Chapter 1
Defines what makes an AI agent, breaks down the Agentic Loop and its core components, and builds the business case for edge autonomy.
Chapter 2
Explores real-world agentic edge AI applications across industrial, smart city, healthcare, and sovereign environments.
Chapter 3
Introduces multi-agent systems and compares hierarchical and collaborative architectures through detailed case studies.
.png)
Chapter 4
Covers the engineering required to fit autonomous intelligence onto edge hardware, from model optimization to production validation.
.png)
Chapter 5
Maps the three-layer deployment architecture for getting agents into the real world safely and at scale.
Chapter 6
Looks ahead at swarm intelligence, neuro-symbolic agents, and continual learning, then addresses accountability, oversight, and emerging hardware trends.
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.