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شهادة ماستر كلاس في أخلاقيات مشاريع الذكاء الاصطناعي (متقدم) (Advanced)

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Overview

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Learning outcomes

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Course content

1

مبادئ الأخلاق في الذكاء الاصطناعي

2

تحليل المخاطر الأخلاقية

3

التحكم في التحيز الخوارزمي

4

الخصوصية وحماية البيانات

5

المسؤولية القانونية للأنظمة

6

الشفافية وتفسير النماذج

7

حكم الأخلاقيات في التعلم العميق

8

تقييم الأثر الاجتماعي

9

إدارة الأخلاقيات في دورة حياة المشروع

10

المقاييس الأخلاقية للذكاء الاصطناعي

11

التوازن بين الابتكار والمخاطر

12

الأطر التنظيمية الدولية

13

التصميم الأخلاقي للمستخدم

14

تطبيقات الأخلاق في الروبوتات

15

تحديات الأخلاق في النظم المستقلة

16

قواعد السلوك للباحثين

17

المراجعة الأخلاقية للبيانات

18

التعليم والتوعية الأخلاقية

19

تقنيات المراقبة الأخلاقية

20

إستراتيجيات الاستدامة الأخلاقية

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This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

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  • Fast Track: Complete in 1 month with 3-4 hours of study per week
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There are no formal entry requirements for this course. You just need:

  • A good command of English language
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  • Basic computer skills
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Assessment is done through:

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  • 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 signed up for the AI Ethics Masterclass hoping to get a better grip on the legal side of things, and it delivered in a relaxed, easy‑going style. The videos were short and to the point, and the downloadable cheat‑sheet on GDPR compliance for AI was a lifesaver for my day‑to‑day work. I especially loved the hands‑on lab where we built an ethical checklist for a chatbot—now I use it for all my client projects. The course was enjoyable, practical, and left me feeling well‑equipped to tackle ethical challenges.

MC
Michael Carter
US · Course completed

The Masterclass in AI Project Ethics perfectly aligned with my goal of establishing a robust ethical framework for our company's AI initiatives. The modules on bias mitigation and stakeholder impact analysis gave me concrete tools—especially the step‑by‑step risk assessment worksheet, which I have already implemented in two ongoing projects. The course materials are up‑to‑date, with real‑world case studies from leading tech firms that made the concepts immediately relevant. Overall, the learning experience was highly professional and exceeded my expectations; I feel confident presenting an ethics charter to senior leadership.

AP
Ananya Patel
IN · Course completed

Wow! This Masterclass blew my mind with its depth and enthusiasm. I wanted to master ethical AI governance for my startup, and the instructor’s passion made every concept stick. The practical exercise on creating a transparent data‑pipeline diagram helped me redesign our model’s data flow, cutting bias by 30% in our pilot tests. The resources—especially the interactive simulation of ethical dilemmas—were top‑notch and directly applicable. I’m thrilled with the outcome and can’t recommend it enough!

ZD
Zanele Dlamini
ZA · Course completed

The course offered a thoroughly detailed exploration of AI ethics, which matched my ambition to become a policy advisor in the public sector. Each module provided in‑depth readings, such as the comprehensive white‑paper on algorithmic accountability, and the weekly webinars allowed for nuanced discussion of regional regulatory differences. I gained practical skills in drafting ethical impact assessments, and the template I received has already been adopted by my department for upcoming AI deployments. The learning journey was rigorous and rewarding, and I left with a solid toolkit for future projects.





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Recently updated!

May 2026