Master Course : Edge AI and Edge Computer vision (101 level)

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Master Course : Edge AI and Edge Computer vision (101 level)​

Edge AI and Edge Computer vision, Edge Computing, Artificial Intelligence, Tensorflow, Pytorch, Cloud Computing, ML

What you'll learn​

• Understand the principles of Edge AI and its applications in real-world scenarios.
• Gain insights into Edge Computer Vision and its role in processing data at the edge.
• Identify the essential hardware components required for efficient edge computing.
• Evaluate hardware choices to optimize performance and power consumption for edge devices.
• Comprehend the fundamental concepts of Edge AI and Edge Computer Vision.
• Analyze the benefits, strategic implications, and challenges associated with implementing Edge AI solutions.
• Explore various software frameworks used for developing Edge AI applications.
• Learn how to select and leverage appropriate software tools for efficient edge computing.
• Master the deployment process of Edge AI models in real-world scenarios.
• Examine case studies to understand successful implementations and best practices in edge AI.
• Stay updated on the latest trends and innovations in the field of Edge AI.
• Anticipate future directions and potential advancements that will shape the landscape of edge computing.

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