Since August 2026
Instructor since August 2026
Artificial intelligence is becoming part of everyday life, but many students use it without understanding what happens behind the screen. This beginner-friendly class helps young students build a clear and meaningful foundation in artificial intelligence and machine learning.
As a student, you will learn how to think about AI: where its main ideas come from, how a machine learns from examples, why a model can make predictions, and why it can sometimes make mistakes. Instead of simply learning how to use AI applications, you will begin to understand the reasoning, mathematics and processes that make them work.
Using simple explanations, visual examples and interactive exercises, we will explore data, patterns, algorithms, model training, classification, neural networks and real-world AI applications. We will also discuss the limitations of AI and how to evaluate its answers critically.
No previous knowledge of AI, programming or advanced mathematics is required. Each lesson will be adapted to the student’s age, current knowledge and interests.
I am a Master’s student in Artificial Intelligence at Johannes Kepler University Linz and also have a background in mechatronics. My goal is to make difficult ideas understandable and give students the foundation they need for future studies in mathematics, programming, robotics and artificial intelligence.
As a student, you will learn how to think about AI: where its main ideas come from, how a machine learns from examples, why a model can make predictions, and why it can sometimes make mistakes. Instead of simply learning how to use AI applications, you will begin to understand the reasoning, mathematics and processes that make them work.
Using simple explanations, visual examples and interactive exercises, we will explore data, patterns, algorithms, model training, classification, neural networks and real-world AI applications. We will also discuss the limitations of AI and how to evaluate its answers critically.
No previous knowledge of AI, programming or advanced mathematics is required. Each lesson will be adapted to the student’s age, current knowledge and interests.
I am a Master’s student in Artificial Intelligence at Johannes Kepler University Linz and also have a background in mechatronics. My goal is to make difficult ideas understandable and give students the foundation they need for future studies in mathematics, programming, robotics and artificial intelligence.
1st lesson is backed
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