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Gestion De Projet Agile Pour L'intelligence Artificielle

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Overview

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Learning outcomes

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Course content

1

Fondamentaux De L'agilité Pour L'ia

2

Planification Et Backlog Ia

3

Déploiement Continu Et Mlops

4

Gestion Des Risques Éthiques

5

Mesure De Performance Et Optimisation

Career Path

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Key facts

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Why this course

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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
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  • 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
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Upon successful completion, you will receive:

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  • 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 *Gestion De Projet Agile Pour L'intelligence Artificielle* course exceeded my expectations. As a product manager aiming to integrate AI solutions, the agile frameworks taught helped me restructure my sprint planning to include model‑training cycles. I especially valued the hands‑on labs where we built a backlog for a computer‑vision project and used JIRA to track AI‑specific tasks. The course materials—well‑structured video lectures, real‑world case studies from leading tech firms, and downloadable templates—were both current and directly applicable. Thanks to this training, I successfully led my team to deliver a prototype recommendation engine two weeks ahead of schedule.

LS
Lucas Silva
BR · Course completed

Adorei o curso! Eu trabalhava como analista de dados e precisava entender como aplicar metodologias ágeis em projetos de IA. As aulas foram bem dinâmicas e o professor explicou, passo a passo, como montar um Kanban para monitorar experimentos de machine learning. Um exemplo prático que eu usei foi a criação de um “definition of done” para modelos que já estavam validados. Os materiais de apoio, como os slides e os scripts em Python, foram super úteis. Saí do curso confiante para propor um roadmap ágil ao meu chefe, e já estamos testando a primeira iteração.

FW
Felix Wagner
DE · Course completed

Wow, what a fantastic learning experience! This course gave me exactly the agile toolkit I needed to manage AI projects in my fintech startup. I loved the practical sprint simulations where we prioritized features like fraud‑detection algorithms using story points. The quality of the course content was top‑notch – the readings included the latest research from leading AI labs, and the video tutorials were clear and concise. After completing the program, I was able to lead a cross‑functional team to deliver a predictive credit‑scoring model in just three sprints, which impressed our investors.

RK
Rahul Kapoor
IN · Course completed

The course was extremely detailed and well‑organized. My goal was to bridge the gap between my background in software engineering and the emerging field of AI project management. The modules on backlog grooming for data‑driven features, coupled with case studies on autonomous vehicles, gave me concrete examples to follow. I particularly appreciated the supplemental worksheets that guided me through creating user stories for AI‑enabled services. The instructors provided prompt feedback on my capstone project, where I designed an agile workflow for a natural‑language‑processing chatbot. Overall, the experience sharpened my ability to plan, execute, and monitor AI initiatives effectively.





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May 2026