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Программа Развития Руководителей В Управлении Портфелем Проектов Искусственного Интеллекта (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 И Возможностей Ai‑Проектов

3

Приоритетизация И Балансировка Ai‑Инвестиций

4

Управление Ресурсами В Ai‑Портфеле

5

Метрики И Kpi Эффективности Ai‑Проектов

6

Финансовый Анализ И Roi Ai‑Инициатив

7

Управление Жизненным Циклом Ai‑Решений

8

Гибкие Методологии В Управлении Ai‑Портфелем

9

Внедрение Этических Принципов В Ai‑Проектирование

10

Регулятивное Соответствие И Комплаенс Ai‑Технологий

11

Управление Изменениями И Трансформацией Ai‑Команд

12

Внутренняя Коммуникация И Стейкхолдер-Менеджмент Ai‑Портфеля

13

Технологический Надзор И Архитектура Ai‑Систем

14

Интеллектуальная Собственность И Лицензирование Ai‑Продуктов

15

Управление Данными И Их Качество В Ai‑Проектах

16

Разработка И Внедрение Ai‑Стратегий В Бизнес-Процессы

17

Оценка И Развитие Компетенций Ai‑Лидеров

18

Управление Поставщиками И Партнёрскими Экосистемами Ai

19

Инновационные Модели Монетизации Ai‑Решений

20

Постпроектный Аудит И Извлечение Знаний В Ai‑Портфеле

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:

  • 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.

4.8
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 advanced AI project portfolio programme hoping to sharpen my leadership chops, and it delivered. The mix of video lectures and interactive workshops felt very relaxed but still packed with value. I walked away with a practical skill set – like how to prioritise AI projects using the weighted scoring model we practiced in week three. The reading pack was concise and full of current industry examples, which made the theory click. It was a great experience overall – I’m already using the new governance checklist in my team meetings.

MC
Michael Carter
US · Course completed

The Программа Развития Руководителей В Управлении Портфелем Проектов Искусственного Интеллекта (Продвинутый) at Stanmore School of Business perfectly aligned with my goal to lead AI‑driven project portfolios. The modules on risk‑adjusted ROI calculations gave me a concrete framework I now use in quarterly board reports. I especially appreciated the hands‑on case studies that let us build a portfolio road‑map from scratch, applying agile governance principles. The course materials were up‑to‑date, with real‑world data sets and clear visual templates. Overall, the learning experience was rigorous yet supportive, and I feel fully equipped to drive strategic AI initiatives in my organization.

AP
Ananya Patel
IN · Course completed

Wow! This course exceeded every expectation. My learning goal was to master the end‑to‑end management of AI project portfolios, and the program gave me exactly that – from strategic alignment to execution tracking. The live simulation where we managed a mock AI portfolio taught me how to balance resource constraints with innovation potential. The course materials, especially the downloadable KPI dashboard templates, are now a daily tool in my work. The instructors were enthusiastic and responded quickly to questions, making the whole journey exciting and highly rewarding.

ZD
Zanele Dlamini
ZA · Course completed

The advanced leadership programme in AI portfolio management offered by Stanmore School of Business provided a comprehensive and detailed curriculum that matched my professional development plan. I gained deep practical knowledge, such as constructing a multi‑stage investment appraisal model for AI initiatives, which I successfully applied to a recent corporate transformation project. The quality of the course materials stood out – each module included scholarly articles, industry white‑papers, and step‑by‑step guides that were directly applicable. The blend of theoretical depth and hands‑on exercises created an enriching learning environment, and I left the course feeling confident in steering complex AI portfolios.





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Recently updated!

May 2026