This course offers a comprehensive introduction to Edge AI, focusing on fundamental concepts, popular small language models tailored for edge deployment, and hardware-aware optimization techniques. It covers real-time inference with privacy-preserving capabilities and strategies for production deployment across diverse platforms. Participants gain hands-on experience deploying AI models locally on various edge devices such as smartphones, embedded systems, and edge servers. The course emphasizes practical applications, preparing learners to design and implement efficient, privacy-conscious, and resilient AI solutions directly on edge hardware for real-world enterprise scenarios.
Intended audience
Edge AI Software Developer, Edge Computing Engineer, Embedded AI Engineer, IoT AI Developer, Edge AI Solutions Architect
Prerequisites
- BE/BTech, ME/MTech, Bsc, Msc, BCA, MCA
Assessment & certification
- Assessment fee: Included — no extra fee
- Assessment mode: Online proctored
- Assessment type: Others
- Assessment provider: Smartbridge
- Certificate provider: Edge AI Software Developer, Edge Computing Engineer, Embedded AI Engineer, IoT AI Developer, Edge AI Solutions Architect
NCrF level: 6 (NCrF credit-eligible)
