MVP’s Favorite Content: GenAI, D365, Semantic Kernel, Learn

This post has been republished via RSS; it originally appeared at: Microsoft Tech Community - Latest Blogs - .

In this blog series dedicated to Microsoft's technical articles, we'll highlight our MVPs' favorite article along with their personal insights.

 

Yoshitaka Seo, AI MVP, Japan

Yoshitaka Seo.jpg

Course AI-050T00--A: Develop Generative AI Solutions with Azure OpenAI Service - Training | Microsoft Learn

“This is a collection about the Azure OpenAI Service. You can learn in sequence about how to use the playground, prompt engineering, how to integrate OpenAI into applications with C# or Python, and generating images and code. Please learn everything from the basics to practical content of OpenAI through explanations and exercises in each module.”

(In Japanese: Azure OpenAI Serviceについてのコレクションです。プレイグラウンドの使い方、プロンプトエンジニアリング、C#PythonOpenAIをアプリケーションに統合する方法、画像やコードの生成を順に学べます。それぞれのモジュールの解説と演習とを通してOpenAIの基本から実用的な内容まで学習してください。)

*Relevant Activity: ChatGPTからCopilotまで最新のAIを語ろう - Global AI Bootcamp - connpass

 

Parag Chapre, Business Applications MVP, Australia

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Set up the components of a job - Human Resources | Dynamics 365 | Microsoft Learn

“I highly recommend exploring the content on "Generating Job Descriptions Using AI in Dynamics 365 Human Resources" for several compelling reasons. Firstly, in today's fast-paced business landscape, efficiency is paramount. With AI-driven solutions embedded in Dynamics 365 Human Resources, the process of crafting job descriptions is streamlined, saving valuable time and resources for HR professionals. Secondly, the use of AI ensures accuracy and consistency in job descriptions, minimizing errors and discrepancies that may arise from manual input.

 

Moreover, leveraging AI technology enables organizations to create tailored job descriptions that align with evolving industry trends and organizational needs, ultimately attracting top talent and enhancing recruitment outcomes. Additionally, by automating the job description generation process, HR teams can focus their efforts on more strategic initiatives, such as talent development and retention.

 

Furthermore, the integration of AI in Dynamics 365 Human Resources empowers HR professionals with valuable insights derived from data analytics, enabling them to make data-driven decisions and optimize workforce planning. Overall, exploring this content provides valuable insights into leveraging AI technology to revolutionize the job description creation process, ultimately driving efficiency, accuracy, and strategic HR outcomes within organizations."

*Relevant Blog: Generating Job Descriptions Using AI in Dynamics 365 Human Resources - Parag Chapre

 

Tomomitsu Kusaba, Developer Technologies MVP, Japan

Tomomitsu Kusaba.jpg

semantic-kernel/dotnet/notebooks at main · microsoft/semantic-kernel (github.com)

“To start with Semantic Kernel, I recommend starting with this content. By learning this content thoroughly, you can grasp an overview of Semantic Kernel.”

(In Japanese: Semantic Kernelを始めるにあたってまずはおすすめのコンテンツ。これを一通り学習することによってSemantic Kernelの概要をつかむことができます。)

 

Sergio Parra Guerra, Microsoft Azure MVP, Spain

Sergio Parra Guerra.jpg

Training | Microsoft Learn

“All training in Microsoft products and certifications is essential to stay up to date with the latest technologies. Always learning!”

(In Spanish: Toda la formación en productos Microsoft y Certificaciones, esencial para estar siempre reciclado en las últimas tecnologías. Always learning!)

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