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Professionelles Zertifikat Im Agilen Projektmanagement Für Künstliche Intelligenz (Fortgeschritten) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Agile Grundlagen Für Ki-Projekte

2

Scrum Mastery Für Ki-Teams

3

Kanban In Ki-Entwicklung

4

Produkt-Backlog Management Für Ki

5

Sprint Planning Für Ki-Systeme

6

Ki-Risk Management Im Agilen Kontext

7

Stakeholder Engagement Für Ki-Projekte

8

Metriken Und Kpi Für Ki-Agilität

9

Continuous Integration & Deployment Für Ki

10

Data Governance Im Agilen Ki-Projekt

11

Ethik Und Verantwortung In Ki-Projekten

12

Scaled Agile Framework (Safe) Für Ki

13

Design Thinking Für Ki-Lösungen

14

User Story Mapping Für Ki-Anwendungen

15

Automatisiertes Testing Für Ki-Modelle

16

Release Management Für Ki-Software

17

Feedback Loops Und Retrospektiven In Ki-Projekten

18

Change Management Für Ki-Transformation

19

Budgetierung Und Ressourcenplanung Für Ki-Projekte

20

Leadership Und Coaching Im Ki-Agile Umfeld

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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.

4.8
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United States
MC
Michael Carter
US · Course completed

The Professional Certificate in Agile Project Management for AI (Advanced) exceeded my expectations. The curriculum aligned perfectly with my goal of leading AI‑driven product teams. I especially appreciated the deep dive into Scrum ceremonies tailored for machine‑learning pipelines, which I’ve already applied to restructure our sprint planning at work. The case studies from real‑world AI projects were highly relevant, and the accompanying slide decks were clear and well‑organized. Overall, the course delivered actionable knowledge and boosted my confidence to manage complex AI initiatives.

LS
Lucas Silva
BR · Course completed

Adorei o curso! Eu queria entender como combinar metodologias ágeis com projetos de IA e o conteúdo foi direto ao ponto. Aprendi a criar um backlog específico para modelos de aprendizado de máquina e a usar métricas de validação como parte das revisões de sprint. Os vídeos são curtos e didáticos, e os materiais de apoio têm exemplos de código em Python que eu consegui testar na prática. Saí do curso já aplicando Kanban para acompanhar a rotatividade de dados nos nossos modelos de previsão.

FW
Felix Wagner
DE · Course completed

Ein sehr spannender Kurs! Ich wollte meine Kenntnisse im agilen Management von KI‑Projekten vertiefen und habe genau das bekommen. Besonders gut fand ich das Modul zu Risiko‑Management, wo wir lernten, ethische Risiken in KI‑Entwicklungen systematisch zu bewerten. Die Lernunterlagen sind professionell gestaltet und die Praxisübungen mit fiktiven Kundenszenarien haben mir geholfen, die Theorie sofort umzusetzen. Der Kurs hat mir das nötige Handwerkszeug gegeben, um in meinem Unternehmen die Einführung von KI‑Lösungen agil zu steuern.

RK
Rahul Kapoor
IN · Course completed

The course was exceptionally thorough and provided a step‑by‑step framework for integrating agile practices into AI development cycles. I was particularly impressed by the detailed walkthrough of sprint retrospectives focused on model performance drift, which I now use to schedule regular model re‑training sessions. The supplemental reading list included recent research papers on AI ethics, and the interactive labs let me practice CI/CD pipelines for TensorFlow models. This comprehensive approach not only met but exceeded my learning objectives, and I feel fully equipped to lead AI projects with confidence.





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Recently updated!

May 2026