Advanced8h 12m4 modules · 17 leçons0 inscrits

Real-Time Video AI

Build video AI systems that keep pace in production: streams and latency budgets, YOLO detection and multi-object tracking, TensorRT optimization, applications (counting, security, sport, augmented broadcast), then edge or cloud deployment, cost sizing, and GDPR compliance. Up to date with the 2026 state of the art — end-to-end NMS-free detection and promptable models. For practitioners who ship, not the merely curious.

Par Équipe Curriculum Nexus

99€

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Programme du cours

4 modules

01
Module
Foundations of Real-Time Video
What a video stream actually is to a machine: frames, FPS, codecs, latency, and the capture → inference → display pipeline. Before you analyze video, you need to understand what's flowing through the pipe.
4 leçons·1h 50

Module

Live Detection and Tracking

Put a model at the heart of the loop: detect objects at full frame rate with YOLO, wire up a real RTSP stream on the GPU, track objects across frames, and then speed the whole thing up to hold real time.

5 leçons·2h 22

Real-Time Video AI

Programme du cours

Foundations of Real-Time Video

Live Detection and Tracking

Real-Time Video Applications

Putting a Real-Time Video System into Production