Building AI Products: Security Essentials Professional Certificate by LinkedIn Learning
Artificial intelligence demands robust security safeguards to protect against emerging threats. These courses teach critical AI security skills including data governance, secure architecture, incident response, and comprehensive testing methodologies. You'll gain the expertise needed to build and maintain secure AI products in today's complex technology landscape. Tune in, pass the final exam, and earn your certificate.
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Implement data security frameworks for AI product protection.
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Identify security vulnerabilities in AI system architecture.
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Analyze AI security incidents for effective response.
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Develop comprehensive test plans for AI system validation.
Courses
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1
Welcome to the "Building AI Products: Security Essentials" Professional Certificate7mWelcome to the "Building AI Products: Security Essentials" Professional Certificate
By: Meghan Maneval
This course provides an overview of the "Building AI Products: Security Essentials" learning path.
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2
AI Product Security: Building Strong Data Governance and Protection1h 3mAI Product Security: Building Strong Data Governance and Protection
By: Meghan Maneval
Establish and manage robust data security and governance frameworks to protect AI systems, ensure compliance, and mitigate security risks throughout the AI product lifecycle.
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3
AI Product Security: Secure Architecture, Deployment, and Infrastructure2h 19mAI Product Security: Secure Architecture, Deployment, and Infrastructure
By: Sam Sehgal
Gain the knowledge and skills you need to secure AI products, including threat mitigation, data and model protection, secure deployment, and ongoing system monitoring.
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4
AI Product Security: Incident Response1h 31mAI Product Security: Incident Response
By: Malcolm Shore
Learn about the kind of events which lead to AI incidents, how to respond to them, and how to communicate effectively through the response.
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5
AI Product Security: Testing, Validation, and Maintenance2h 24mAI Product Security: Testing, Validation, and Maintenance
By: Malcolm Shore
Master AI security testing through the use of industry tools, from crafting effective test cases to executing red team assessments that validate your AI system's defenses.