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人工知能プロジェクトのスコープ定義プログラムにおけるマスタークラス認定(上級) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Aiプロジェクトスコープ概論

2

ステークホルダー分析と要件定義

3

リスク評価と管理戦略

4

データ戦略と品質基準

5

Ai倫理とガバナンス

6

技術選定とアーキテクチャ設計

7

予算策定とコスト管理

8

スケジュール作成とマイルストーン設定

9

チーム構築とリーダーシップ

10

コミュニケーション計画と報告

11

パフォーマンス指標と評価基準

12

法規制遵守とプライバシー保護

13

プロトタイピングと実証実験

14

スケールアップ戦略

15

ベンダー管理と契約交渉

16

変更管理と適応プロセス

17

品質保証とテスト戦略

18

デプロイメントと運用計画

19

継続的改善と学習ループ

20

プロジェクトクロージングと成果評価

Career Path

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Key facts

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Why this course

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This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

The Masterclass on defining AI project scope exceeded my expectations. The curriculum was tightly aligned with my goal of leading AI initiatives at my fintech firm. I especially appreciated the hands‑on module where we built a full project charter using the provided templates; it saved me weeks of drafting work. The case studies on data‑driven risk assessment gave me practical techniques I’ve already applied to a predictive‑analytics project, improving stakeholder buy‑in by 30%. All course materials were up‑to‑date, with clear video lectures and downloadable worksheets. Overall, the experience was professional, insightful, and directly applicable to my day‑to‑day responsibilities.

AS
Ana Silva
BR · Course completed

Adorei o curso! Eu queria entender como planejar projetos de IA de forma prática, e o conteúdo entregou exatamente isso. O módulo sobre definição de métricas de sucesso me ajudou a criar KPIs claros para o meu time de marketing, e já estamos testando um piloto com resultados visíveis. Os PDFs são bem organizados e as sessões ao vivo foram descontraídas, permitindo trocar ideias com colegas de outros países. Saí do curso confiante para montar o escopo do próximo projeto de chatbot da empresa.

FW
Felix Wagner
DE · Course completed

What an enthusiastic and energizing program! I signed up to master AI project scoping for my startup, and the course delivered with gusto. The interactive workshops on stakeholder mapping (using the RACI matrix) were eye‑openers – I could instantly reorganize my team's responsibilities. I also loved the real‑world example where we simulated an AI‑driven supply‑chain optimization, which gave me a ready‑to‑use template for my own project proposal. The materials were top‑notch, with up‑to‑date references and crisp slide decks. I left the Masterclass feeling fully equipped and excited to launch my next AI venture.

ZD
Zanele Dlamini
ZA · Course completed

The Masterclass provided a detailed roadmap for defining the scope of AI projects, which was exactly what I needed for my role as a data science manager at a telecom company. The course broke down complex concepts into step‑by‑step guides; for instance, the risk‑assessment worksheet helped me identify potential data‑privacy issues early on, allowing us to adjust our project plan before any compliance hurdles. The supplementary reading list included recent journal articles that kept the content relevant. Although the pacing was intensive, the depth of knowledge I gained—especially in crafting measurable deliverables—has already improved our project planning meetings.





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Recently updated!

May 2026