Learn about blue/green deployment in MLOps, its usefulness and when to use it, and the cost and complexity of maintaining two separate environments

Learn about the different roles in MLOps and the responsibilities of each role, including Model Deployment Engineer, Data pipeline Engineer, Model Monitoring Engineer, Model Governance Engineer, Machine Learning Infra Engineer and Machine Learning Platform Engineer.

Discover the future of MLOps specializations, including Explainable AI/MLOps, Federated Learning/Edge MLOps, Reinforcement Learning/MLOps, AI/ML in IoT and IIoT, Model Explainability and Fairness.

Is a career in MLOps right for you? Learn about the pros and cons of this growing field, including high demand, high earning potential, exciting work, and career growth opportunities.