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Aiプロジェクトのガバナンスに関するエグゼクティブ開発プログラム(上級) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Aiガバナンス戦略設計

2

法規制遵守と倫理フレームワーク

3

リスク評価と管理手法

4

データプライバシーとセキュリティ

5

ステークホルダーエンゲージメント

6

アルゴリズム透明性と説明責任

7

モデルライフサイクル管理

8

Ai投資評価とroi測定

9

組織文化と変革リーダーシップ

10

国際標準とベストプラクティス

11

監査とコンプライアンス体制

12

Ai倫理委員会の設立と運営

13

サプライチェーンにおけるaiリスク

14

人材育成とスキルマッピング

15

ガバナンスツールとテクノロジー活用

16

法的責任と訴訟リスク管理

17

公共政策とai規制動向

18

Aiプロジェクトポートフォリオ最適化

19

透明性レポーティングと開示基準

20

持続可能性とaiの社会的影響

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
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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
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  • Basic computer skills
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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 Kingdom
ST
Sarah Thompson
GB · Course completed

I signed up for this course hoping to get a clearer picture of how AI projects should be run at board level, and it delivered. The sessions were laid‑back but packed with useful tips – like the simple RACI matrix for AI governance that I’ve already introduced to my team. The video lectures were easy to follow and the supplementary slides were spot‑on, covering everything from data ethics to stakeholder communication. I especially liked the live workshop where we drafted a governance charter for a mock AI product. It felt like a relaxed, practical learning day, and I’m now more confident presenting AI risk reports to senior executives.

MC
Michael Carter
US · Course completed

The Executive Development Program on AI Project Governance exceeded my expectations. The curriculum directly aligned with my goal of establishing a robust AI oversight framework at my firm. I especially valued the module on risk‑based governance, which gave me a practical checklist for assessing model bias and compliance. The case studies from leading US tech companies were current and highly relevant, and the reading pack included concise, well‑illustrated policy templates that I could adapt immediately. Overall, the experience was professional and insightful, and I left with actionable governance structures that are already improving our project approvals.

KS
Kenji Sato
JP · Course completed

What a thrilling program! I was eager to learn how to steer AI initiatives responsibly, and the course gave me exactly that – plus a lot of inspiration. The segment on AI ethics frameworks was eye‑opening, and I walked away with a ready‑to‑use checklist for evaluating model fairness that I’ve already applied to a predictive maintenance project. The course materials were vibrant, with real‑world examples from both Japanese and global firms, which made the concepts feel instantly applicable. The instructors’ enthusiasm was contagious, and I left feeling energized and fully equipped to champion AI governance at my company.

ZD
Zanele Dlamini
ZA · Course completed

The program was exceptionally detailed, covering every facet of AI project governance I needed to master. My learning goal was to build a comprehensive governance roadmap for our new AI analytics platform, and the course delivered a step‑by‑step guide, including a risk‑assessment matrix and a stakeholder‑engagement plan. The reading materials were thorough, with up‑to‑date research papers and industry reports that added depth to each lecture. I especially appreciated the deep‑dive session on regulatory compliance in Africa, which gave me concrete actions for aligning with local data protection laws. Overall, the experience was rigorous and highly valuable for my role as an AI governance lead.





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Recently updated!

May 2026