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.

Implement data security frameworks for AI product protection.
Identify security vulnerabilities in AI system architecture.
Analyze AI security incidents for effective response.
Develop comprehensive test plans for AI system validation.

Syllabus

Courses under this program:
Course 1: Welcome to the "Building AI Products: Security Essentials" Professional Certificate
-This course provides an overview of the "Building AI Products: Security Essentials" learning path.

Course 2: AI Product Security: Building Strong Data Governance and Protection
-Establish and manage robust data security and governance frameworks to protect AI systems, ensure compliance, and mitigate security risks throughout the AI product lifecycle.

Course 3: AI Product Security: Secure Architecture, Deployment, and Infrastructure
-Gain the knowledge and skills you need to secure AI products, including threat mitigation, data and model protection, secure deployment, and ongoing system monitoring.

Course 4: AI Product Security: Incident Response
-Learn about the kind of events which lead to AI incidents, how to respond to them, and how to communicate effectively through the response.

Course 5: AI Product Security: Testing, Validation, and Maintenance
-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.