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شهادة دراسات عليا لإدارة مخاطر مشروع الذكاء الاصطناعي (متقدم) (Advanced)

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Overview

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Learning outcomes

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Course content

1

مبادئ إدارة المخاطر

2

تحليل مخاطر الذكاء الاصطناعي

3

نمذجة المخاطر

4

استراتيجيات التخفيف

5

حوكمة البيانات

6

الأمان السيبراني

7

تقييم الأخلاقيات

8

إدارة التغيير

9

تقنيات التعلم الآلي

10

إدارة المشروعات المتكاملة

11

تحليل السيناريوهات

12

إدارة المخاطر المالية

13

إدارة المخاطر القانونية

14

إدارة المخاطر التشغيلية

15

إدارة المخاطر التقنية

16

التقارير والاتصال

17

إدارة الموردين

18

التقييم المستمر

19

التحقق من الامتثال

20

مشروع التخرج

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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
  • 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 really enjoyed the blend of theory and hands‑on activities in this course. The real‑world case study on autonomous vehicles helped me see how to translate risk‑identification techniques into a practical risk register. I walked away with a solid grasp of the AI ethics framework and could immediately apply the stakeholder‑communication checklist to a project at my start‑up, improving our client briefing process. The reading packs were concise and the video lectures were spot‑on. All in all, a very useful programme that hit the mark on my learning objectives.

MC
Michael Carter
US · Course completed

The postgraduate certificate in Advanced AI Project Risk Management from Stanmore School of Business was exactly what I needed to meet my professional development goals. The curriculum’s focus on quantitative risk‑scoring models allowed me to construct a risk matrix for my company’s new AI‑driven analytics platform, which identified three high‑impact risks that we subsequently mitigated, cutting projected loss exposure by 30%. The course materials—especially the downloadable Excel templates and the video walkthrough of Monte‑Carlo simulations—were clear, up‑to‑date, and directly applicable. Overall, the learning experience was rigorous yet well‑structured, and I feel fully equipped to lead AI risk initiatives in my organization.

AP
Ananya Patel
IN · Course completed

Wow! This course was a game‑changer for me. The detailed modules on AI‑driven risk analysis gave me the confidence to build my own risk register from scratch, using the exact templates provided. I especially loved the interactive simulation where we ran a Monte‑Carlo analysis on a predictive‑maintenance AI model – it made the numbers come alive! The course material was fresh, with plenty of Arabic and English resources, and the instructor’s feedback was super encouraging. I’m now leading AI risk workshops at my firm and can already see better project outcomes.

HR
Hassan Rahman
AE · Course completed

The course offered a highly detailed and systematic approach to managing risks in advanced AI projects. I appreciated the in‑depth coverage of regulatory compliance, especially the sections on GDPR and UAE data‑protection laws, which I was able to incorporate into my company’s AI governance framework. The practical labs on building a Bayesian risk model and the accompanying MATLAB scripts were invaluable – I used them to assess the reliability of a computer‑vision system we are deploying in smart‑city initiatives. While the workload was intensive, the quality of the lecture notes, case files, and peer discussion forums made the experience rewarding and directly relevant to my role as a risk analyst.





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May 2026