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発見し、つながり、成長する

Microsoft Reactor

Microsoft Reactor に参加し、スタートアップ企業や開発者とライブで関わる

AI を始める準備はできていますか?  Microsoft Reactor は、スタートアップ企業、起業家、開発者が AI テクノロジの上に次のビジネスを構築するのに役立つイベント、トレーニング、コミュニティ リソースを提供します。 ご参加ください。

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Build Skills: Take Your First Steps with C#

29 4月, 2022 | 12:00 午前 - 1:30 午前 (UTC) 協定世界時

  • 形式:
  • alt##Livestreamライブストリーム

トピック: コーディング、言語、フレームワーク (GitHub と AI コーディングを含む)

言語: 英語

The C# programming language offers great productivity, versatility, and is the most powerful programming language for the .NET Framework. If you are interested in becoming a C# programmer, this workshop is a great first step. You’ll start learning the basics of the syntax by writing your first C# code. You’ll then explore how to store and retrieve data in applications and how to perform basic data formatting. You will leave this workshop with an increased knowledge about programming in C# and resources to help you continue your journey

Who is this workshop aimed at?

  • Upskilling professionals and students interested in building core, high-demand technical skills.
  • Teachers, CS faculty, STEM volunteers, and Microsoft Learn Student Ambassadors whom would like to share or teach this workshop on-campus and online.

More learning / prerequisites:
Take Your First Steps with C# Learn Module: https://aka.ms/BuildSkills/FirstStepswC04.28-Learn

About the series
Introducing Build Skills, the new Microsoft Reactor series to help you learn valuable tech skills and discover new career paths. This series of livestream workshops (and available on-demand after) covers foundational skills in coding, data science, web development, devops, and so much more. Taught by Microsoft engineers, students, and community leaders, this is the place to learn by doing, follow at your own pace in a fun and relaxed atmosphere, and get your questions answered. Join us today and get the skills you need today for the job roles of tomorrow!

Useful event resources:
https://aka.ms/BuildSkills/FirstStepswC04.28-Learn

About the speaker
Ron Sumida
Ron Sumida received his PhD in Computer Science from UCLA, where he conducted research on applying neural networks to problems in Artificial Intelligence. Ron was a Teaching Associate at the UCLA Computer Science Department, where he presented weekly lectures on LISP, MS-DOS, Artificial Intelligence, and Natural Language Processing, and provided students with assistance on programming projects. His dissertation involved building a neural network-based system for understanding natural language texts. Today Ron works for Atmosera and delivers cutting-edge technical training at companies, universities, and research institutions worldwide.

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