AI Product Security: Testing, Validation, and Maintenance
With Malcolm Shore
Liked by 91 users
Duration: 2h 24m
Skill level: Intermediate
Released: 2/27/2025
Course details
This course focuses on the requirements for testing AI applications. It covers a review of the issues that can occur and the tools that are used to detect them. A formal testing management system is introduced with an example to show how it can be used to set up test cases and record the results of test runs. In addition, the course covers the use of AI red-team scanners and prompt/command injection tools that can be used to validate the existence and correct operation of guardrails in the AI model.
This course is part of the learning path Building AI Products: Security Essentials 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.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Share as image online to demonstrate your skill
Meet the instructor
Learner reviews
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Kalyana Sana
Kalyana Sana
Sr PMO Analyst @ QBE North America| Sr Technical Business Analyst | Data Analyst |PMP® | MCPS, MCTS: SQL Server 2008, Database Development
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Gopichand (Gopi) Palicherla, MBA, MS, CISM.
Gopichand (Gopi) Palicherla, MBA, MS, CISM.
Technology Servant Leader | IT Infrastructure | Public Cloud | Cybersecurity
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Dat Ngo, Ph.D.
Dat Ngo, Ph.D.
Product Management | Systems Architect | Systems Engineer | Photonics | Optical Transport Network Design | DWDM | Optical Engineering | Security |…
Contents
What’s included
- Practice while you learn 1 exercise file
- Test your knowledge 5 quizzes
- Learn on the go Access on tablet and phone
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