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予測 AI と生成 AI の両方におけるモデル評価のニュアンスを理解し、MLOps ライフサイクル内での重要な役割を認識する。
さまざまな生成 AI タスクに適切な評価指標を特定して適用する。
コンピューティング ベースとモデルベースの両方の方法を含む、Vertex AI の多様な評価サービスを使用して、生成 AI を効率的に評価する。
LLM 評価のベスト プラクティスを実装して、本番環境での堅牢で信頼性の高いモデルのデプロイを保証する。
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January 2025
2 assignments
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このコースでは、ML の実務担当者に、生成 AI モデルと予測 AI モデルの両方を評価するための重要なツール、手法、ベスト プラクティスを身につけていただきます。モデル評価は、ML システムが本番環境で信頼性が高く、正確で、高性能な結果を確実に提供するための重要な分野です。
参加者は、さまざまな評価指標、方法論のほか、さまざまなモデルタイプやタスクにおけるそれらの適切な適用について理解を深めます。このコースでは、生成 AI モデルによってもたらされる固有の課題に重点を置き、それらの課題に効果的に取り組むための戦略を提供します。参加者は、Google Cloud の Vertex AI プラットフォームを活用して、モデルの選択、最適化、継続的なモニタリングのための堅牢な評価プロセスを実装する方法を学びます。
このモジュールでは、コースの目的を説明し、コース構造の概要を示します。
このモジュールでは、モデル評価における課題と Vertex AI によるソリューションの提供について説明します。
3 videos1 reading1 assignment
このモジュールでは、生成 AI タスクを評価する際の課題と、これらの課題を克服するためのベスト プラクティスについて説明します。また、Vertex AI で利用できるさまざまな種類のモデル評価サービスについても説明し、Vertex AI の Automatic Metrics、Automatic side-by-side、Safety Bias 評価サービスを紹介します。
7 videos1 reading1 assignment
このモジュールでは、最も重要なコンセプト、ツール、テクノロジー、プロダクトについて取り上げ、コース全体の概要を説明します。
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Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
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