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Программа Развития Руководителей По Управлению Портфелем Ai‑проектов (Продвинутый) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Стратегическое Планирование Ai‑Портфеля

2

Оценка Рисков Ai‑Инициатив

3

Приоритизация Проектов На Основе Roi

4

Управление Ресурсами Ai‑Команд

5

Методы Финансового Моделирования Ai‑Проектов

6

Управление Жизненным Циклом Ai‑Решений

7

Интеграция Ai‑Технологий В Бизнес‑Процессы

8

Метрики Эффективности Ai‑Портфеля

9

Управление Изменениями В Ai‑Проекте

10

Внедрение Devops Для Ai‑Разработки

11

Управление Данными И Этика Ai

12

Прогнозирование Спроса На Ai‑Услуги

13

Управление Партнёрствами И Экосистемой Ai

14

Аудит И Контроль Качества Ai‑Систем

15

Управление Интеллектуальной Собственностью Ai‑Проектов

16

Обучение И Развитие Ai‑Команд

17

Управление Масштабированием Ai‑Решений

18

Кибербезопасность В Ai‑Портфеле

19

Управление Нормативным Соответствием Ai‑Технологий

20

Стратегии Выхода И Монетизации Ai‑Продуктов

Career Path

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Key facts

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

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

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 signed up for the Stanmore course because I wanted a practical boost in handling multiple AI projects. The casual yet thorough teaching style made complex concepts easy to digest. I learned how to run quick feasibility workshops – a skill I’ve already used in my current role to trim down three under‑performing pilots. The video tutorials on risk‑adjusted scoring were spot‑on, and the downloadable templates saved me hours of work. The only thing that could be improved is a bit more focus on emerging AI regulations, but overall I’m very happy with what I got out of the programme.

MC
Michael Carter
US · Course completed

The advanced program on managing an AI‑project portfolio exceeded my expectations. The curriculum was perfectly aligned with my goal of leading a cross‑functional AI team. I especially valued the module on strategic prioritisation, which gave me a clear framework to rank projects based on ROI and risk. Using the provided Excel‑based portfolio‑balancing tool, I was able to re‑structure our department’s roadmap within two weeks, saving an estimated 15% in redundant effort. The case studies from leading tech firms were up‑to‑date and directly applicable. Overall, the course materials were high‑quality, the instructors were experts, and I left feeling fully equipped to drive AI initiatives at the executive level.

AP
Ananya Patel
IN · Course completed

Wow! This course was exactly what I needed to level up my leadership game in AI. The enthusiastic vibe of the instructors kept me engaged, and the hands‑on labs on building a portfolio‑level Gantt chart were a game‑changer. I now confidently present a three‑year AI roadmap to my board, complete with cost‑benefit analyses and KPI dashboards that I learned to create during the sessions. The reading pack included the latest research on AI governance, which I could immediately apply to our compliance processes. I’m thrilled with the results – our team secured a $2 million budget increase thanks to the clear, data‑driven plan I produced.

ZD
Zanele Dlamini
ZA · Course completed

The Programme Development for AI‑Project Portfolio Management was delivered in a highly detailed manner that suited my analytical mindset. Each module broke down the theory behind portfolio optimisation and then walked us through real‑world spreadsheets and Python scripts. I now have the ability to conduct Monte‑Carlo simulations to forecast project outcomes – a skill I demonstrated in a recent internal audit, earning commendation from senior management. The course materials, especially the annotated case files from European fintech firms, were exceptionally relevant. While the pacing was intense, the depth of knowledge gained makes it a worthwhile investment.





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May 2026