Building AI Systems with Python - Practical Machine Learning and ...
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Date uploaded: Aug. 10th '26
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Building AI Systems with Python: Practical Machine Learning and Agentic Workflows with Python and PyTorch

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English | 23 July 2026 | ASIN: B0GSF2G88S | 443 pages| Epub PDF (True) | 9 MB
This book is a practical, end-to-end guide for engineers and practitioners who want to move beyond prototypes and confidently deploy machine learning and large language model solutions in real-world environments. This book guides through the entire modern machine learning lifecycle. You’ll start with foundations using NumPy, Pandas, and PyArrow for data pipelines, then build solid baselines with scikit-learn. From there, you advance into deep learning with PyTorch, transformers, and LLM adaptation techniques such as LoRA and QLoRA. You’ll explore diffusion and multimodal models, and learn to build retrieval-augmented generation systems with FAISS and pgvector. Practical chapters cover agents, tool use, evaluation frameworks, observability, and responsible AI practices including privacy, safety, and governance
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