Artificial Intelligence: A Systems Approach — From Architecture Principles to Deployment (ISBN 9780262048989) - Hardcover

Artificial Intelligence: A Systems Approach — From Architecture Principles to Deployment (ISBN 9780262048989) - Hardcover

  • Condition: Brand New.
  • Author: David R. Martinez, Bruke M. Kifle
  • ISBN13: 9780262048989
  • ISBN10: 0262048981
  • Type: Hardcover Book.
  • Publisher: The MIT Press
  • Language : English

By: David R. Martinez, Bruke M. Kifle Availability: In Stock Condition: Brand New.

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Artificial Intelligence: A Systems Approach — From Architecture Principles to Deployment (ISBN 9780262048989)

Artificial Intelligence: A Systems Approach by David R. Martinez and Bruke M. Kifle provides a comprehensive, engineering-focused roadmap for designing, building, integrating, and deploying AI systems at scale. Part of the prestigious MIT Lincoln Laboratory Series, this book offers a rare systems-level perspective on AI that bridges algorithms, architecture, infrastructure, development workflows, and mission-ready deployment.

Product Details

  • Title: Artificial Intelligence: A Systems Approach — From Architecture Principles to Deployment
  • Series: MIT Lincoln Laboratory Series
  • Authors: David R. Martinez, Bruke M. Kifle
  • ISBN-13: 9780262048989
  • Format: Hardcover
  • Price: $59.99
  • Availability: In Stock | Free Shipping Worldwide

What This Book Provides

An end-to-end framework that covers the full AI system lifecycle — from foundational architecture decisions and algorithm design to operational deployment and real-world performance. Ideal for defense, aerospace, enterprise engineering, and high-reliability AI environments.

Key Features

  • Systems Engineering Perspective: How to design AI systems that are reliable, scalable, and mission-aligned.
  • Architecture Principles: Hardware, software stacks, compute environments, and data pipelines.
  • AI Lifecycle Integration: Data curation, training, evaluation, validation, deployment, and sustainment.
  • Operational Constraints: Edge AI, power/latency constraints, cybersecurity, and verification.
  • Mission-Critical Applications: Defense, aerospace, national security, autonomous systems, and large-scale infrastructure.

Topics Covered

  1. AI Fundamentals and System Context
  2. Data Pipelines and Curation
  3. Model Training, Validation, and Optimization
  4. AI System Architecture and Infrastructure
  5. Human-Machine Teaming
  6. Edge and Real-Time Deployment
  7. Testing, Evaluation, and Certification
  8. Scaling AI Across Organizations

Who Should Use This Book?

  • AI engineers, architects, and ML Ops professionals
  • Defense, aerospace, and national security engineers
  • Systems engineers building high-reliability AI
  • Researchers in AI deployment and infrastructure
  • Universities teaching applied or systems-level AI

Why Choose BooksGoat?

  • Best Price: $59.99
  • Free Shipping: On all orders
  • Bulk Discounts: Available for labs, universities, and engineering programs
  • Worldwide Delivery: Tracked and secure

FAQs

Is this book for beginners?
No. It is designed for intermediate to advanced practitioners in AI systems engineering.
Does it include deployment examples?
Yes. It includes mission-driven case studies from MIT Lincoln Laboratory.
Is it math-heavy?
Moderately. Focus is on architecture and systems engineering rather than pure theory.

Final Call – Buy Now

Artificial Intelligence: A Systems Approach is one of the most advanced engineering guides available for real-world AI deployment. Order from BooksGoat for $59.99. Free shipping worldwide.