Description
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—from model creation to endpoint security—ensuring that AI systems are both effective and resilient.
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.
What you will learn in Defending and Deploying AI:
- AI-based programming, networking, and cybersecurity
- Securing generative AI
- Building your own AI lab
- AI agents and agent-driven RAGs for cybersecurity
- And…
Course specifications
Publisher: Oreilly
Instructors: Omar Santos
Language: English
Level: Intermediate
Number of Lessons: 141
Duration: 14 hours and 59 minutes
Course topics
Defending and Deploying AI Prerequisites
None
Pictures
Defending and Deploying AI introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: English
Quality: 720p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
2.7GB
