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London, United Kingdom · Study online with LSBA

人工智能项目治理

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Overview

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Learning outcomes

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Course content

1

项目治理委员会

2

风险评估小组

3

伦理审查组

4

数据合规部

5

技术监督中心

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

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60 sec
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Course access
Self-paced
Learn on your time
Certificate
Included in fee

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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Self-paced · Certificate included · 24/7 access · 60-second start.
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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
Open enrolment · Start today

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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 the '人工智能项目治理' course because I wanted to understand how AI projects are managed in real life. The course was surprisingly practical – the week on data governance gave me a handy checklist that I’ve already used to clean up our data pipelines. The videos were clear and the instructor shared real‑world examples from fintech and healthcare, which made the material feel relevant. While the pacing was a bit fast at times, I left feeling confident that I can now set up governance structures for my upcoming AI product launch.

MC
Michael Carter
US · Course completed

The '人工智能项目治理' course at Stanmore School of Business exceeded my expectations. It directly aligned with my goal to lead AI initiatives within my company, and the modules on risk assessment and stakeholder alignment gave me a clear framework to implement. I especially appreciated the case study on deploying an AI‑driven credit scoring system, which taught me how to set up governance checkpoints and monitor model bias. The lecture slides and supplemental readings were concise, up‑to‑date, and referenced industry standards like ISO/IEC 38507. Overall, the learning experience was smooth, interactive, and highly relevant to my role as a project manager.

AP
Ananya Patel
IN · Course completed

Wow! The '人工智能项目治理' program was exactly what I needed to boost my career in AI strategy. The hands‑on workshop where we built a governance board for an autonomous vehicle project was thrilling – I learned to draft ethical guidelines, define KPI dashboards, and negotiate responsibilities with tech and legal teams. The course materials, especially the interactive templates, are top‑notch and saved me hours of work. I’m now confidently presenting AI governance proposals to senior leadership, and I can’t thank Stanmore School of Business enough for this transformative experience.

ZD
Zanele Dlamini
ZA · Course completed

The '人工智能项目治理' course offered a detailed, step‑by‑step approach to managing AI projects from inception to deployment. I was particularly impressed by the module on ethical risk mitigation, which included a thorough walkthrough of bias detection techniques using Python notebooks. The reading list featured recent papers from the Journal of AI Ethics, ensuring the content was current. Although some of the group discussions felt a bit rushed, the overall structure helped me develop a comprehensive AI governance framework that I have already piloted in a pilot project at my firm.





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Recently updated!

May 2026