{"id":12664,"date":"2026-08-10T10:48:43","date_gmt":"2026-08-10T10:48:43","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/oreilly-defending-and-deploying-ai-2025-9\/"},"modified":"2026-08-10T10:48:43","modified_gmt":"2026-08-10T10:48:43","slug":"oreilly-defending-and-deploying-ai-2025-9","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/oreilly-defending-and-deploying-ai-2025-9\/","title":{"rendered":"Oreilly \u2013 Defending and Deploying AI 2025-9"},"content":{"rendered":"
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Description<\/h2>\n

Defending and Deploying AI is an AI Innovation and Security training course published by Oreilly Online Academy. It is a comprehensive course that bridges the gap between AI innovation and security, teaching you how to develop, deploy, and securely protect AI systems in production environments. The course explores the full AI deployment cycle\u2014from model creation to endpoint security\u2014ensuring that AI systems are both effective and resilient.<\/p>\n

This course addresses critical aspects of AI deployment, including model optimization, scaling, and integration into real-world applications. Learners explore how to defend AI systems against adversarial attacks, data poisoning, and model theft, while ensuring AI compliance and ethical practices. The course covers MLOps workflows, secure APIs, containerization with Docker and Kubernetes, and continuous monitoring of AI performance and threats. The course also highlights secure model hosting, authentication, and encryption techniques to protect data pipelines and inference processes. By mastering these concepts, individuals will gain the skills necessary to confidently deploy robust AI solutions that maintain integrity, privacy, and reliability in production environments.<\/p>\n

What you will learn in Defending and Deploying AI:<\/h3>\n