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Edge AI: Tools and Best Practices for Building AI Applications at the Edge
Summary
Get a comprehensive introduction to the unique features, benefits, common challenges, and best practices of building edge AI applications.
As edge devices like smartphones, cameras, and sensors become more powerful, the applications that manage them are moving from the cloud to edge. More and more AI models are now deployed on these devices in an attempt to reduce latency and secure greater levels of privacy. As a result, the AI community needs to familiarize itself with how to successfully build edge AI applications. If you’re currently working on building AI applications in the enterprise or the cloud, or just looking to expand your existing skill set, this course is designed to help you get up to speed with exciting new developments in machine learning applications. Along the way, instructor Kumaran Ponnambalam covers a handful of real-world edge AI use cases drawn from industries such as retail, healthcare, transportation, manufacturing, and more. Note: This course requires a basic working knowledge of machine learning processes, practices, and applications.