August 5, 2026
Data Engineering for Multimodal AI Architecting Scalable Systems for Next – Generation AI Applications
Data Engineering for Multimodal AI Architecting Scalable Systems for Next – Generation AI Applications | 23.63 MB
Title: Data Engineering for Multimodal AI Architecting Scalable Systems for Next – Generation AI Applications
Author: Vasundra Srinivasan
Category: Nonfiction, Computers, Advanced Computing, Programming, Data Modeling & Design, Internet, Web Development, Artificial Intelligence
Language: English | ISBN: 9781098190750
Description:
Data Engineering for Multimodal AI is one of the first practical guides for data engineers, machine learning engineers, and MLOps specialists looking to rapidly master the skills needed to build robust, scalable data infrastructures that multimodal AI systems and applications depend on for effective context engineering. You’ll follow the entire lifecycle of AI-driven data engineering, from conceptualizing data architectures to implementing data pipelines optimized for multimodal learning in both cloud-native and on-premises environments. And each chapter includes step-by-step guides and best practices for implementing key concepts.
Data Engineering for Multimodal AI is one of the first practical guides for data engineers, machine learning engineers, and MLOps specialists looking to rapidly master the skills needed to build robust, scalable data infrastructures that multimodal AI systems and applications depend on for effective context engineering. You’ll follow the entire lifecycle of AI-driven data engineering, from conceptualizing data architectures to implementing data pipelines optimized for multimodal learning in both cloud-native and on-premises environments. And each chapter includes step-by-step guides and best practices for implementing key concepts.
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