Intro to MLOps with MLflow
Learn the basics of machine learning operations (MLOps) using MLflow.
What will I learn?
- Gain an understanding of what MLOps is, who needs it and why.
- Learn how to build, deploy and monitor machine learning systems that are stable, efficient and reproducible.
- Design and build a complete MLOps workflow using MLflow.
- Get hands-on experience with MLflow.
Course Curriculum
MODULE 1
Intro to MLOps
Learn how the new field of MLOps brings together concepts from the fields of DevOps and Data Engineering to apply them to the machine learning model life cycle.
MODULE 2
Intro to MLflow
Learn about the different components of the MLflow library. Become familiar with the tools that are typically used with MLflow for versioning, orchestration, parameter optimization, model serving and monitoring.
MODULE 3
Capstone Project
With your instructor's guidance, use what you've learned in this class to design an end-to-end MLOps workflow using MLflow.
Live, Online, Instructor-Led
Learn face-to-face in live online sessions with your instructor and peers from anywhere in the world.
Hands On
All our trainings involve in-class, hands on practice that is relevant to your team's goals. At the end of the training, your team will be ready to hit the ground running.
Elite Instructors
Learn from an elite team of industry experts who have taught at universities such as Harvard, and have trained teams at companies such as ANZ Bank.
Help When You Need It
Forget about the frustration of getting stuck while watching online videos. Our instructors are here to help in-between sessions, so you can have a smooth learning experience.
Frequently Asked Questions
Have a question?
Contact us any time, we’d love to hear from you!