Why Analog Data exists
Most embedded and edge AI content stops at the point where things get real — the notebook runs, the demo works, and then the tutorial ends. What's missing is everything after that: getting a model onto actual hardware, handling the constraints real devices impose, and shipping something that keeps working outside a controlled demo.
Analog Data was started to close that gap — courses and training built around one complete, deployed project at a time, not disconnected exercises.
What we actually do
Two things: self-paced courses for individual engineers, and live corporate training for teams. Both follow the same standard — real hardware, real deployment, and a system you can point to and explain, not just a certificate.
Based in Bengaluru, building for engineers in India's embedded and edge AI space and beyond.