It’s time to get practical about AI. Move past playing around with chatbots and plugging your data into others’ applications—learn how to create your own! Walk through key AI methods like decision trees, convolutional layers, cluster analysis, and more. Get your hands dirty with simple no-code exercises and then apply that knowledge to more complex (but still beginner-friendly!) examples. With information on installing KNIME and using tools like AutoKeras, ChatGPT, and DALL-E, this guide will let you do more with AI! Right at the beginning, we’ll look at a finished Python program for a specific problem and discuss it in detail. We’ll then modify this program so that we can use it to solve other problems. Later on, we’ll continue in this way. We’ll also solve some tasks using the KNIME software, including graphical modules. This way, you don’t have to rewrite programs from scratch. The aim isn’t to give you a comprehensive introduction to the Python programming language or the modules used. After reading this book, you’ll be able to download data records from the internet and develop AIs for them or adapt your existing programs for this purpose. This is a very pragmatic approach. The programming language is only a means to an end. However, if you’ve worked through the book and want to deepen your knowledge in this area, I recommend that you learn the Python programming language.