AI/ML Ops

3 units

This course provides students with an advanced understanding of artificial intelligence (AI) and machine learning operations (MLOps). It focuses on the end-to-end lifecycle of AI/ML models, from development to production, covering data engineering, model training, deployment, monitoring, and continuous integration/continuous deployment (CI/CD). Students will learn best practices for scaling AI/ML workflows, building pipelines, monitoring models in production, and managing versioning and reproducibility. Students taking this course should have foundational knowledge of AI/ML algorithms, basic programming skills (Python, Bash scripting), and introductory knowledge of DevOps (containers, CI/CD pipelines). A working knowledge of Databricks Community Edition would also be helpful.