Global Certificate in Edge AI and Machine Learning
-- ViewingNowThe Global Certificate in Edge AI and Machine Learning is a comprehensive course designed to meet the surging industry demand for AI and ML expertise. This course emphasizes the importance of deploying AI and ML models on edge devices, a critical skill in today's data-driven world.
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โข Introduction to Edge AI and Machine Learning: Fundamentals of Edge AI, Machine Learning, and their applications. Understanding the differences between Edge, Cloud, and Fog computing.
โข Data Acquisition and Preprocessing: Data collection methods, preprocessing techniques, and data wrangling for Edge AI and Machine Learning.
โข Computer Vision and Edge Devices: Image and video processing, object detection, and computer vision algorithms for Edge AI devices.
โข Natural Language Processing (NLP) on the Edge: Text processing, sentiment analysis, and NLP techniques for Edge AI devices.
โข Deep Learning for Edge AI: Neural networks, CNNs, RNNs, and deep learning models for Edge AI applications.
โข Edge AI Hardware and Software Platforms: Overview of popular Edge AI hardware and software platforms, including Raspberry Pi, Coral Dev Board, Intel Neural Compute Stick, and AWS DeepRacer.
โข Security and Privacy in Edge AI: Secure data transfer, encryption, and privacy-preserving techniques for Edge AI and Machine Learning.
โข Optimization Techniques for Edge AI: Model compression, quantization, and other optimization techniques for deploying Machine Learning models on Edge devices.
โข Real-World Edge AI Applications: Exploring real-world Edge AI applications in various industries, including automotive, healthcare, manufacturing, and retail.
โข Future Trends in Edge AI and Machine Learning: Emerging trends, challenges, and opportunities in Edge AI and Machine Learning.
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- BasicUnderstandingSubject
- ProficiencyEnglish
- ComputerInternetAccess
- BasicComputerSkills
- DedicationCompleteCourse
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- ThreeFourHoursPerWeek
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- TwoThreeHoursPerWeek
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