「生成 AI: 基本概念の理解」は、生成 AI リーダー学習プログラムの 2 つ目のコースです。このコースでは、AI、ML、生成 AI の違いを探り、さまざまなデータタイプが生成 AI によるビジネス課題への対処を可能にする仕組みを理解することで、生成 AI の基本概念を習得します。また、基盤モデルの限界に対処するための Google Cloud の戦略、および責任ある安全な AI の開発と導入における重要な課題に関するインサイトも得られます。
生成 AI: 基本概念の理解
生成 AI: 基本概念の理解
This course is part of Generative AI Leader 学習プログラム Specialization
Instructor: Google Cloud Training
Included with
Gain insight into a topic and learn the fundamentals.
Beginner level
No prior experience required
3 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
生成 AI の基本概念を定義および説明する。
さまざまなデータタイプが生成 AI でどのように使用されるか、また、どのようにしてビジネス上の問題を解決し、イノベーションを推進し、競争優位性を獲得できるかを説明する。
生成 AI における基盤モデルの役割、機能、限界について説明する。
Google Cloud が推奨する LLM の限界に対処するための戦略を説明する。
Skills you'll gain
Tools you'll learn
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
3 assignments
Taught in Japanese
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This course is part of the Generative AI Leader 学習プログラム Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course
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