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Курс Повышения Квалификации Руководителей По Управлению Портфелем Проектов В Сфере 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 Неопределенностей В Ai‑Проектах

3

Методы Приоритизации Ai‑Инициатив

4

Управление Ресурсами И Компетенциями В Ai‑Портфеле

5

Финансовый Контроль И Roi Ai‑Проектов

6

Гибкие Методологии И Скрам В Ai‑Портфеле

7

Этические И Правовые Аспекты Ai‑Проектов

8

Интеграция Ai‑Технологий В Бизнес‑Процессы

9

Управление Данными И Их Качеством В Ai‑Проектах

10

Разработка Kpi И Метрик Эффективности Ai‑Портфеля

11

Внедрение Mlops И Devops Практик

12

Управление Поставщиками И Партнёрами В Ai‑Сфере

13

Прогнозирование Тенденций И Инноваций В Ai

14

Обеспечение Кибербезопасности Ai‑Систем

15

Коммуникация И Стейкхолдер-Менеджмент В Ai‑Портфеле

16

Управление Изменениями И Трансформацией В Ai‑Проектах

17

Аналитика Портфеля С Помощью Bi И Визуализации

18

Управление Масштабированием Ai‑Решений

19

Разработка Стратегии Выхода И Утилизации Ai‑Проектов

20

Непрерывное Обучение И Развитие Компетенций Команды

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.

4.5
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

Honestly, this course was a game‑changer for me. I wanted to move from a technical lead to a real portfolio manager for AI projects, and the practical workshops on agile scaling and stakeholder mapping nailed it. I especially loved the hands‑on simulation where we built a mock AI portfolio and learned how to balance short‑term wins with long‑term research. The material was spot‑on – everything from the reading list to the video tutorials felt current. I’m now confident presenting portfolio strategies to senior leadership, and the course gave me the tools to do it.

MC
Michael Carter
US · Course completed

The Advanced AI Project Portfolio Management course exceeded my expectations. The curriculum directly addressed my goal of leading multi‑disciplinary AI initiatives, and the modules on risk‑adjusted portfolio optimization gave me a clear framework to prioritize projects. I was able to apply the "value‑driven scoring" technique to my own portfolio at work, which resulted in a 12% increase in projected ROI within the first quarter. The case studies and the accompanying slide decks were up‑to‑date and highly relevant to current industry standards. Overall, the learning experience was seamless, and I feel fully equipped to drive strategic AI investments at my company.

AP
Ananya Patel
IN · Course completed

Wow! This advanced program blew me away with its depth and relevance. My aim was to master the art of selecting high‑impact AI projects, and the session on predictive analytics for portfolio selection gave me a concrete, data‑driven method I’ve already used to cut down low‑value projects by 30% at my firm. The interactive labs, especially the one on building a KPI dashboard for AI initiatives, were incredibly useful. The course materials—clear PDFs, real‑world examples, and up‑to‑date research papers—made learning enjoyable. I left the course feeling energized and ready to lead AI transformation.

ZD
Zanele Dlamini
ZA · Course completed

The course offered a detailed, step‑by‑step approach to managing an AI project portfolio, which aligned perfectly with my learning objectives. I gained practical skills such as constructing a weighted scoring model for project selection and using Monte Carlo simulations to assess portfolio risk. The provided case studies, drawn from both start‑ups and large enterprises, illustrated how to adapt the methodology across different organisational contexts. The quality of the courseware was excellent—well‑structured modules, up‑to‑date references, and supplemental tools like Excel templates. My overall experience was highly satisfactory; I now have a solid framework to guide AI investments in my organization.





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May 2026