{"product_id":"the-llm-architects-blueprint-building-fine-tuning-and-scaling-enterprise-grade-generative-ai-applications-with-python-9798245829036","title":"The LLM Architect's Blueprint: Building, Fine-Tuning, and Scaling Enterprise-Grade Generative AI Applications with Python","description":"\u003cp\u003e • Author(s): Adrian Vossner\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Artificial Intelligence - Generative AI\u003c\/p\u003e\u003cp\u003eStop treating LLMs like temperamental pets and start treating them like production services. I'm \u003ci\u003e\u003cb\u003eAdrian Vossner\u003c\/b\u003e\u003c\/i\u003e - engineer, architect, and occasional chaos-tamer - and I wrote the book I needed when my first \"proof-of-concept\" tried to schedule a meeting with the CEO (without approval). \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003eThis is a hands-on, \u003cb\u003ePython-first playbook\u003c\/b\u003e for teams that must move fast and stay sane. No deep theory detours - just repeatable patterns, copy-paste artifacts, and realistic tradeoffs you can apply tomorrow. \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWhat you'll build and ship inside this book: \u003c\/b\u003e \u003cp\u003e\u003c\/p\u003e- \u003cb\u003eA repeatable enterprise blueprint \u003c\/b\u003e(architecture diagrams, request flows, rollout checklists)\u003cbr\u003e- \u003cb\u003eBuild-along Python code\u003c\/b\u003e: FastAPI services, ingestion workers, RAG with citations, tool layers, and a prompt registry\u003cbr\u003e- \u003cb\u003ePractical fine-tuning recipes \u003c\/b\u003e(PEFT \/ LoRA \/ QLoRA) and packaging for production\u003cbr\u003e- \u003cb\u003eOps + reliability playbook\u003c\/b\u003e: tracing, replay debugging, cost dashboards, load tests, fallbacks, and circuit breakers\u003cbr\u003e- \u003cb\u003eSecurity \u0026amp; compliance patterns\u003c\/b\u003e: PII redaction, prompt-injection defenses, audit trails, tenant isolation\u003cbr\u003e- \u003cb\u003eA capstone project you can clone\u003c\/b\u003e: move from pilot to multi-team production with operational handoffs \u003cp\u003e\u003c\/p\u003e\u003cb\u003eWho this book is for\u003c\/b\u003e \u003cp\u003e\u003c\/p\u003eBackend engineers, ML engineers, SREs, and engineering leaders building enterprise generative AI applications with Python - especially if you care about cost, security, and getting from demo to dependable quickly. \u003cp\u003e\u003c\/p\u003eA quick promise: follow the capstone and templates and you'll have a secure RAG pilot and production-ready API scaffolding you can demo to stakeholders in days, not months. \u003cp\u003e\u003c\/p\u003eReady to stop babysitting models and start shipping systems? Open the blueprint, roll up your sleeves, and let's build something your compliance team will actually approve. \u003cp\u003e\u003c\/p\u003e\u003ci\u003e- Adrian Vossner\u003c\/i\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47570971361431,"sku":"9798245829036","price":4213.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798245829036.webp?v=1774885517","url":"https:\/\/atlanticbooks.com\/products\/the-llm-architects-blueprint-building-fine-tuning-and-scaling-enterprise-grade-generative-ai-applications-with-python-9798245829036","provider":"Atlantic Books","version":"1.0","type":"link"}