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Certificat D'études Supérieures En Projet De Capital Humain En Intelligence Artificielle

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Overview

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Learning outcomes

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Course content

1

Fondamentaux De L'ia Et Du Capital Humain

2

Analyse Des Données Rh

3

Conception De Systèmes D'ia Pour La Gestion Du Talent

4

Éthique Et Gouvernance De L'ia En Rh

5

Stratégies D'implémentation De L'ia En Capital Humain

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
OH
Oliver Hughes
GB · Course completed

What an exhilarating experience! From day one, the course sparked my curiosity about AI ethics and employee engagement. I built a chatbot for internal communications as part of the capstone project, and it actually got rolled out in my department! The instructors were passionate and always ready to answer questions, and the peer‑learning forums added a great community feel. Thanks to this program, I earned a promotion to HR Innovation Lead—definitely a career‑changing move.

MC
Michael Carter
US · Course completed

The Certificat D'études Supérieures En Projet De Capital Humain En Intelligence Artificielle exceeded my expectations. The curriculum was meticulously structured, covering strategic workforce planning, AI‑driven talent analytics, and ethical considerations. I was able to apply the predictive hiring models directly to my role, which reduced our time‑to‑hire by 20% within two months. The course materials—especially the case studies from Fortune‑500 companies—were current and highly relevant. Overall, the learning experience was professional and rigorous, and I now feel fully equipped to lead AI‑enabled HR initiatives.

SL
Sophie Laurent
CA · Course completed

I loved the hands‑on vibe of this program. The practical labs where we built a simple AI‑powered résumé screener in Python were super useful. I could see the impact right away at my job, automating the initial screening and freeing up time for more strategic work. The course videos were clear, and the downloadable resources made it easy to revisit tricky concepts. It was a relaxed but effective learning environment, and I left feeling confident about using AI tools in everyday HR tasks.

RK
Rahul Kapoor
IN · Course completed

The program offered a deep, systematic dive into human capital analytics. Weekly webinars with industry experts clarified complex topics like neural‑network‑based talent forecasting. I appreciated the comprehensive reading list and the step‑by‑step guides for implementing AI models. As a result, I designed a predictive attrition model that helped my organization cut turnover by 15% in the first quarter after deployment. The detailed feedback on assignments and the final project report ensured I mastered both theory and practice.





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Recently updated!

May 2026