Library/edgeai-for-beginners
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microsoft/edgeai-for-beginners

edgeai-for-beginners

This course is designed to guide beginners through the exciting world of Edge AI, covering fundamental concepts, popular models, inference techniques, device-specific applications, model optimization, and the development of intelligent Edge AI agents.

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Microsoft

Microsoft

microsoft • big-tech

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Created

Jun 27, 2025

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README Summary

This is a comprehensive beginner-friendly course by Microsoft that introduces Edge AI concepts, covering everything from fundamental principles to practical implementation. The course includes lessons on popular AI models, inference techniques, device-specific applications, and model optimization for edge computing environments. It provides hands-on learning through Jupyter notebooks to help developers build intelligent Edge AI agents.

AI Dev Skills

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Model OptimizationEdge AI DevelopmentAI Model InferenceDevice-Specific AI ApplicationsIntelligent Agent DevelopmentMachine Learning FundamentalsModel QuantizationNeural Network Compression

Tags

Model OptimizationEdge AI DevelopmentAI Model InferenceDevice-Specific AI ApplicationsIntelligent Agent DevelopmentMachine Learning FundamentalsModel QuantizationNeural Network CompressionEdge Device AI DeploymentMobile ComputingLocal AI Model InferenceMultimodalEdge ComputingEfficient AIOn-deviceAI Education and TrainingOn-device AIEmbedded SystemsEducationEdge/MobileResource-Constrained AI ApplicationsModel CompressionIoTOn-Device Intelligence DevelopmentJupyter Notebook

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Updated 2 months ago

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beta
Quality
medium
Maturity
beta

Categories

Foundation ModelsPrimaryMultimodal AIEdge & Mobile AIOther AI / MLDev Tools & AutomationInference & ServingData Science & AnalyticsModel Training

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Jupyter Notebook100.0%

Timeline

Project created
Jun 27, 2025
Forked
Mar 23, 2026
Your last push
2 months ago
Upstream last push
7 days ago
Tracked since
Feb 6, 2026

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