MLOps Training
During this training, we will cover the end-to-end process from notebook to production. You will learn how to apply MLOps principles such as continuous training, continuous deployment, and monitoring to build end-to-end solutions in one of the public clouds, like Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP).
Looking to upskill your team(s) or organization?
Diego will gladly help you further with custom training solutions for your organization.
Get in touchWhat will you learn?
After the training, you will be able to:
Understand all the necessary components in an end-to-end ML system
Set up monitoring dashboards for your application
Create machine learning pipelines in the cloud.
Integrate and deploy all code through a CI/CD pipeline
Deploy your model as scalable APIs
Program
- Key MLOps principles
- Creating a solution design
- Getting started with the cloud tooling
- Training jobs and pipelines
- Experiment tracking
This training is for you if:
Already have a solid understanding of ML, and want to take your models outside of the development phase
Want to incorporate best practices from Software Engineering
Already have foundational software engineering skills (Python, Git, Docker)
Want to learn more about the cloud and MLOps
This training is not for you if:
Want to learn more about developing ML models in itself, this knowledge is already assumed (check out the Certified Data Science with Python or the Advanced Data Science with Python trainings)
Do not have basic programming experience (check out our Python for Data Analyst course)
Want to learn in more general terms how to develop production-ready applications without working with a specific public cloud (check out our Production-Ready Machine Learning course)
Are mainly interested in doing (exploratory) research. This course is much oriented towards ML engineering
You are interested in focusing on Azure or GCP. Check out our MLOps on Azure and MLOps on GCP trainings
Why should I follow this training?
You will receive conceptual explanations and practical exercises from industry experts in a very interactive environment
Hands-on training with real life examples – learn today apply tomorrow!
Learn how to apply the best engineering practices to deploy machine learning applications on the cloud
What else
should I know?
After registering for this training, you will receive a confirmation email with practical information. A week before the training, the trainer will get in touch to ask you about any requirements you may have and any pre-course tasks you will need to do.
See you soon!
Course information
All literature and course materials are included in the price
After registering for this course, you will receive a confirmation email with practical information
This course requires a laptop
Online courses are delivered via Zoom or Microsoft Teams