AI Engineering: Designing Real-World Foundation Model Applications (Educera AI Reliability Series, Band 4) - Softcover

Buch 4 von 4: Educera AI Reliability Series

Publishing, Educera

 
9798268414677: AI Engineering: Designing Real-World Foundation Model Applications (Educera AI Reliability Series, Band 4)
Softcover
ISBN 13: 9798268414677
Verlag: Independently published, 2025

Inhaltsangabe

AI Engineering: Designing Real-World Foundation Model Applications

🚀 Everyone’s talking about AI — but few know how to actually build something that works in production.
You don’t need another hype book. You need a roadmap to engineer, scale, and deploy real-world AI systems that perform.


⚙️ What This Book Delivers

This is not theory. It’s the how-to manual for professionals who want to turn large language models, multimodal systems, and generative AI tools into tangible business solutions.

You’ll learn how to:

  • Architect foundation model pipelines from prototype to production

  • Fine-tune, compress, and optimize models for performance and cost

  • Integrate AI safely with APIs, cloud platforms, and real-time data streams

  • Design evaluation frameworks that measure impact, not just accuracy

  • Build governance and guardrails for privacy, fairness, and reliability

  • Create scalable workflows for continuous deployment and iteration


💼 Who It’s For

  • Machine learning engineers upgrading to applied AI engineering

  • Software architects implementing LLMs and multimodal systems

  • CTOs, founders, and product leaders driving AI-powered products

  • Data scientists ready to move beyond notebooks into production

Tired of endless prototypes that never leave the lab?
This book bridges the gap between research and reality — giving you the frameworks, toolchains, and engineering mindset to build systems that ship, scale, and stay robust.

🔥 Ready to go from prompt tinkerer to AI engineer?
Grab your copy now — and start designing foundation model applications that actually deliver value.

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Verlag
Independently published
Erscheinungsdatum
2025
Sprache
Englisch
ISBN 13 
9798268414677
Einband
Taschenbuch
Anzahl der Seiten
543
Kontakt zum Hersteller
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