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Chapter 1
Foundation and the Zero-Trust Mandate The constraint trinity, data sovereignty, the model-versus-machine split, and the 2026 compliance landscape that frames every edge security decision.
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Chapter 2
Real-World Defense Use Cases Four real deployments (hostile field, healthcare, critical infrastructure, sovereign data) showing what edge AI security looks like in practice.
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Chapter 3
Defensive Engineering and Model Protection Model-layer defenses: adversarial training, what gradient masking gets wrong, differential privacy, and the guardrail agent pattern.
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Chapter 4
Security Architecture and Implementation Hardware-rooted trust with TPM 2.0, model integrity and watermarking, the Model Context Protocol, and mutual TLS.
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Chapter 5
Secure Management and Operations Running it day to day: layered triage, signed OTA updates, confidential compute, and auditable signed logs.
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Chapter 6
Governance and the Next Frontier The horizon: post-quantum cryptography, privacy-safe radar sensing, and accountability for autonomous edge agents.
About the certification
The EDGE AI FOUNDATION created this certification in partnership with global thought leaders from both advanced academic institutions and leading technology companies. Together we are dedicated to advancing the science and technology of edge AI and supporting a global community. This certification will help provide valuable and practical knowledge as well as a digital certification to help you share your achievement.
The EDGE AI FOUNDATION
The EDGE AI FOUNDATION is the global hub for energy-efficient edge AI technologies. From tinyML to advanced computing, we’re transforming AI at the network’s edge. We unite industry leaders and researchers to drive innovation, solve global challenges, and democratize AI technologies.