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Graduiertenzertifikat Künstliche Intelligenz – Human‑capital‑projekt

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Overview

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Learning outcomes

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Course content

1

Grundlagen Der Künstlichen Intelligenz

2

Datenanalyse Für Hr

3

Maschinelles Lernen In Der Personalentwicklung

4

Ethik Und Ki Im Personalwesen

5

Implementierung Von Ki-Gestützten Hr-Systemen

Career Path

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Key facts

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Why this course

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Everything you need to know before you start

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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 Graduiertenzertifikat Künstliche Intelligenz – Human‑capital‑projekt exceeded my expectations. The modules on AI‑driven talent analytics gave me exactly the tools I needed to redesign our company's workforce planning process. I was able to apply the predictive‑modeling scripts we built in class directly to our HR data, which reduced turnover forecasting errors by 12 %. The course materials—especially the case studies from leading European firms—were up‑to‑date and highly relevant. Overall, the learning experience was seamless, the instructors were responsive, and I feel fully prepared to lead AI initiatives in my organization.

SL
Sophie Laurent
CA · Course completed

I took this AI certificate because I wanted to add some tech chops to my HR background, and it definitely delivered. The hands‑on labs where we built a simple chatbot for employee FAQs were super useful – I actually rolled that prototype out at my workplace right after the course. The lecture videos were clear and the reading list wasn’t overloaded with jargon. I appreciated the mix of theory and practical exercises. All in all, a solid program that helped me meet my goal of modernising our talent‑acquisition workflow.

FW
Felix Wagner
DE · Course completed

Wow – what an inspiring journey! The course’s focus on ethical AI in human capital resonated with me, and the group project on bias detection in recruitment algorithms gave me real‑world experience. I learned to use Python’s scikit‑learn library to audit hiring data, which I later presented to my board, earning approval for a new fairness dashboard. The study materials were top‑notch, with up‑to‑date research papers and interactive dashboards that made complex concepts easy to grasp. I’m thrilled with the knowledge I gained and can’t recommend it enough.

KT
Kenji Takahashi
JP · Course completed

The Graduiertenzertifikat offered a very detailed curriculum that aligned perfectly with my objective to integrate AI into our corporate training programs. The module on machine‑learning‑based skill gap analysis taught me how to preprocess employee performance data and run clustering algorithms, which I have already implemented to create personalized learning paths. The provided slide decks and code repositories were meticulously organized, making self‑study efficient. While the workload was intense, the supportive forum and weekly Q&A sessions ensured I stayed on track. I left the course confident in applying AI solutions to human‑capital challenges.





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Recently updated!

May 2026