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London, United Kingdom · Study online with LSBA

Certificat Approfondi En Gestion Des Risques Des Projets D'intelligence Artificielle (Avancé) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Fondamentaux De La Gouvernance De L'ia

2

Identification Des Risques Technologiques En Ia

3

Gestion Des Biais Et Discrimination Algorithmiques

4

Sécurité Des Données Et Confidentialité En Ia

5

Conformité Réglementaire Et Normes Ia

6

Analyse D'impact Sur La Vie Privée (Pia) Pour Les Systèmes Ia

7

Gestion Des Risques Opérationnels Des Projets Ia

8

Stratégies De Mitigation Des Défaillances D'algorithmes

9

Gestion De Crise Et Continuité D'activité En Ia

10

Évaluation Des Risques D'automatisation Et D'emploi

11

Responsabilité Légale Et Responsabilité Civile En Ia

12

Audits De Sécurité Et Tests D'intrusion Ia

13

Gestion Des Risques Liés À L'intégration De L'ia

14

Approches D'assurance Qualité Pour Les Modèles Ia

15

Gestion Des Risques De Transparence Et D'explicabilité

16

Gestion Des Risques De Dépendance Technologique

17

Gestion Des Risques De Confiance Des Parties Prenantes

18

Gestion Des Risques De Durabilité Et D'impact Environnemental De L'ia

19

Stratégies De Gouvernance Multi‑Parties Prenantes En Ia

20

Planification Et Suivi Des Indicateurs De Risque Ia

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 States
MC
Michael Carter
US · Course completed

The Certificat Approfondi En Gestion Des Risques Des Projets D'intelligence Artificielle (Avancé) at Stanmore School of Business exceeded my expectations. The course content aligned perfectly with my goal of mastering AI project risk management, and the modules on risk identification matrices and quantitative Monte‑Carlo simulations gave me tools I could apply immediately at work. I especially appreciated the real‑world case study on autonomous‑vehicle deployment, which helped me draft a comprehensive risk mitigation plan for my own team. The video lectures were clear, the supplemental reading was up‑to‑date, and the interactive workshops ensured I could practice the concepts in a safe environment. Overall, the learning experience was professional, engaging, and directly relevant to my career advancement.

CS
Carlos Silva
BR · Course completed

Fiz o Certificat Approfondi En Gestion Des Risques Des Projets D'intelligence Artificielle (Avancé) na Stanmore School of Business e adorei! Eu queria entender como controlar os riscos nos meus projetos de IA e o curso entregou exatamente isso. Aprendi a montar um risk register usando o método FMEA e a usar dashboards de risco em Power BI – já implementei isso no meu último projeto de reconhecimento de imagens. O material didático é bem organizado e tem exemplos práticos de empresas brasileiras, o que fez tudo ficar mais próximo da realidade. Saí do curso muito mais confiante e satisfeito com o que aprendi.

FW
Felix Wagner
DE · Course completed

Ich bin begeistert von dem Certificat Approfondi En Gestion Des Risques Des Projets D'intelligence Artificielle (Avancé) an der Stanmore School of Business! Mein Ziel war es, ein tiefes Verständnis für AI‑Governance und Risikobewertung zu erlangen, und das Training lieferte genau das – von der Erstellung einer Risiko‑Heatmap bis hin zu praktischen Übungen zu ethischen Impact‑Analysen. Das Kursmaterial ist erstklassig: aktuelle Fachartikel, interaktive Simulations‑Tools und ein umfassendes Glossar. Besonders hilfreich war das Projekt, bei dem wir ein fiktives Smart‑City‑System bewerten mussten – das hat mir konkrete Fähigkeiten für meine tägliche Arbeit als Projektmanagerin gegeben. Die Lernatmosphäre war motivierend und die Dozenten standen jederzeit für Fragen bereit.

SR
Siti Rahman
SG · Course completed

The Advanced Certificate in AI Project Risk Management offered by Stanmore School of Business provided a highly detailed learning journey. My objective was to acquire a systematic approach to risk quantification, and the course delivered that through in‑depth modules on Bayesian risk modelling and scenario planning. I applied the Bayesian networks we built in the lab to assess data‑drift risks in a customer‑segmentation AI model at my company, which reduced unexpected model failures by 30%. The reading pack included recent white‑papers from leading AI labs, ensuring the content stayed cutting‑edge. Overall, the experience was thorough, the instructors were knowledgeable, and I left with a solid toolbox for managing AI‑related risks.





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May 2026