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Edge AI for Beginners

8 hours ago
https://github.com/microsoft/edgeai-for-beginners
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  • #MachineLearning
  • #EdgeAI
  • #ArtificialIntelligence
  • Steps to get started with EdgeAI for Beginners: Fork and clone the repository, join the Azure AI Foundry Discord.
  • Course covers Edge AI from fundamentals to production, including Small Language Models (SLMs), hardware optimization, real-time inference, and deployment strategies.
  • Edge AI benefits: Privacy & security, real-time performance, cost efficiency, resilient operations, and regulatory compliance.
  • Edge AI defined: Running AI locally on devices for low latency, privacy, and offline capability.
  • SLMs like Phi-4, Mistral-7B, and Gemma are optimized for edge deployment with reduced memory and compute demands.
  • Course modules include Introduction to EdgeAI, SLM Model Foundations, Deployment Practice, Model Optimization Toolkit, SLMOps Production, AI Agents, Platform Implementation, and Foundry Local Toolkit.
  • Hands-on projects: Local AI chat apps, RAG pipelines, multi-agent systems, model routers, and API frameworks.
  • Learning paths: Beginner (7-9 hours), Intermediate (9-11 hours), Advanced (12-15 hours), Expert (8-10 hours).
  • Applications in manufacturing, healthcare, autonomous vehicles, smart cities, and mobile apps.
  • Additional resources: Study guides, translations, and links to other beginner courses.
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