July 2027
Intermediate to advanced
500 pages
2h 30m
English
Overview
Generative AI is quickly becoming essential infrastructure for business. But while building a single AI-powered app is relatively simple, creating a platform that allows multiple teams to build, deploy, and maintain agents—securely, reliably, and at scale—is a far greater challenge. Too often, organizations add GenAI capabilities to existing systems without a strategic plan. The result? Cost overruns, governance blind spots, and stalled adoption.
In Building AI Agent Platforms, Ben O'Mahony and Fabian Nonnenmacher present a complete roadmap for doing it right. Blending strategic vision with deep engineering expertise, they guide you through the full agent lifecycle, from investing in the appropriate GenAI capabilities and defining your architecture, to production, observability, and security guardrails. With practical patterns, deployment strategies, and troubleshooting techniques, this book helps platform, MLOps, and DevOps teams, as well as CTOs and engineering leaders, build sustainable AI platforms that deliver value from day one and evolve with your organization's needs.
- Decide which AI agent platform capabilities to invest in and when to do so
- Architect for scalability, governance, and performance from the start
- Build, deploy, and operate core platform components
- Troubleshoot production issues and optimize for cost and speed
- Empower teams to create secure, reliable GenAI applications at scale
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