{"product_id":"9798868827570","title":"Building AI Systems with Python Practical Machine Learning and Agentic Workflows with Python and PyTorch","description":"\u003ch1\u003eBuilding AI Systems with Python\u003c\/h1\u003e\u003ch2\u003ePractical Machine Learning and Agentic Workflows with Python and PyTorch\u003c\/h2\u003e\u003ch3\u003eMartin Hander\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eComputers \/ Artificial Intelligence \/ General\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003e\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"font-family: 'Times New Roman',serif;\"\u003eThis 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.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"font-family: 'Times New Roman',serif;\"\u003eThis 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. Finally, you’ll master deployment techniques using FastAPI, Ray Serve, TorchServe, and cutting-edge LLM serving engines like vLLM and TGI. Each concept is paired with clear code examples, testing patterns, and operational checklists. Instead of one-off tricks, you’ll adopt repeatable workflows: schema-first tooling, reproducible training pipelines, evaluation with golden datasets, and secure production rollouts with monitoring and compliance checkpoints.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"font-family: 'Times New Roman',serif;\"\u003eIn the end, this book helps you build systems that are robust, auditable, and optimized—whether you're deploying your first model or managing complex enterprise workloads. For engineers who want to ship AI confidently and responsibly, this is your practical playbook for the GenAI era.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"font-family: 'Times New Roman',serif;\"\u003eWhat you will learn:\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"font-family: 'Times New Roman',serif;\"\u003eImplement modern AI models including transformers, diffusion, multimodal, recommenders, and RL using practical PyTorch examples.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"font-family: 'Times New Roman',serif;\"\u003eFine tune and serve LLMs with LoRA\/QLoRA, quantization, RAG, tool calling, structured prompts, and robust evaluation techniques.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"font-family: 'Times New Roman',serif;\"\u003eDesign agentic AI systems with memory, planning, safe tool execution, multi agent patterns, and autonomy evaluation frameworks.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"font-family: 'Times New Roman',serif;\"\u003eDeploy and run production grade AI with MLOps\/LLMOps covering serving, performance tuning, monitoring, cost control, compliance, and edge deployments.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"font-family: 'Times New Roman',serif;\"\u003eWho this book is for:\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"font-family: 'Times New Roman',serif;\"\u003eThis book is designed for practicing machine learning and AI engineers, software engineers moving into applied AI, data scientists building production systems, MLOps\/LLMOps practitioners, and technical builders who want to go beyond demos and deploy real-world GenAI, LLM, and PyTorch-based systems at scale.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"MsoNormal\"\u003e\u003cspan style=\"font-family: 'Times New Roman',serif;\"\u003e \u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cdiv\u003e\n\u003cp class=\"PreformattedText\" style=\"line-height: 115%;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Times',serif; color: black;\"\u003eMartin Hander, Ph.D. (LIGS University), is a technology expert, author, and researcher specializing in artificial intelligence, cloud computing, web services and modern data platforms. With more than 15 years of experience in enterprise software engineering, distributed systems, and cloud-native architectures, he has worked across both academic and industry settings, helping organizations build scalable, secure, and future-ready applications.\u003c\/span\u003e\u003c\/p\u003e\r\n\u003cp class=\"PreformattedText\" style=\"line-height: 115%; background: white;\"\u003e\u003cspan lang=\"EN-US\" style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Times',serif; color: black;\"\u003eWhen not writing or researching, Martin enjoys mentoring developers, exploring emerging artificial intelligence innovations, and contributing to the global tech community.\u003c\/span\u003e\u003c\/p\u003e\n\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e15 August 2026\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eApress\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eApress\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9798868827570\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003ePaperback \/ softback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e212\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Apress","offers":[{"title":"Default Title","offer_id":46803328401548,"sku":"9798868827570","price":53.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9798868827570.jpg?v=1781088772","url":"https:\/\/lateknightbooks.com\/products\/9798868827570","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}