The book is a technical reference that focuses on the practical application of building AI models. The book goes beyond lengthy academic theories to provide content that focuses on the programming and mathematical skills required in the job market. - Detailed Content: - 1- Fundamentals: Explains the necessary mathematical and technical requirements to get started, focusing on essential Python tools.  - 2- Machine Learning: Practical application of classification, regression, and clustering algorithms using standard Python libraries. - 3- Deep Learning: Explains how to build and train neural networks, and the steps required to develop advanced models. - 4- Programming Implementation: The book contains ready-to-execute examples and code snippets, with explanations on how to use interactive work environments like Jupyter Notebook.