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برنامج تطوير تنفيذي لإدارة محفظة مشاريع الذكاء الاصطناعي (متقدم) (Advanced)

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Overview

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Learning outcomes

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Course content

1

أسس القيادة الإستراتيجية للذكاء الاصطناعي

2

تحليل بيئة الأعمال للذكاء الاصطناعي

3

إدارة محفظة مشاريع الذكاء الاصطناعي المتكاملة

4

تخطيط موارد المشاريع الذكية

5

تقييم مخاطر وتقنيات الذكاء الاصطناعي

6

حوكمة البيانات والامتثال الأخلاقي

7

نماذج الأعمال للمنتجات الذكية

8

منهجيات Agile وscrum في مشاريع الذكاء الاصطناعي

9

تحسين عمليات اتخاذ القرار بالتحليل التنبؤي

10

استراتيجيات التمويل والاستثمار في Ai

11

قياس الأداء والمؤشرات الرئيسية للمحفظة

12

إدارة المواهب وبناء فرق الذكاء الاصطناعي

13

الابتكار المستدام وتطوير الحلول الذكية

14

التكامل بين الأنظمة التقليدية والذكاء الاصطناعي

15

تطوير استراتيجيات التحول الرقمي المتكامل

16

إدارة التغيير وتنمية الثقافة الرقمية

17

تقنيات الحوسبة السحابية للذكاء الاصطناعي

18

الأمن السيبراني وحماية نماذج Ai

19

التفاوض والشراكات الاستراتيجية في Ai

20

استراتيجيات الخروج وتقييم العائد على الاستثمار

Career Path

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Key facts

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Why this course

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We offer immediate access to our course materials through our open enrollment system. This means:

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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 approached the course looking to sharpen my portfolio governance skills, and it delivered. The professional tone of the lectures made complex concepts like AI model lifecycle budgeting easy to digest. A standout was the hands‑on workshop where we built a KPI dashboard in Power BI for monitoring AI project health; I’ve already implemented that dashboard at my firm. The reading pack was concise yet thorough, and the peer‑review sessions added real‑world perspectives. I’m satisfied with what I learned and would recommend it to anyone in senior project management.

MC
Michael Carter
US · Course completed

The Executive Development Program in AI Project Portfolio Management exceeded my expectations. The modules on strategic alignment and AI risk assessment gave me the exact framework I needed to restructure my company's AI initiatives. I was able to apply the "AI Value Scoring" worksheet directly to three ongoing projects, which helped our leadership prioritize investments and cut down on redundant effort. The course materials—especially the case studies from Fortune‑500 firms—were current and highly relevant. Overall, the learning experience was seamless, and I now feel confident leading a multi‑disciplinary AI portfolio.

AP
Ananya Patel
IN · Course completed

Wow! This course was exactly what I needed to boost my career in AI project management. The enthusiastic instructors kept us engaged with real‑life examples, like how they used Python’s ‘pandas’ library to analyze project ROI across different AI models. I walked away with a ready‑to‑use template for AI risk registers, which I’ve already applied to two new projects at my startup. The material was up‑to‑date, covering the latest AI ethics guidelines, and the community forum was super helpful. I’m thrilled with the results and feel fully equipped to lead larger AI portfolios.

ZD
Zanele Dlamini
ZA · Course completed

The detailed approach of this advanced program suited my need for depth. Each module broke down the complexities of AI project selection, from data readiness assessments to cost‑benefit analyses. I particularly appreciated the case study on a South African telecom’s AI rollout, which mirrored challenges in my own organization. The provided Excel models for portfolio optimization allowed me to simulate different funding scenarios, leading to a 12% increase in projected ROI for our upcoming AI initiatives. The overall experience was rigorous and highly valuable.





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May 2026