Professional Python for AI Engineering: Developing Advanced Solutions in Data Science and Deep Learning - Couverture souple

Halversen, Bjorn

9798170536788: Professional Python for AI Engineering: Developing Advanced Solutions in Data Science and Deep Learning

Couverture souple

ISBN 13 : 9798170536788

Editeur : Independently published, 2026

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What does it take to move from writing Python scripts to engineering production-ready AI systems?

Professional Python for AI Engineering is a practical guide for software engineers and data scientists who want to use Python at a professional level for data science, machine learning, and deep learning applications.
Rather than focusing on basic Python syntax, this book explores the advanced techniques needed to design, optimize, test, deploy, and maintain robust AI software.
You’ll explore how to:

Build reproducible Python environments and manage dependencies for AI projects
Optimize memory usage, algorithms, data loading, and expensive computations
Process massive datasets using multiprocessing, Dask, Polars, and out-of-core techniques
Apply architectural patterns to create modular and maintainable machine learning systems
Structure PyTorch and TensorFlow projects for production
Optimize GPU utilization, mixed-precision training, distributed training, and hyperparameters
Build scalable and fault-tolerant model training pipelines
Serialize and deploy models with ONNX, TorchScript, REST APIs, gRPC, and containers
Test, profile, debug, monitor, and continuously improve AI codebases
Connect data pipelines, feature stores, retraining workflows, telemetry, and security into end-to-end AI engineering systems

Whether you are developing machine learning pipelines, deep learning applications, or production AI infrastructure, this book focuses on the engineering practices that help turn experimental code into reliable software.
Take your Python skills beyond scripting and into professional AI engineering.

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