Machine Learning, Data Science, and AI Engineering with Python. Build real world ML pipelines, deploy LLM in production, and scale AI applications with Python

Machine Learning, Data Science, and AI Engineering with Python teaches you how to build and ship production-ready AI systems. Starting from core concepts in machine learning, data science, and Python tooling, you’ll move through deep learning, Transformers, and large language models to master advanced tools like retrieval-augmented generation (RAG), LLM agents, and responsible AI workflows. With each chapter building toward a complete machine learning pipeline, you’ll gain hands-on experience with tools like PyTorch, MLflow, DVC, and FastAPI. You'll also explore key production skills such as model versioning, A/B testing, and containerized deployment. By the end of this book, you’ll know how to take a raw dataset and develop, evaluate, and deploy real time AI systems that are robust, scalable, and explainable.