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Columbus, United States · Study online with LSPM

Zertifiziertes Fachprogramm Für KI in Der Mathematikbildung (Fortgeschritten) (Advanced)

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Overview

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Learning outcomes

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Course content

1

Grundlagen Künstlicher Intelligenz In Der Mathematik

2

Maschinelles Lernen Für Mathematische Modellierung

3

Neuronale Netze Für Funktionenanalyse

4

Ki‑Gestützte Datenvisualisierung In Der Mathematik

5

Deep Learning Für Differentialgleichungen

6

Entscheidungsbäume Im Statistikunterricht

7

Natural Language Processing Für Mathematische Textaufgaben

8

Reinforcement Learning In Mathematischer Optimierung

9

Transferlernen Für Mathematische Konzepte

10

Explainable Ai Für Mathematische Beweisführung

11

Symbolische Ki Und Automatisches Theorembeweisen

12

Ki‑Basierte Adaptive Lernumgebungen

13

Predictive Analytics Für Lernfortschrittsmessung

14

Generative Modelle Für Mathematische Problemgenerierung

15

Federated Learning Im Mathematikunterricht

16

Ki‑Gestützte Fehlerdiagnose In Rechenaufgaben

17

Graph Neural Networks Für Netzwerkanalyse

18

Ki‑Unterstützte Bewertung Von Mathematischen Lösungen

19

Ethik Und Verantwortung Von Ki In Der Mathematikbildung

20

Zukunftsperspektiven: Ki Und Mathematikforschung

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 Planning and Management
  • 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 **Zertifiziertes Fachprogramm Für KI in Der Mathematikbildung (Fortgeschritten)** exceeded my expectations. The curriculum directly aligned with my goal of integrating AI‑driven problem solving into high‑school calculus lessons. I especially appreciated the hands‑on module on neural‑network‑based curve fitting, which I now use to illustrate regression concepts to my students. The video lectures and accompanying Python notebooks were crystal‑clear and up‑to‑date with the latest research. Overall, the course was professionally structured, and I left feeling fully equipped to redesign my syllabus around AI tools.

SL
Sophie Laurent
CA · Course completed

I took this advanced KI course because I wanted to bring more data‑science flavour to my Grade 12 math class. The content was spot‑on – the sections on decision‑tree visualisation helped me create interactive worksheets that students actually enjoyed. The downloadable resources were well‑organized, and the instructor’s explanations were easy to follow. While I wish there were a few more live Q&A sessions, the overall experience was great and I can already see the impact on my students’ engagement.

FW
Felix Wagner
DE · Course completed

Als Lehrkraft für Mathematik an einer Gesamtschule suchte ich nach einer fundierten Weiterbildung im Bereich Künstliche Intelligenz. Dieses Fachprogramm bot genau das: tiefgehende theoretische Grundlagen kombiniert mit praxisnahen Beispielen, etwa die Implementierung von Support‑Vector‑Machines zur Klassifikation von Funktionsgraphen. Die bereitgestellten Skripte waren auf dem neuesten Stand und die Fallstudien aus dem deutschen Bildungssystem machten das Gelernte sofort anwendbar. Der Kurs war äußerst professionell und hat meine Unterrichtsplanung nachhaltig verbessert.

HT
Haruki Tanaka
JP · Course completed

I was looking for a course that could help me blend AI concepts with my university‑level math teaching. This program was perfect – the deep dive into reinforcement learning for optimizing problem‑set sequencing gave me a concrete tool I’ve already tested in my classes. The slide decks were visually appealing, and the supplemental code samples in R made it easy to adapt to my preferred language. The only downside was the limited Japanese subtitles, but the overall learning experience was enthusiastic and highly valuable.

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Skills gained

Core concepts and frameworks
Analysis and reporting
Strategic planning
Professional communication
Industry-standard tools
Problem solving
These skills will be developed throughout the course


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Recently updated!

June 2026