Artificial Intelligence Made Easy

James Barnebee Avatar
AI Platform Powerhouse

AI Platform Powerhouse

AI Platform Powerhouse In today’s fast-paced digital landscape, the quest for AI supremacy is not just an ambition; it’s an imperative. Enter “Platform Engineering for Artificial Intelligence,” a groundbreaking guide that redefines how we perceive, design, and implement the infrastructure behind generative AI and agentic protocols. Imagine building not just an AI tool, but a powerhouse that adapts, learns, and evolves with every interaction. This book offers a treasure trove of insights into crafting scalable infrastructure that meets the demands of modern generative models. From sophisticated data pipelines that ensure seamless flow and integration of vast datasets to robust model…

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Platform Engineering for Artificial Intelligence: Designing scalable infrastructure, data pipelines, and model lifecycle management ‌for generative AI and agentic⁢ protocols (English Edition)

AI Platform Powerhouse

This thorough 390-page guide transforms how ⁤you approach AI infrastructure by bridging the gap between theoretical models and production-ready systems. ⁣ Platform ‌Engineering ⁤for Artificial Intelligence delivers actionable‌ expertise in designing resilient ‍platforms that⁢ power generative‍ AI, LLMs,‍ and agentic protocols ⁤through ⁣16 meticulously crafted chapters. You’ll⁣ master critical competencies including‍ scalable data pipeline architecture, Infrastructure as Code implementation, and⁤ FinOps cost⁤ optimization ⁣strategies while exploring real-world applications in healthcare ⁣and content ⁤moderation. The book equips platform engineers,⁢ MLOps professionals, data scientists, ‌and cloud developers with the technical foundation to build secure,‌ high-performance‍ ML pipelines and lead transformative AI initiatives. From governance frameworks to team ‌scaling ⁢methodologies,each chapter integrates practical insights that drive measurable business impact,making this essential reading for anyone architecting the future of enterprise AI systems.

  • Master foundational platform engineering principles tailored for AI ecosystems
  • Build modular, production-grade machine learning pipelines ⁤at scale
  • Implement observability, monitoring, and security governance frameworks
  • Lead high-performing platform⁢ teams⁣ through organizational growth phases
Publisher BPB Publications
Pages 390
Publication Date February 13, 2026
Customer Rating 5.0 out of 5 stars

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