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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.
Offered by SmartBridge60 hrs theory · 30 hrs practicalEnglishMs. Siri Chakkala
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.
Edge AI Software Developer, Edge Computing Engineer, Embedded AI Engineer, IoT AI Developer, Edge AI Solutions Architect
Certification
