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London, United Kingdom · Study online with LSBA

Aiプロジェクトの意思決定

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Overview

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Learning outcomes

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Course content

1

戦略評価ユニット

2

リスク分析ユニット

3

データ統合ユニット

4

モデル選定ユニット

5

実装ガバナンスユニット

Career Path

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Key facts

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Why this course

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Everything you need to know before you start

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Self-paced
Learn on your time
Certificate
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We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • 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
Ready when you are
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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 loved the casual vibe of the Aiプロジェクトの意思決定 class – it felt like a friendly workshop rather than a stiff lecture. The hands‑on labs taught me how to build a simple decision‑matrix for choosing between cloud‑based AI services, which I used in my startup to pick the right vendor in just a day. The video tutorials were clear and up‑to‑date, and the peer‑review assignments helped me see different business perspectives. I left the course feeling confident and ready to make smarter AI project choices.

MC
Michael Carter
US · Course completed

The professional structure of the Aiプロジェクトの意思決定 course at Stanmore School of Business perfectly aligned with my goal to lead AI initiatives in a corporate setting. The modules on Bayesian decision analysis gave me a concrete framework that I immediately applied to our predictive‑maintenance project, reducing decision latency by 30 %. The case‑study handbook was current, with real‑world Japanese and European examples that felt highly relevant. Overall, the course exceeded my expectations and equipped me with actionable tools for strategic AI governance.

ST
Satoshi Tanaka
JP · Course completed

What an enthusiastic learning experience! The Aiプロジェクトの意思決定 program sparked my passion for AI ethics and risk management. I especially appreciated the interactive simulation where we had to decide whether to launch a facial‑recognition feature under strict privacy constraints – it taught me how to balance innovation with compliance. The course materials, including the downloadable decision‑tree templates, were top‑notch and instantly usable. Thanks to Stanmore, I now lead AI project reviews at my company with confidence and excitement.

ZD
Zanele Dlamini
ZA · Course completed

The detailed approach of the Aiプロジェクトの意思決定 course gave me a deep understanding of data‑driven decision frameworks. I learned to conduct stakeholder impact analyses and to quantify uncertainty using Monte‑Carlo simulations – skills I applied to a national health‑AI pilot, improving our project approval rate by 15 %. The reading list featured recent African case studies, which made the content feel locally relevant. The instructor’s feedback was thorough, and I left the program with a solid toolkit for managing AI projects across the continent.





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May 2026