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Профессиональный Сертификат По Гибкому Управлению Проектами Для Искусственного Интеллекта (Продвинутый) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Основы Гибкого Управления Проектами Ии

2

Scrum В Проектах Искусственного Интеллекта

3

Kanban Для Разработки Ии‑Моделей

4

Планирование Спринтов В Ai‑Проектах

5

Управление Рисками В Проектах Ии

6

Оценка Стоимости И Ресурсов Ai‑Проектов

7

Взаимодействие С Заказчиком В Ai‑Среде

8

Инкрементальная Поставка Ai‑Продуктов

9

Метрики Эффективности Ai‑Команд

10

Управление Данными И Этикой В Ai‑Проектах

11

Интеграция Devops И Mlops В Гибкой Среде

12

Приоритетизация Фич И Моделей Ии

13

Управление Изменениями В Ai‑Системах

14

Agile‑Коучинг Для Ai‑Команд

15

Управление Распределёнными Ai‑Командами

16

Визуализация Прогресса Ai‑Проектов

17

Управление Качеством Данных В Agile

18

Принципы Lean В Разработке Ии

19

Управление Поставщиками И Платформами Ai

20

Подготовка К Сертификации Ai‑Проектов

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
Open enrolment · Start today

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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 loved the relaxed yet thorough approach of the course. The videos broke down complex agile concepts into bite‑size pieces, and the hands‑on labs let me practice setting up CI/CD for a neural‑network project. After finishing, I could confidently run a sprint review with data scientists and explain why the Definition of Done matters for model validation. The PDFs were clear and the community forum was buzzing with useful tips. It’s definitely helped me hit my learning goal of managing AI‑focused projects.

MC
Michael Carter
US · Course completed

The Advanced Agile Project Management for AI certificate exceeded my expectations. The modules on sprint planning for machine‑learning pipelines gave me a clear roadmap for my current project at a fintech startup. I was able to redesign our backlog using the taught "AI‑driven story mapping" technique, which cut development time by 15 %. The course materials—especially the case studies from real‑world AI implementations—were up‑to‑date and highly relevant. Overall, the program was professionally delivered, and I feel fully equipped to lead cross‑functional AI teams.

AP
Ananya Patel
IN · Course completed

What a fantastic learning experience! The detailed walkthrough of Kanban boards for AI model versioning was exactly what I needed for my role at a health‑tech company. I applied the risk‑assessment worksheet from week 3 to identify data‑bias issues before they became production problems. The course’s blend of theory and real‑world examples—like the Amazon Alexa case study—made the content instantly applicable. I left the program feeling confident that I can drive agile transformations in AI‑centric teams.

ZD
Zanele Dlamini
ZA · Course completed

The program was incredibly detailed and gave me the practical tools I was looking for. I especially appreciated the module on stakeholder communication for AI projects; it taught me how to craft sprint demos that translate technical results into business value for non‑technical executives. Using the provided JIRA templates, I set up a pilot project for an image‑recognition system, which reduced our iteration cycle from eight weeks to five. The course material was well‑structured, with downloadable cheat‑sheets that I still refer to daily.

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Skills gained

Core concepts and frameworks
Analysis and reporting
Strategic planning
Professional communication
Industry-standard tools
Problem solving
These skills will be developed throughout the course


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Taught in English

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Recently updated!

May 2026