Explore machine learning risk mitigation techniques for deploying, monitoring, and recalibrating models in the post-pandemic era. Delve into industry-specific use cases, focusing on supply chain, retail, travel, hospitality, and automotive sectors impacted by COVID-19. Examine examples from traditional machine learning and reinforcement learning, while gaining insights into strategic business actions and ethical practices in MLOps. Learn to develop automated AI/ML models that address technical and business challenges in the post-COVID world, with emphasis on smart, intelligent, and ethical approaches to machine learning optimization.