Qualcomm Academy launches AI edge certification with Arduino UNO Q
Key Takeaway
Qualcomm Academy's new paid certification program teaches end-to-end ML deployment on the Arduino UNO Q through three hands-on edge AI projects.
Summary
Qualcomm Academy has introduced the AI Associate Certification: Model to App, a self-paced online program built around the Arduino UNO Q board. The approximately five-to-six-hour course covers the full machine learning workflow through three projects: wake word detection, person recognition, and gesture recognition. Participants work with model quantization, FastRPC communication, and on-device inference. The program targets developers with basic Python and PyTorch knowledge and requires purchase through Qualcomm Academy.
What the certification covers
- Three project-based modules: voice (wake word detection), vision (person recognition), and sensor (gesture recognition via IMU)
- Covers full ML lifecycle: data preparation, model creation, training, validation, quantization, deployment, and application integration
- Uses Arduino UNO Q as the target hardware for on-device inference
- Includes optimization tradeoff analysis between accuracy, latency, and power consumption
- Introduces FastRPC communication for AI workloads and AI development toolchains
- Prerequisites: basic Python, IDE familiarity, introductory PyTorch and ML concepts, or equivalent foundational certification
Original reference: blog.arduino.cc →