Edge ML
Deploying and running machine learning models on edge devices like smartphones, IoT sensors, and embedded systems.
1
Linked Jobs
0
Current Skill
1
Future-Proof
Why It Matters
Running AI at the edge enables real-time decisions without cloud latency, making engineers who can optimize and deploy models on constrained hardware essential for IoT, automotive, and mobile AI applications.
How to Get Started
Learn TensorFlow Lite or ONNX Runtime for mobile, deploy a model on an NVIDIA Jetson or Coral Edge TPU, and study model quantization and pruning techniques for edge deployment.
Future-Proof This Skill For
Build your Edge ML skills
Get a personalized 4-week action plan, AI prompts, and skills tracking in the app.
Download Free on iOS