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London, United Kingdom · Study online with LSBA

人工知能プロジェクトのリスク管理大学院修了証(上級) (Advanced)

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Overview

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Learning outcomes

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Course content

1

リスク評価の基礎

2

Aiシステムの脅威モデリング

3

データプライバシーとコンプライアンス

4

安全性設計パターン

5

不確実性分析手法

6

倫理的aiガバナンス

7

プロジェクトスケジュールリスク管理

8

ステークホルダーリスクコミュニケーション

9

Aiアルゴリズムの透明性評価

10

サイバーセキュリティ対策

11

Ai運用リスクモニタリング

12

法規制と標準化

13

リスク緩和策の実装

14

システム障害復旧計画

15

Aiモデルのバイアス検出

16

予測分析とリスク予測

17

財務リスク評価

18

組織文化とリスク受容性

19

継続的改善と学習

20

最終プロジェクトレビュー

Career Path

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Key facts

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Why this course

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  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

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 Kingdom
ST
Sarah Thompson
GB · Course completed

I took this course to boost my consulting chops, and it delivered. The lectures on regulatory compliance for AI were clear and up‑to‑date with the latest EU guidelines. I walked away with practical skills like building a risk‑heat map for machine‑learning pipelines – something I’ve already applied for a client in the health sector. The course material is well‑structured, though I think a few more interactive labs would have been nice. Still, the overall experience was solid and helped me meet my professional development targets.

MC
Michael Carter
US · Course completed

The Advanced AI Project Risk Management program exceeded my expectations. The curriculum directly aligned with my goal of leading AI‑driven initiatives at my fintech firm. I especially valued the module on probabilistic risk modeling, which gave me a ready‑to‑use framework for quantifying data‑bias risk. The case studies drawn from real‑world AI deployments were spot‑on, and the downloadable templates for risk registers saved me weeks of work. Overall, the blend of rigorous theory and actionable tools made the learning experience both challenging and highly rewarding.

HT
Haruki Tanaka
JP · Course completed

この上級コースは、AIプロジェクトのリスク管理に関する知識を飛躍的に高めてくれました。特に、リスク評価の数値化手法と、AI倫理チェックリストの作成方法は、すぐに自社の開発プロセスに組み込めました。教材は最新の研究論文と実務事例がバランス良く配され、理解しやすいスライドと動画が印象的です。受講後、上司からリスクマネジメント計画の提案を求められ、実績として評価されました。大変満足しています。

ZD
Zanele Dlamini
ZA · Course completed

I enrolled to strengthen my ability to oversee AI projects in the mining sector. The course gave me a detailed toolkit for spotting data‑quality issues and for drafting mitigation strategies that meet South African data protection standards. I particularly liked the hands‑on simulation where we ran a risk assessment on a predictive maintenance model – it felt like real work. The reading list was comprehensive, though a few more local case studies would have been helpful. All in all, the program was engaging and directly boosted my confidence in managing AI risks.





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May 2026