Building AI Agents for Engineers: Best Practices for Product Development - Image 1

£101.53

HANSER FACHBUCHVERLAG Building AI Agents for Engineers: Best Practices for Product Development

Name: Building AI Agents for Engineers: Best Practices for Product Development
Brand: HANSER FACHBUCHVERLAG
Price: 101.53 GBP
Availability: InStock

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Description

While rule-based automation follows predefined instructions to perform repetitive tasks, AI agents act autonomously and are able to make decisions in complex, dynamic situations. This book shows how to build AI agents for product development, particularly hardware development. It is aimed at development engineers, designers and engineering managers. The book covers the following topics: - Basic principles and architectures of agentic systems - Technological components of agentic systems: frameworks and patterns for designing agents as well as interfaces to CAx, PLM, and ERP systems - Governance, change management, and role responsibilities - Outlook: vision of an Autonomous Data Pipeline Step by step, the books demonstrates how AI agents can be developed by using low-code platforms. It also considers Multi-Agent Systems (MAS). MAS go one step further by combining several AI agents that interact with each other to achieve common or individual goals. The book provides criteria for selecting pilot projects and guides you through the project phases of the implementation. Use cases from the industry-from automotive tier suppliers to consumer goods OEMs up to engineering service providers-provide valuable practical insight. They show how AI agents can reduce costs in product development and provide a competitive advantage through shorter time-to-market cycles.

Product Specifications

Brand: HANSER FACHBUCHVERLAG
Format: hardcover
ASIN: 1569905622
Category: Books > Subjects
Domain: Amazon UK
Release Date: 14 August 2026
Listed Since: 22 April 2026

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HANSER FACHBUCHVERLAG Building AI Agents for Engineers: Best Practices for Product Development

New to our records — first sighting 24 days ago. We'll learn its rhythm.

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