Free education for offensive and defensive AI security professionals and enthusiasts
Comprehensive courses covering offensive and defensive AI security
Build a solid foundation in AI security concepts, vulnerabilities, and best practices.
Learn to identify, analyze, and prioritize threats in AI systems.
Master offensive techniques to test and break AI systems ethically.
Evaluate and audit AI systems for security, compliance, and risk.
Secure autonomous AI agents and multi-agent systems.
Professional certifications to validate your AI security expertise
The GIAC AI Security Professional certification validates practitioners' knowledge of securing AI/ML systems, covering threat modeling, adversarial attacks, and defensive strategies.
Format: 75-115 questions, 3 hours
Prerequisites: Experience in security and AI/ML
Cost: ~$2,499
Comprehensive certification covering AI security principles, LLM security, prompt injection defenses, and responsible AI implementation.
Format: Online exam, self-paced learning
Prerequisites: Basic security knowledge
Cost: Varies by provider
While focused on Azure AI services, this certification includes significant coverage of AI security, responsible AI, and secure AI deployment practices.
Format: Exam AI-102
Prerequisites: Azure fundamentals recommended
Cost: $165 USD
While not AI-specific, OSCP is highly valuable for AI red teamers, teaching penetration testing methodologies applicable to AI system security testing.
Format: 24-hour hands-on exam
Prerequisites: Strong Linux and networking knowledge
Cost: ~$1,649
Comprehensive program covering AI/ML engineering with modules on security, scalability, and production deployment of AI systems.
Format: 6 courses, self-paced online
Prerequisites: Basic programming knowledge
Cost: Coursera subscription (~$49/month)
Gold-standard security certification with coverage of emerging technologies including AI security, risk management, and security architecture.
Format: 125-175 questions, 4 hours
Prerequisites: 5 years security work experience
Cost: $749 USD
Demonstrates proficiency in building ML models with TensorFlow, including security considerations for model development and deployment.
Format: 5-hour coding exam
Prerequisites: Python and ML basics
Cost: $100 USD
Validates expertise in building, training, and deploying ML models on AWS with emphasis on security, monitoring, and operational excellence.
Format: 65 questions, 180 minutes
Prerequisites: AWS and ML experience recommended
Cost: $300 USD
Select certifications that align with your desired role: offensive (red team), defensive (blue team), or AI engineering with security focus.
Pair AI-specific certifications with general security certs (CISSP, OSCP) for comprehensive expertise.
Complement certifications with practical experience through our labs, CTF challenges, and real-world projects.
AI security evolves rapidly. Maintain certifications through continuing education and stay updated with latest threats.
Stay updated with the latest research, tools, events, and news
Find your next career opportunity in AI security
The AI security field is rapidly growing with high demand for professionals skilled in securing AI systems, red teaming LLMs, and ensuring responsible AI deployment. Browse current opportunities across major job boards:
Professional network with extensive AI security listings
Largest job board with comprehensive AI security positions
Startup jobs in AI security and ML safety
Jobs with company reviews and salary insights
Direct applications to leading AI security teams
Academic and research positions in AI security
Specialized cybersecurity job boards
Complete our courses in AI Red Teaming, Threat Modeling, and Risk Assessment to gain practical experience.
Follow AI security research, attend conferences, and participate in CTF challenges to demonstrate expertise.
Join AI security communities, contribute to open-source projects, and engage with professionals on LinkedIn.
Consider relevant certifications like OSCP, CEH, or specialized AI/ML security training programs.
Learn from real-world AI security incidents and failures
The AI Incident Database catalogs real-world harms and near-misses caused by AI systems. Study these incidents to understand risks and improve AI security practices.
Visit AI Incident DatabaseData leaks, unauthorized access, model theft
Successful jailbreaks and prompt attacks
Malicious use of AI systems
Unexpected behaviors and vulnerabilities
AI Security Academy is a free, open-source educational platform dedicated to advancing the knowledge and skills of AI security professionals and enthusiasts worldwide.
We believe that AI security education should be accessible to everyone. As AI systems become increasingly integrated into critical infrastructure and everyday applications, the need for skilled security professionals who understand both offensive and defensive AI security has never been greater.
This is a community project. We welcome contributions from AI security researchers, practitioners, and enthusiasts. Visit our GitHub repository to contribute content, report issues, or suggest improvements.