Data Engineering For Multimodal AI Architecting Scalable Systems For Next Generation AI Applications (Vasundra Srinivasan)

Data Engineering For Multimodal AI Architecting Scalable Systems For Next Generation AI Applications (Vasundra Srinivasan)

Data Engineering for Multimodal AI (for . .)
by Vasundra Srinivasan

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ISBN:Publisher: O’Reilly Media, Inc. • Year: 2026
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[color=#55acee]🌐 Language: English

[color=#ff9900]📋 INFO: English | 2026 | ISBN: 1098190785 | 635 Pages | EPUB | 24 MB

[color=#888888]📝 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 for multimodal AI systems and applications. 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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Folder: Data Engineering For Multimodal AI Architecting Scalable Systems For Next Generation AI Applications
Format: EPUB
Total Size: 23.63 MB

📋 File List:
📅 05-08-2026 | ⏰ 14:53 UTC

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📌 1098190785.epub (Vasundra Srinivasan) (2026) (23.63 MB)

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