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AI Security

AI Security Practitioner

Identify, model, test, and govern security risks across models, agents, supply chains, and AI-enabled applications.

FamilyAI and Local Infrastructure
LevelFoundational to intermediate
Courses13
Estimated time3.25-4.3 hours
Audience

Application security engineers, AI platform engineers, Security architects

Outcome

Identify, model, test, and govern security risks across models, agents, supply chains, and AI-enabled applications.

Ordered sequence

Courses in this path

13 courses
Course 0110 modules
AI Governance

Open course in the AI Security catalog: AI Governance.

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Course 0210 modules
AI Security Architecture

Open course in the AI Security catalog: AI Security Architecture.

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Course 039 modules
LLM Threat Modeling

Open course in the AI Security catalog: LLM Threat Modeling.

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Course 048 modules
Prompt Injection

Open course in the AI Security catalog: Prompt Injection.

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Course 0510 modules
Prompt Injection Defenses in Python

Open course in the AI Security catalog: Prompt Injection Defenses in Python.

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Course 069 modules
AI Agent Security

Open course in the AI Security catalog: AI Agent Security.

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Course 0710 modules
Securing AI Agents

Open course in the AI Security catalog: Securing AI Agents.

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Course 0810 modules
AI Agent Security Patterns in Python

Open course in the AI Security catalog: AI Agent Security Patterns in Python.

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Course 0910 modules
Defending Against Agent Abuse

Open course in the AI Security catalog: Defending Against Agent Abuse.

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Course 1010 modules
AI Supply Chain Risks

Open course in the AI Security catalog: AI Supply Chain Risks.

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Course 1110 modules
Deepfakes and Synthetic Media

Open course in the OSINT catalog: Deepfakes and Synthetic Media.

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Course 1210 modules
Red Teaming AI Systems

Open course in the AI Security catalog: Red Teaming AI Systems.

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Course 1310 modules
Building an AI Pentesting Workstation

Open course in the AI Security catalog: Building an AI Pentesting Workstation.

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