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Unternehmenskünstliche Intelligenz

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Overview

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Learning outcomes

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Course content

1

Einführung In Die Unternehmenskünstliche Intelligenz

2

Grundlagen Der Künstlichen Intelligenz

3

Anwendungen Der Künstlichen Intelligenz Im Unternehmen

4

Datenanalyse Und Visualisierung

5

Strategische Entscheidungsfindung Mit Künstlicher Intelligenz

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
ST
Sarah Thompson
GB · Course completed

I signed up for the course because I wanted to understand how AI can be used in everyday business decisions. The videos were easy to follow and the real‑world examples, like the chatbot project for a UK‑based e‑commerce site, helped me get hands‑on experience quickly. I left with a solid grasp of how to set up a data pipeline and train a simple recommendation engine. The material was relevant and up‑to‑date, though I wish there were a few more interactive quizzes. Still, a very satisfying learning journey.

MC
Michael Carter
US · Course completed

The "Unternehmenskünstliche Intelligenz" course precisely matched my learning objectives. The modules on predictive analytics allowed me to build a churn‑prediction model for my retail firm, which reduced customer loss by 12% within the first month. I especially appreciated the well‑structured case studies from German manufacturers, which were directly applicable to my work. The course materials—clear slide decks, Python notebooks, and up‑to‑date research articles—were top‑notch. Overall, the learning experience was seamless, and I feel fully equipped to drive AI‑enabled strategies at my company.

AP
Ananya Patel
IN · Course completed

Wow! This course exceeded all my expectations. I wanted to learn how AI could transform my startup's supply‑chain, and the lessons on reinforcement learning gave me the exact tools I needed. I built a prototype that optimised inventory levels and cut costs by 18% in our pilot test. The instructors were enthusiastic, the slides were colourful, and the supplemental datasets from real companies made every assignment feel like a real project. I'm thrilled with the knowledge I gained and will definitely recommend it to fellow entrepreneurs.

HK
Hannah Krüger
DE · Course completed

The course delivered a detailed and systematic overview of AI applications in business contexts. I particularly valued the deep dive into natural language processing for customer service automation; the step‑by‑step lab enabled me to deploy a sentiment‑analysis model on our internal ticket system. The provided reading list, which included recent papers from leading European research institutes, kept the content current and academically rigorous. While the pacing was a bit fast for newcomers, the overall quality of the materials and the practical exercises made the learning experience highly rewarding.





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Recently updated!

May 2026