The Cranium AI Security Professional Learning Path combines two in-depth certification programs—the AI Security Certification and the AI Red Team Certification—to give learners a comprehensive understanding of how to protect, evaluate, and govern AI systems. You’ll start by building foundational knowledge in AI security principles, threat vectors, and attack mitigation techniques. Then, you’ll advance into specialized training in AI red teaming, learning how to simulate adversarial attacks, identify vulnerabilities, and improve the resilience of AI-enabled systems. This learning path equips professionals with the practical skills and frameworks needed to assess AI risk, meet regulatory expectations, and contribute to secure and trustworthy AI development.

The Cranium Responsible AI Developer Learning Path provides developers with the specialized knowledge and hands-on skills needed to build secure, ethical, and effective AI systems. This path builds on the foundational AI Security and AI Red Team certifications from the AI Security Professional Learning Path, combining that essential security knowledge with targeted technical training. You'll dive into AI Agents to understand autonomous system architectures, security considerations, and implementation strategies. The specialized course is paired with a practical workshop where you'll apply what you've learned through real-world scenarios and technical exercises. This comprehensive learning path equips developers with both the security foundations and advanced technical expertise needed to create AI applications that balance innovation with security, ensuring your implementations are both powerful and responsible from the ground up.