Introduction to MLOps
MLOps (Machine Learning Operations) combines machine learning, software engineering, and DevOps to reliably build, deploy, monitor, and maintain ML models in production. This 3-half-day event covers the entire MLOps pipeline with interactive lessons and hands-on labs.
mlops
machine_learning
devops
difficulty:
intermediate
maturity:
beta
MLOps (Machine Learning Operations) is the set of practices that combines machine learning, software engineering, and DevOps to reliably build, deploy, monitor, and maintain ML models in production. It focuses on automation, reproducibility, and governance across the entire ML lifecycle. This event combines interactive lessons with a hands-on lab where participants will apply ideas from the course in practice.
Key takeaways:
- Understand the high-level processes involved in MLOps
- Learn the key steps in the MLOps process
- Focus on automation, robustness and reproducibility
- Hands-on experience with implementing MLOps using open-source tools (git, MLFlow)