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.
Intro to MLOps
Intro to MLflow
Live, Online, Instructor-Led
Learn face-to-face in live online sessions with your instructor and peers from anywhere in the world.
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.
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
This course is aimed at machine learning enthusiasts and experts who are looking to get hands-on experience building an MLOps workflow using MLflow. If you are a Data Scientist, Machine Learning Engineer, Software Engineer, DevOps Engineer or similar, this course is for you!
This is a live online course taught by an expert instructor via Zoom. It combines lectures with lots of hands-on exercises, as well as one or two larger projects that require participants to use their newly acquired knowledge to solve real-world problems.
Exercises and projects are chose to be relevant to the type of problems that your team encounters daily. Our goal is to deliver practical, immediately applicable knowledge, and to empower your team to hit the ground running after each training.
Of course! While we do offer a standard version of this course, we can also work with you to tailor the content such that it fits your team's priorities perfectly.
If you have other questions, or want to find out more about this course or other courses we offer, please ping us - we love questions! You can email us at email@example.com, or get in touch via the chat box below.
Have a question?
Contact us any time, we’d love to hear from you!