AI Lifecycle Management

This course covers the five key stages of AI Lifecycle Management: prioritization and planning, understanding the data, building through agile sprints, deploying the model, and managing the model to establish trust. It emphasizes the importance of human involvement throughout these stages and highlights the benefits of MLOps in optimizing AI model deployment and management for efficiency, scalability, and regulatory compliance.