Chapter 1
Recaps edge AI fundamentals and introduces the generative AI landscape, from tokens and model families to the economics driving inference to the edge.
Chapter 2
Walks through real-world generative AI scenarios in manufacturing, retail, and accessibility at the edge.
Chapter 3
Explores model reasoning tiers, hybrid edge-cloud design patterns, and operational frameworks for production deployments.
Chapter 4
Breaks down generative model architecture and the full optimization toolkit, from quantization and caching to LoRA and RAG.
Chapter 5
Maps the edge hardware landscape and covers runtime selection, security, fleet management, and edge-cloud economics.
Chapter 6
Looks ahead at multimodal models and emerging hardware, then covers responsible AI practices, guardrails, and regulatory compliance.
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.