This
course will teach you how to design, develop, and deploy secure and robust AI
systems. You will learn about the common risks, threats, and vulnerabilities of
AI, such as adversarial attacks, data poisoning, model stealing, and privacy
breaches. You will also learn how to apply various mitigation strategies and
best practices, such as encryption, authentication, verification, and auditing.
You will gain hands-on experience in using various tools and frameworks for AI
security, such as TensorFlow Privacy, PySyft, and OpenAI Gym.
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