In the 'AI Security Engineer Bootcamp,' you will learn to identify and defend against critical AI model threats such as prompt injection, data poisoning, and adversarial attacks. This comprehensive course prepares you to secure modern artificial intelligence applications by performing hands-on threat modeling using the MAESTRO framework for agentic AI systems. You will master the skills needed to detect and mitigate security risks across frontends, backends, and middle-layer (MCP) architectures, as well as how to apply AI governance frameworks like the NIST AI RMF.

AI Security Engineer Bootcamp
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Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
8 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Identify and defend against AI model threats like prompt injection, poisoning, and adversarial attacks.
Perform hands-on threat modeling for agentic AI systems using the MAESTRO framework.
Detect and mitigate security threats across AI frontend, backend, and middle-layer architectures.
Skills you'll gain
- Threat Management
- Machine Learning
- AI Security
- Security Controls
- Threat Modeling
- Data Security
- Artificial Intelligence and Machine Learning (AI/ML)
- Threat Detection
- Agentic systems
- Security Engineering
- IT Security Architecture
- Generative AI
- Application Security
- Risk Management Framework
- Governance Risk Management and Compliance
- Interviewing Skills
Details to know

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Recently updated!
November 2026
Assessments
7 assignments
Taught in English
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There are 8 modules in this course
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