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📱 Topic 43: Edge Deployment — Mobile, IoT, Browser

Course: AI Infrastructure — Section 5: Model Serving & Inference Topic: 43 of 70 | Prev:…

Overview
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📱 Topic 43: Edge Deployment — Mobile, IoT, Browser — Quick Facts

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Prev: [42-Batching-Caching.md](42-Batching-Caching.md): Next: 44-LLM-Serving.md

Topic 1
📥 📥 🧠 🔬 💡 🎯

🎯 Overview

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Edge AI = ML models directly…

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Cloud nahi = low latency, offline…

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Challenges: limited memory,…

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Tools: TF Lite, CoreML, ONNX…

Topic 2
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🏗️ Edge vs Cloud Architecture

💡 ` ┌──────────────────────────────────────────────────────────────┐ │ CLOUD INFERENCE EDGE…
Topic 3
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🐍 Complete Python Implementation

🎯 `python ============================================================ Edge AI Deployment —…
Topic 4
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📊 Edge Framework Selection

⭐ | Target | Recommended | Alternative | |--------|------------|-------------| | Android |…
Topic 5
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❓ Quiz — 5 MCQs

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A) Better accuracy

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B) Low latency + privacy + offline…

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C) Bigger models

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D) More compute

Topic 6
📥 📥 🧠 🔬 💡 🎯

🔗 Navigation

✨ ⬅️ Previous: 42-Batching-Caching.md | ➡️ Next: 44-LLM-Serving.md Pro Tip: 📱 Edge AI…
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