This book aspires young graduates and programmers to become AI engineers and enter the world of Artificial Intelligence (AI) by combining powerful Python programming with Artificial Intelligence. Beginning with the fundamentals of Python programming, the book gradually progresses to Machine Learning, where readers learn to implement Python in developing predictive models. The book provides a clear and accessible explanation of Machine Learning, incorporating practical examples and exercises that strengthen understanding. We go deep into Deep Learning, another vital component of AI. Readers gain a thorough understanding of how Python's frameworks and libraries can be used to create sophisticated neural networks and algorithms, which are required for tasks such as image and speech recognition. Natural Language Processing (NLP) is also covered in the book, with fundamental concepts and techniques for interpreting and generating human-like language covered. Our adventure starts with a detailed overview of Python's principles, revealing how this language is the ideal toolkit for aspiring AI practitioners. As we progress, the domains of Machine Learning and Deep Learning unveil themselves, illustrating how Python's libraries and frameworks are crucial in pioneering advances in these fields. Each chapter advances your AI learning curve, from the fundamentals of data management to the complexity of neural networks.