Professional Certificate in Edge AI Basics
-- ViewingNowThe Professional Certificate in Edge AI Basics is a comprehensive course designed to equip learners with essential skills in Edge Artificial Intelligence (AI). This course emphasizes the importance of deploying AI models on devices, reducing response time, and conserving bandwidth.
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GBP £ 140
GBP £ 202
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โข Introduction to Edge AI: Understanding the basics of Edge AI, its importance, and how it differs from traditional AI systems.
โข Hardware for Edge AI: Exploring the various hardware components used in Edge AI devices, including sensors, microcontrollers, and System on Chips (SoCs).
โข Software for Edge AI: Learning about the different software frameworks and tools used for developing Edge AI applications, such as TensorFlow Lite and OpenMV.
โข Data Collection and Processing: Understanding the methods for collecting and processing data in Edge AI systems, including data preprocessing, feature engineering, and data compression.
โข Machine Learning Models for Edge AI: Examining the various machine learning models used in Edge AI applications, such as decision trees, support vector machines, and neural networks.
โข Optimizing Edge AI Models: Exploring techniques for optimizing machine learning models for deployment on Edge AI devices, including model compression, quantization, and pruning.
โข Security and Privacy in Edge AI: Understanding the security and privacy concerns associated with Edge AI systems, and learning about the best practices for protecting user data and ensuring privacy.
โข Deployment and Maintenance of Edge AI Systems: Learning about the different methods for deploying and maintaining Edge AI systems, including over-the-air updates, remote monitoring, and fault tolerance.
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