Hands-on MLOps at AI robotics challenge

The participants, consisting of developers, operations managers, architects, and students, had the opportunity to refine their coding skills, collaborate with peers, and explore real-world applications of MLOps. Teams of three were tasked with programming a Raspberry Pi-based remote control car equipped with a camera and distance sensor to navigate an office environment and locate a red fedora hat. The final challenge required teams to leverage edge computing, moving their code from the cloud directly onto the robot for autonomous operation.

"By working together to solve a real-world problem, participants gain a deeper understanding of the challenges and opportunities of MLOps, and they can also learn from each other's experiences. And, not to forget the most important part, everyone had so much fun while doing it," says Ted Henriksson.