Designing an ML Minded Product and a Product Minded ML System

This course focuses on designing and maintaining a machine learning-minded product and a product-minded machine learning system. The learning outcomes include understanding the considerations beyond implementing machine learning algorithms, creating sustainable machine learning systems, and launching machine learning products. The course teaches skills such as handling data considerations, addressing bias in ML models, testing and monitoring infrastructure, and troubleshooting. The teaching method involves sharing lessons learned from real-world applications. The intended audience for this course includes data scientists, machine learning engineers, product managers, and individuals interested in the intersection of algorithms, real-world applications, and product design.