Free course13 modules

Edge AI & Private Inference for Enterprise

Deploy AI where the data lives

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Built for CTOs, architects, product leaders, security engineers at enterprises deploying local AI

What you'll learn

Browser AIrun Gemma 4 E2B in a browser tab via WebGPU with zero server costs
QuantisationGPTQ, AWQ, GGUF and how to fit models on any hardware
On-device deploymentmacOS Metal, iOS CoreML, Android MediaPipe, Windows CUDA
Hybrid architecturesroute simple queries locally, complex queries to cloud with PII sanitisation
Privacy patternsthe gateway, federated RAG, and compliance mapping for GDPR/HIPAA/ITAR
Offline-first AIserving the 80% of workers without reliable internet

13 modules

1Why Edge AI Matters2Open Model Landscape3Quantisation for Edge4WebGPU & WebAssembly5In-Browser Inference6Browser RAG7Desktop & Mobile8On-Prem with vLLM9Hybrid Cloud-Edge10Privacy Architectures11Offline-First AI12Economics & ROI13Capstone Blueprint
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We'll design and deploy a private inference architecture for your organisation — browser, desktop, or on-prem — so your data never leaves your environment.

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