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Aiプロジェクト品質保証

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Overview

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Learning outcomes

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Course content

1

品質計画部

2

テスト設計部

3

自動化検証部

4

リスク管理部

5

パフォーマンス評価部

Career Path

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Key facts

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Why this course

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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
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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 after hearing about it from a colleague, and it turned out to be a solid boost for my data‑science career. The content is spot‑on – especially the chapters on bias detection and model monitoring. I liked the casual tone of the instructor videos and the real‑world case studies from Japanese firms, which felt surprisingly relevant here in the UK. The only thing I’d improve is a bit more depth on automated testing tools, but the practical exercises (like building a CI/CD pipeline for model validation) were invaluable. All in all, a very worthwhile investment.

MC
Michael Carter
US · Course completed

The Aiプロジェクト品質保証 course exceeded my expectations. The modules on risk‑based testing and AI model validation gave me a concrete framework that I immediately applied to a pilot project at my fintech startup. I especially appreciated the downloadable templates for test plans and the step‑by‑step video walkthroughs, which made it easy to align our QA processes with industry standards. Thanks to the hands‑on labs, I can now confidently draft a quality‑assurance checklist for any AI initiative, and the certification has already opened doors for a promotion. Overall, a professional, well‑structured learning experience.

HT
Haruka Tanaka
JP · Course completed

このコースは、AIプロジェクトの品質保証に関する知識を体系的に学べる最高の機会でした。特に、品質指標の設定方法や、統計的プロセス管理(SPC)を活用したモデル性能の継続的監視の章が役立ちました。実践的な演習で、JIRA と GitHub Actions を組み合わせたテスト自動化パイプラインを構築でき、すぐに社内プロジェクトに導入できました。教材は日本語字幕付きで分かりやすく、実務に直結する内容が豊富です。受講後、上司からプロジェクトの品質計画を任され、期待以上の成果を上げられたことに大満足です。

ZD
Zanele Dlamini
ZA · Course completed

I enrolled in the Aiプロジェクト品質保証 course to upskill my team at a South African health‑tech company. The detailed modules on data governance and ethical AI testing were eye‑opening. I especially liked the downloadable checklists that we could adapt to our local regulatory environment. The instructor’s thorough explanations helped me teach the concepts to my junior analysts, and we’ve already reduced model‑drift incidents by 30% after applying the monitoring techniques taught. A more extensive forum for peer interaction would be nice, but the overall learning experience was highly beneficial.





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Recently updated!

May 2026