Certificate in Edge AI for
-- ViewingNowThe Certificate in Edge AI is a comprehensive program designed to equip learners with essential skills in Edge Artificial Intelligence. This course highlights the importance of deploying AI models on edge devices, reducing latency, and conserving bandwidth.
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⢠Introduction to Edge AI: Understanding the basics of Edge AI, its differences from Cloud AI, and its potential use cases.
⢠Edge Devices and Hardware: Exploring various edge devices, their capabilities, and how they can be used for Edge AI.
⢠AI Algorithms for Edge Computing: Diving into AI algorithms optimized for edge computing, such as TinyML and quantization.
⢠Data Management at the Edge: Learning about data processing, storage, and transmission at the edge, including data privacy and security considerations.
⢠Computer Vision for Edge Devices: Understanding the implementation of computer vision models on edge devices, including object detection and image recognition.
⢠Natural Language Processing (NLP) on Edge Devices: Examining the possibilities of NLP techniques on edge devices for applications like voice assistants and sentiment analysis.
⢠Edge AI Implementation and Deployment: Hands-on experience with deploying Edge AI applications on real-world devices.
⢠Evaluating Edge AI Performance: Metrics and tools for measuring the efficiency and effectiveness of Edge AI applications.
⢠Future Trends in Edge AI: Exploring emerging trends and innovations in Edge AI, including 5G, IoT, and smart cities.
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