock the full potential of AI-driven business solutions with the Semantic Kernel SDK. This comprehensive course equips you with the skills to integrate Large Language Models (LLMs) and generative AI into your applications using Microsoft’s powerful Semantic Kernel.

Whether you're aiming to create intelligent agents or build advanced chat applications, this course guides you through the process of designing and deploying tailored plugins for business solutions.

Begin with foundational concepts, from understanding LLMs and generative AI to grasping the pivotal role of Semantic Kernel in shaping modern applications. Establish your development environment effortlessly with Visual Studio, VS Code, and Azure, paving the way for immersive, hands-on development.

Dive into the creation of your own Semantic Kernel, where you’ll not only build AI-powered chat applications but also configure Azure OpenAI resources effectively.

In the latter part of the course, focus intensively on extending the Semantic Kernel’s functionality with both built-in and custom plugins. Learn to design career advisor tools, incorporate personas, and master the art of managing prompts for optimized interactions.

Add a new dimension to your applications by understanding and automating native functions, enhancing interactions with seamless function-prompt combinations.

This course is perfectly suited for developers, software engineers, and tech-savvy business professionals looking to harness the power of AI in application development. A fundamental grasp of programming and familiarity with development environments such as Visual Studio or Azure is recommended.


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