ThinkBeyondAI
LearnAI — courses by ThinkBeyondAI
Collaborators on the project
Shay Luo
Shay Luo
Ex-Kearney Partner & Founder. Combines consulting strategy with AI solutions.
Prof. Inhwa Kim
Prof. Inhwa Kim
Assistant Professor of Business at Oregon State University. AI scientist in human-AI interaction and AI in retail.

AI Basics

Understand how today's AI models really work, and where they fall short. Learn to use them with judgment instead of blind trust. Learn from industry experts and put it into practice in our AI City Quest mini-game. The essential starting point for anyone new to working professionally with AI.

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EXPLORE AI BASICS
EXPLORE AI BASICS
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AI Skills

Go from user to builder, step by step. Learn the practical skills that set you apart: coding with AI, using tools through MCPs, and designing workflows that automate real tasks. Build from your first prompt to complete AI systems in professional work environments.

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EXPLORE AI SKILLS
EXPLORE AI SKILLS
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Certificate · Built for EU AI Act literacy requirements

Building your first statistical model

How do you forecast a month that has not happened yet? An introduction to time series, built on a simple regression you can run yourself, and an honest look at where it fails.

Building your first statistical model

THINKBEYONDAI

The best professionals of the next decade won't ignore AI, and they won't trust it blindly either. They will be the ones who define what counts as correct in their field, not in spite of automation but through it.

ThinkBeyondAI exists to support exactly that: understanding how these systems work and recognizing where they fail, so that you remain the standard AI is measured against rather than the one it overtakes.

We study how AI is reshaping professional work and what it means for institutions whose authority rests on human judgment. And we go beyond theory: we show how the tools are used in everyday practice and create learning materials for teams and individuals.

Our work grows out of an international collaboration between students, professors and practitioners. Students bring the questions their future professions have stopped asking. Professors bring methodological rigor. Practitioners bring the reality of everyday work.

Think beyond the forecast.

Latest posts

(80 Posts)

Credit scoring under the AI Act

Credit scoring is named as high-risk in the AI Act itself. What the law demands of a lender, and which rulebooks apply at the same time.

by Emil Ohligs, Sep 16, 2026

Three architectures, three jobs

Self-attention weighs every token at once, a convolution slides across pixels. Why one system writes a summary and another spots a tumor.

by Emil Ohligs, Sep 16, 2026

Agents are an organizing principle

One prompt cannot be creative, skeptical and precise at once. Splitting the work across defined agents is a process decision, not a tooling one.

by Emil Ohligs, Sep 16, 2026

When the test set is wrong

Correct the labels in ImageNet and ResNet-18 overtakes ResNet-50. Benchmarks are treated as ground truth and almost never audited.

by Emil Ohligs, Sep 16, 2026

KI-Skills: erst Gehaltsprämie, jetzt EU-Gesetz

Anfang August 2026 passiert etwas, das viele Unternehmen noch nicht auf dem Radar haben: Die nationalen Marktüberwachungsbehörden beginnen mit der Durchsetzung von Artikel 4 der EU-KI-Verordnung. Die Verordnung nennt den 2. August, das Q&A der Kommission den Folgetag. Die Pflicht selbst ist nicht neu, sie gilt

by Carl Erhard, Jul 07, 2026

Warum überparametrisierte neuronale Netzwerke nicht Overfitten: Ein mathematisches Paradox

GPT-4 hat mehr Parameter als die Menschheit Bücher geschrieben hat. Laut klassischer Statistik müsste ein solches Modell bei neuen Daten katastrophal versagen. Stattdessen funktioniert es außergewöhnlich gut. Dieser Artikel erklärt, warum. Das zerbrochene Gesetz: Wenn das Lehrbuch schweigt Stell dir vor, du baust ein Haus mit hundertmal mehr Säulen,

by Tom Buchholz, Jul 07, 2026

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