Artificial Intelligence Essentials

Introduction

The book provides a structured introduction to core areas of artificial intelligence, including machine learning, deep learning, large language models, and agent-based systems.

It combines theoretical foundations with practical implementation, using tools such as scikit-learn, Keras, and Ollama.

Each chapter includes code examples, exercises, and links to interactive notebooks.

The focus lies on conveying applicable knowledge for real-world use.

Intended Audience

The book is intended for students and practitioners in computer science or related fields and can be used for teaching, self-study, or reference in applied contexts.