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شهادة تنفيذية في إدارة برامج الذكاء الاصطناعي (متقدم) (Advanced)

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Overview

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Learning outcomes

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Course content

1

إدارة استراتيجية الذكاء الاصطناعي

2

تحليل متطلبات الأعمال للذكاء الاصطناعي

3

تصميم نماذج التعلم العميق المتقدمة

4

إدارة البيانات الضخمة للذكاء الاصطناعي

5

أخلاقيات الذكاء الاصطناعي وحكمته

6

حكم المشاريع التقنية للذكاء الاصطناعي

7

تقييم مخاطر الذكاء الاصطناعي

8

تحسين الأداء من خلال الذكاء الاصطناعي

9

تقنيات الحوسبة السحابية للذكاء الاصطناعي

10

إدارة فرق التطوير المتعددة التخصصات

11

تطبيقات الذكاء الاصطناعي في الصناعات

12

تحليل تكلفة الفائدة للذكاء الاصطناعي

13

إدارة دورة حياة النماذج

14

التحكم في الجودة للأنظمة الذكية

15

التكامل بين الأنظمة القائمة والذكاء الاصطناعي

16

تخطيط الموارد للذكاء الاصطناعي

17

استراتيجيات الابتكار المستدام بالذكاء الاصطناعي

18

إدارة التغيير في التحول الرقمي

19

تقييم الأثر التنظيمي للذكاء الاصطناعي

20

تطوير سياسات حوكمة الذكاء الاصطناعي

Career Path

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Why this course

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Assessment is done through:

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Why people choose us for their career

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Verified outcomes from learners who finished the course and put it to work.

4.5
Based on 4 learner reviews · 4 countries
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2026
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Completed from United Kingdom
ST
Sarah Thompson
GB · Course completed

I signed up for the AI programme because I wanted to move from a data‑analyst role into AI project management. The course was spot‑on – the week on AI product lifecycle gave me a clear roadmap, and the practical exercises on creating sprint backlogs for AI features were brilliant. I now know how to write effective AI‑project charters and I’ve already used the templates to pitch a predictive‑maintenance project at my firm. The video lectures were clear and the reading packs were concise, though a few could have used more depth. All in all, a solid, useful course that helped me hit my career target.

MC
Michael Carter
US · Course completed

The Executive Certificate in Advanced AI Program Management exceeded my expectations. The curriculum was perfectly aligned with my goal of leading AI‑driven projects, and the modules on AI governance and risk assessment gave me a solid framework to present to senior leadership. I especially appreciated the hands‑on labs where we built an end‑to‑end machine‑learning pipeline using Azure ML; I was able to replicate that workflow at my company within two weeks, reducing model deployment time by 30%. The course materials were up‑to‑date, with real‑world case studies from Fortune 500 firms. Overall, the learning experience was rigorous yet supportive, and I feel fully equipped to drive AI initiatives across the organization.

AP
Ananya Patel
IN · Course completed

Wow! This course was exactly what I needed to boost my AI expertise. The blend of theory and real‑world labs made every session exciting. I loved the module on ethical AI – it gave me actionable checklists that I’ve already implemented in my startup’s chatbot project. The hands‑on session with TensorFlow and PyTorch helped me build a prototype image‑classification model in just a weekend, which we now use for quality control. The instructors were responsive, and the community forum was buzzing with useful tips. I finished the program feeling confident and truly ready to lead AI programmes.

ZD
Zanele Dlamini
ZA · Course completed

The Executive Certificate in AI Program Management offered a comprehensive view of how to plan, execute, and monitor AI initiatives. The detailed breakdown of AI project phases—especially the risk‑mitigation worksheet—allowed me to map my university’s research project onto a professional framework. I gained practical skills such as drafting AI project budgets, selecting appropriate cloud services, and creating stakeholder communication plans. The course pack included up‑to‑date whitepapers and case studies from both startups and large enterprises, which added credibility. While the pacing was intense, the support from the teaching assistants was excellent, and I left the course with a clear, actionable roadmap for my next AI deployment.





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May 2026