Master the art of embedding AI into robotic platforms. From hardware selection and model optimization to real-time inference on edge devices, bridge the gap between perception and deployment.
Register now to attend the upcoming live interactive Bootcamp.
This intensive bootcamp is designed for AI engineers, embedded systems developers, and robotics integrators building the next generation of intelligent robots. The program transitions from theoretical selection of compute platforms (CPU/GPU/NPU) to live demos of model optimization and a hands-on inference lab. Participants will move through the entire lifecycle of robotic perception, ensuring they can deploy efficient, real-time pipelines on resource-constrained hardware.
By the end of this session, you will have built a deployable perception pipeline optimized for an embedded compute platform. You will also receive a comprehensive production deployment checklist covering model governance, updates, and performance monitoring.
A structured roadmap from hardware selection to hands-on edge deployment.
Overview of edge compute options and the criteria for selecting the right model architectures for robotic vision.
Technical session on quantization and pruning techniques to reduce model size without sacrificing critical accuracy.
Learning the patterns required to connect perception outputs to robotic control systems with minimal latency.
Hands-on lab focusing on the optimization and deployment of a tiny vision model on a target edge device.
Current requirements for professionals in the intelligent systems space.
The ability to run complex inference within strict power and thermal envelopes.
Developing models that handle occlusions, varying lighting, and sensor noise.
Bridging the gap between high-level ML frameworks and low-level hardware runtimes.
"The hands-on lab was exceptional. Moving from a bloated Python model to an optimized edge runtime was exactly what I needed for my current project."
"Finally, a bootcamp that talks about hardware constraints and NPU utilization instead of just training models in the cloud."
"The deployment checklist alone is worth the time. It highlights critical production issues often ignored in standard tutorials."
LIVE SESSION
LIVE SESSION
LIVE SESSION
Pantech Bootcamps
