AI Product Security: Secure Architecture, Deployment, and Infrastructure
With Sam Sehgal
Liked by 55 users
Duration: 2h 19m
Skill level: Intermediate
Released: 4/18/2025
Course details
In this course, Sam Sehgal—a cloud and application security leader—provides a thorough guide to building secure AI products, focusing on the unique security challenges in machine learning (ML) and large language models (LLMs). Learn how to safeguard AI systems across all stages of development, from data protection and secure coding to model and deployment security. Explore essential security frameworks, threat modeling, and mitigation strategies that can help you anticipate and defend against potential attacks. Dive into industry best practices for securing AI deployments, infrastructure, and the software supply chain. By the end of the course, you'll be equipped to apply logging, monitoring, and auditing techniques to maintain ongoing system security and compliance. Whether you're a developer, product manager, or security professional, this course prepares you with the skills to secure your AI products end-to-end.
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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Mohamed Wajeeth
Mohamed Wajeeth
Agentic AI Practice, Solutions Architect | 18+ Yrs Enterprise Tech | Built 12+ GenAI Solutions | Boosted Forecast Accuracy 43% | Delivered $3M+ AI…
Contents
What’s included
- Learn on the go Access on tablet and phone
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