SKU/Artículo: AMZ-B0GL8S4TW9
CRACKING THE GENERATIVE AI SYSTEM DESIGN INTERVIEW: Real-World Frameworks, Mock Questions, and Proven Strategies to Land Your AI Dream Job
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Paperback
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En stock
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0.51 kg
0.51 kg
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Nuevo
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Amazon
Amazon
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USA
USA
Sobre este producto
- Design. Scale. Defend. Explain.This is not another AI theory book.Generative AI System Design is a practical, real-world guide for engineers, architects, and interview candidates who want to design production-ready generative AI systems and confidently explain their decisions in system design interviews.If you’ve ever asked how systems like ChatGPT, enterprise AI copilots, or Retrieval-Augmented Generation (RAG) platforms are actually architected, scaled, monitored, and evaluated, this book gives you the answers. Who This Book Is ForThis book is designed for:Software Engineers preparing for AI or system design interviewsMachine Learning Engineers moving models into productionBackend and Platform Engineers working with LLMs and RAG systemsArchitects designing enterprise generative AI platformsAnyone who wants to go beyond prompting and understand real GenAI systemsNo advanced math required. The focus is on engineering judgment, architecture, and trade-offs. What This Book Teaches YouYou’ll learn how to design modern generative AI systems end to end, including:How LLMs, embeddings, vector databases, memory, and retrieval fit togetherHow Retrieval-Augmented Generation (RAG) systems are designed, optimized, and scaledHow orchestration layers manage prompts, tools, agents, and multimodal inputsHow production systems handle latency, reliability, observability, and costHow to move from prototype to production without breaking scalability or safetyHow interviewers evaluate AI system design answers and how to exceed expectations Inside the BookThis book combines clear explanations, diagrams, and interview-ready frameworks, including:Visual-first architecture diagrams and system flowsDeep dives into RAG design, embeddings, indexing, freshness, and rankingReal-world case studies inspired by production GenAI systems30+ mock AI system design interview questions with:structured answersreasoning templatesarchitecture diagramsCommon design pitfalls and how to avoid themPractical guidance on monitoring, logging, cost optimization, and governanceFuture-proofing strategies for evolving AI systems Why This Book Is DifferentMost AI books explain models. This book explains systems.You won’t just learn what components exist you’ll learn:why specific design choices are madehow trade-offs impact scale, cost, and reliabilitywhat interviewers are actually testingwhere real-world GenAI systems fail in productionBy the end, you’ll know how to structure your thinking, not just memorize architectures.If You Want To:design scalable, production-ready generative AI systemsmaster RAG, orchestration, and AI system architecturesucceed in AI system design interviewsunderstand how real GenAI platforms work in practicefuture-proof your AI engineering skillsThis book belongs on your desk. CLICK TO BUY YOUR COPY NOW!!!
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AR$93.030
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AR$64.157
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