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Intro to MLOps with MLflow

Learn the basics of machine learning operations (MLOps) using MLflow.

Intro to MLOps with MLflow
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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.

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 Qualcomm.

Tailored content

We customize training content to match your team's goals. During training, your team works on projects that are relevant to your business.

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.

On site and live online

Choose whether you prefer in-person training, or you need the online participation of a geographically distributed team.

REQUIREMENTS:

Python programming skills and familiarity with basic machine learning concepts are required. A general understanding of containers, orchestration and the software development life cycle is useful, but not necessary.

Frequently Asked Questions

1. Who is this course for?

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!

2. How is this course taught?

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.

3. Can you tweak the content of this course for my team?

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.

4. What if I have other questions?

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 protected], or get in touch via the chat box below.