MLOps Overview and Best Practices at DDAT for Data Scientists

The MLOps (Machine Learning Operations) course provides a comprehensive overview of managing the model lifecycle at scale, emphasizing robust processes for data, codes, models, and system environments. It covers the CVS Health Model Lifecycle standard, detailing the seven key stages and requirements, for AI practitioners. Generative AI is an evolving field impacting a wide range of use cases and industries. Effective management of Generative AI models through MLOps requires incorporating additional components and considerations. These include, but not limited to, prompt management, foundation models, enhanced human oversight, and more extensive evaluation metrics for data, model, system, security and ethical measures. By managing AI and ML models through MLOps, organizations can ensure that their AI solutions and applications are robust, reliable, and maintainable throughout their lifecycle.