I completed the Machine Learning in Production certification by Andrew Ng!

I completed the Machine Learning in Production certification by Andrew Ng! 🎓

The Machine Learning in Production course highlighted how building reliable ML systems requires far more than training models. It emphasized the importance of data-centric development, systematic error analysis, and treating ML as an iterative pipeline spanning scoping, data, modeling, and deployment. I also learned how to monitor models under data and concept drift, evaluate performance beyond average accuracy, and design robust ML pipelines. Through hands-on exercises, I deployed computer vision models with Docker and AWS and explored how dataset composition and labeling strategies affect performance. Coming from a background in medical imaging pipelines, these lessons reinforced the importance of data quality and engineering discipline in building trustworthy AI systems. I’m looking forward to continue applying these principles — and many of Andrew’s practical tips — when building robust and reproducible AI systems. Certificate Here!