Machine Learning Operations (MLOps) is a set of practices that automates and simplifies the process of building, deploying, and maintaining machine learning models. It essentially bridges the gap between the development (Dev) phase of creating a machine learning model and the operations (Ops) phase of getting it to run smoothly in the real world.

Learners in this programme will acquire and master the basics of MLOps skills with the help of industry and academic experts through live lectures and various hands-on tools required for industry use cases. This programme will be a combination of practical learning (hands-on and experiential learning paradigms) and theoretical learning (live lectures). MLOps focuses on automating the entire workflow of building an ML model, including data collection, training, testing, deployment, monitoring, and retraining. This ensures a consistent and efficient process.

The global MLOps market is projected to grow from US$2.33 billion in 2025 to US$19.55 billion by 2032, exhibiting a CAGR of 35.5% during this period. Another report estimates the market to reach US$37.4 billion by 2032 with a CAGR of 39.3% from 2023.