AI Networking for Beginners

By: Shouse, Sean

AI is transforming networks-and networks are becoming the foundation that makes modern AI possible.

Are you prepared to work confidently where these two fast-growing fields meet?

AI Networking for Beginners gives you a practical, accessible foundation in both sides of this transformation: using artificial intelligence to operate smarter networks and designing high-performance infrastructure for demanding AI workloads. You do not need an advanced networking certification or machine-learning background to begin.

Inside, you'll learn how to:

Understand AIOps, predictive maintenance, anomaly detection, and self-healing networksUse observability, telemetry, and AI-driven analytics to uncover network problems fasterExplore intent-based networking, automation, Zero Trust, and intelligent threat detectionUnderstand why AI training and inference require specialized network architecturesNavigate leaf-spine fabrics, Clos architecture, lossless Ethernet, and GPU clustersCompare InfiniBand, RoCE, RDMA, NVLink, and other high-performance interconnectsRecognize collective communication patterns and the causes of distributed-training bottlenecksBuild a practical learning path toward careers in AI infrastructure and network engineeringReinforce essential terminology with a detailed glossary and acronym reference

Across fifteen structured chapters, the book connects networking fundamentals, machine learning concepts, data center design, security, automation, and high-performance computing. Clear explanations and black-and-white conceptual illustrations help you understand not only what these technologies do, but why they matter.

Whether you are a network engineer entering AI infrastructure, an IT professional preparing for changing responsibilities, or an AI practitioner seeking a stronger understanding of the systems beneath your models, this guide helps you build a connected, technically grounded view of the field.

Start building the networking knowledge the AI era demands-get your copy today.

• Format: Paperback
• Language: English
• ISBN: B0HGG3PFS1
• ISBN13: 9798194786701
• Release Date: August 2026
• Publisher: Independently Published
• Length: 256 Pages
• Weight: 1.32 lbs.
• Dimensions: 0.5" x 8.5" x 11.0"