[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8},"actionData","errors","root",{"_29":-5,"_39":-5,"_40":41,"_42":43,"_44":45,"_46":47,"_48":49,"_50":51,"_52":53,"_54":55,"_56":57,"_58":59},"routes/_store+/_readers+/email_author.$slug/route",{"_9":10,"_11":-5,"_12":-5},"book",{"_13":14,"_15":16,"_17":18,"_19":20,"_21":22,"_23":24},"currentUser","formToken","id","Z2lkOi8vbGVhbnB1Yi9TdG9yZTo6Qm9va1Byb2R1Y3QvODQ1ODI","title","AI Systems Engineering: From Prototype to Production","state","published","contactAuthorMethod","email","aboutText","

Building production-grade Artificial Intelligence systems has fundamentally transitioned from an empirical research endeavor into a rigorous engineering discipline. AI Systems Engineering: From Prototype to Production bridges the gap between high-level algorithmic concepts and low-level production infrastructure.

Designed for software engineers, ML engineers, and systems architects, this book provides a deep, code-first exploration of how to build, optimize, and scale modern AI applications under strict Service Level Agreements (SLAs).

What You Will Learn:

LLM Runtimes & Serving Engines: Master asynchronous execution loops, continuous batching, and high-performance serving architectures using vLLM, TensorRT-LLM, and TGI.
Memory & Quantization Mechanics: Optimize hardware saturation through PagedAttention, FlashAttention-2, and FP8/INT4 KV-cache quantization.
Advanced Retrieval & Vector Search: Build high-recall RAG pipelines using HNSW graph tuning, sparse-dense hybrid search, and Reciprocal Rank Fusion (RRF).
Agentic Workflows & Multi-Agent Swarms: Architect graph-based state machines, Directed Cyclic Graphs (DCGs), self-reflection loops, and fault-tolerant agentic frameworks.
Multimodal Systems & VLMs: Understand vision encoders, patch extraction, and multimodal projection layers bridging vision and LLM decoders.
Production Observability & Security: Implement OpenTelemetry distributed tracing, the RAG Triad evaluation framework, prompt injection defense, and PII guardrails.

Complete with self-contained Python production simulators, production blueprints, and mathematical foundations, this book equips you with the exact tools needed to deploy resilient, scalable AI systems at enterprise scale.

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Kick off your book project, get started with GhostAI, get better at marketing, or spend the day doing all three! Free live workshops on Zoom. Saturday, June 27, 2026.

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