This course provides a comprehensive foundation in AI product security, focusing on the unique challenges and risks associated with securing AI systems. Explore the AI threat landscape, from adversarial attacks to data poisoning, and gain practical skills in implementing proactive security measures throughout the AI product lifecycle. The course covers secure design principles, data security, and model protection, alongside strategies for continuous security monitoring and governance. By the end of the course, you will be equipped to build and maintain robust AI security frameworks for real-world applications, ensuring the integrity and safety of AI-driven products.
This course is part of the learning path Building AI Products: Understanding the Workflow Professional Certificate by LinkedIn Learning. Complete all courses and pass the final exam to earn a Professional Certificate you can add to your LinkedIn profile.
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