KML Consulting
KML Consulting
Teach machines to see. In 6 weeks, master convolutions, modern visual transformers (ViTs), and learn to optimize these heavy models for execution on drones, cameras, and mobile phones.
Develop a real-time, edge-optimized defect detection system for a simulated factory line running inference at >30 frames per second on limited hardware.
An intense, week-by-week breakdown designed for deep technical mastery.
The basics of pixels, filters, and convolutions.
Build a custom CNN to classify manufacturing defects.
Locating and classifying multiple objects in real-time.
Train a custom YOLO model to detect specific retail products on shelves.
Pixel-perfect classification and Generative Adversarial Networks.
Develop a medical imaging model that segments tumors from MRI scans.
How attention mechanisms are taking over vision.
Fine-tune a ViT for a highly specialized classification task.
Making models run fast on small hardware.
Optimize and deploy your object detection model to run at 30fps on a Raspberry Pi / Jetson Nano.
Akiro spent 6 years deploying real-time object detection models to autonomous vehicles operating under heavy hardware constraints.
Secure your position in our next 6-week elite cohort. Limited slots available.
Commit to Mastery