Academy

Corso · 4 capitoli

On-Device & Edge AI

Ship AI where the user is — Apple Foundation Models, Gemini Nano, MLX, distillation, and edge deployment patterns

A pagamentoadvanced4 capitoliInglese + 6 lingueCertificato al completamento
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Cosa saprai fare

  • A 12-minute orientation to the On-Device & Edge AI skill path — the three platforms where your model can run without a cloud round-trip, and how to pick yours.
  • Ship a capable ~3B LLM inside your iOS app — guided generation, tool calling, and when to still reach for Claude
  • Ship on-device AI to 140M+ Android devices — AICore as a shared system service, ML Kit GenAI APIs, and Gemma 4 agentic intelligence.
  • Run arbitrary open models on your Mac — unified memory, quantization that actually preserves quality, and the honest limits of a single-user inference node

Cosa contiene

  1. 1
    On-Device & Edge AI: Start Here

    A 12-minute orientation to the On-Device & Edge AI skill path — the three platforms where your model can run without a cloud round-trip, and how to pick yours.

  2. 2
    Apple Foundation Models for Swift Developers

    Ship a capable ~3B LLM inside your iOS app — guided generation, tool calling, and when to still reach for Claude

  3. 3
    Gemini Nano and AICore on Android

    Ship on-device AI to 140M+ Android devices — AICore as a shared system service, ML Kit GenAI APIs, and Gemma 4 agentic intelligence.

  4. 4
    MLX in Practice: Local Inference on Apple Silicon

    Run arbitrary open models on your Mac — unified memory, quantization that actually preserves quality, and the honest limits of a single-user inference node

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