Dr. Dulan Dias
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Front cover of From Model to Product: Foundations for Practical AI Engineering, by Dulan S. Dias, PhD
Back cover of From Model to Product
Author
Dr. Dulan Dias
Format
Softcover
Published
2026
Size
17.78 × 25.4 × 2.31 cm
Weight
0.9 kg
ISBN
9798251990959

From Model to Product

Foundations for Practical AI Engineering

By Dr. Dulan Dias · 2026

Artificial intelligence is easy to demonstrate. Building an AI system that actually works in the real world is much harder. This book addresses the core challenge: the hard part is not the model, it's everything around it.

From problem framing and architecture to deployment and production monitoring, this is the practical guide for engineers moving beyond notebooks.

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What's inside

  • System design principles for production AI
  • Deployment using FastAPI and containerisation
  • Monitoring, cost management, and observability
  • Handling real-world constraints: reliability, concurrency, latency
  • Classical ML, computer vision, and LLM-based approaches
  • Team collaboration and responsible AI governance
  • Edge-and-cloud hybrid architectures
  • Problem framing: knowing when NOT to use AI

Chapters

  1. 1The Production Gapwhy most AI projects never ship
  2. 2Problem Framingdefining the right problem before writing code
  3. 3Data Pipelinesengineering data flows for reliability
  4. 4Model Architectureselecting and designing models for production
  5. 5Serving & APIsFastAPI, containerisation, and deployment patterns
  6. 6Monitoring & Observabilityknowing when your system breaks
  7. 7Cost Managementrunning AI systems sustainably at scale
  8. 8Team Structuresorganising for cross-functional AI delivery

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