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

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Overview

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Learning outcomes

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Course content

1

مقدمة في إدارة برامج الذكاء الاصطناعي المتقدمة

2

تخطيط استراتيجية الذكاء الاصطناعي للمؤسسات

3

حوكمة وأخلاقيات الذكاء الاصطناعي

4

تحليل متطلبات الأعمال للذكاء الاصطناعي

5

تصميم نماذج الأعمال المدعومة بالذكاء الاصطناعي

6

إدارة المخاطر في مشاريع الذكاء الاصطناعي

7

اختيار التكنولوجيا والبنية التحتية للذكاء الاصطناعي

8

إدارة فرق التطوير المتعددة التخصصات

9

منهجيات تنفيذ المشاريع السريعة (Agile) للذكاء الاصطناعي

10

مراقبة الأداء وتحسين نماذج الذكاء الاصطناعي

11

إدارة البيانات وحكمتها للذكاء الاصطناعي

12

ضمان جودة البيانات وتدقيقها

13

تقييم عائد الاستثمار (Roi) لمبادرات الذكاء الاصطناعي

14

إدارة التغيير وتبني التقنية في المؤسسة

15

الامتثال التنظيمي والخصوصية في الذكاء الاصطناعي

16

بناء ثقافة الابتكار المستدام في الذكاء الاصطناعي

17

التواصل الفعال مع أصحاب المصلحة

18

إدارة الشراكات والتوريد في مشاريع الذكاء الاصطناعي

19

استراتيجيات الاستدامة والمسؤولية الاجتماعية للذكاء الاصطناعي

20

مراجعة وتقييم البرامج التنفيذية للذكاء الاصطناعي

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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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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
98%
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100%
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2026
Cohort active
Completed from United Kingdom
ST
Sarah Thompson
GB · Course completed

I signed up for the course hoping to get a grip on managing AI projects, and it definitely delivered. The lessons were broken down into bite‑size videos that were easy to follow, and the real‑world examples – like the retail recommendation engine case – made the theory click. I walked away knowing how to draft a solid AI project charter and how to work with data scientists on model validation. The hands‑on labs using Google Colab let me experiment with prompt engineering for large language models, which I’ve already started using in my current role to automate customer support responses. The material was spot‑on for what the industry needs right now, and I felt confident applying what I learned straight away.

MC
Michael Carter
US · Course completed

The Executive Certificate in AI Program Management (Advanced) exceeded my expectations. My goal was to lead AI initiatives in my fintech firm, and the curriculum gave me a clear framework for scoping projects, budgeting resources, and aligning AI solutions with business strategy. The module on AI governance was especially useful; I applied the risk‑assessment checklist to a pilot credit‑scoring model and reduced compliance concerns by 30%. All lecture slides, case studies (including a detailed healthcare AI deployment), and the accompanying Python notebooks were up‑to‑date and directly applicable. The interactive labs helped me build an end‑to‑end AI pipeline in Azure, which I presented to senior leadership and received approval to move into production. Overall, the course was professionally delivered, highly relevant, and has already accelerated my career progression.

AP
Ananya Patel
IN · Course completed

Wow! This course was exactly what I needed to jump‑start my journey into AI leadership. From day one, the instructors were energetic and the content was packed with actionable insights. I loved the hands‑on project where we built an AI‑driven chatbot for a local e‑commerce startup – I actually deployed it on AWS and saw a 15% boost in conversion rates during the trial week! The reading pack included the latest research papers on ethical AI, which helped me craft a responsible AI policy for my company. The community forums were buzzing with peers sharing tips, and the weekly live Q&A sessions kept the momentum high. I’m thrilled to say I earned a promotion to AI Program Manager just weeks after finishing the program.

HR
Hassan Rahman
AE · Course completed

The Advanced Executive Certificate in AI Program Management offered a thorough, step‑by‑step exploration of the entire AI project lifecycle. Each week began with a detailed reading list (including the latest Gartner AI trends report) followed by a deep dive lecture that covered topics such as data strategy, model monitoring, and stakeholder communication. The capstone assignment required us to design a complete AI rollout plan for a smart‑city traffic‑optimization system; I incorporated the risk‑mitigation matrix from the course and presented the plan to my department head, who approved the budget for a pilot. The course materials were well‑structured, the case studies (e.g., the banking fraud detection initiative) were highly relevant, and the supplemental video tutorials on using Azure ML Studio were crystal clear. Overall, the learning experience was rigorous and gave me the confidence to lead AI projects in my organization.





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May 2026