MLOps on Azure
7 October, 2024 – Amsterdam, The Netherlands
Do you already have a solid understanding of Machine Learning and would like to take your models outside of the development phase? This MLOps on Azure training is then a perfect next step for you.
Learn more about the key principles of MLOps and the elements of an end-to-end Machine Learning system. Also, you will create Machine-Learning pipelines in Azure ML and deploy a CI/CD pipeline with GitHub Actions. And much more!
Looking to upskill your team(s) or organization?
Diego will gladly help you further with custom training solutions.
Diego Teunissen
Data and AI Training Advisor
Duration
3 days
Time
09:00 – 17:00
Language
English
Lunch
Included
Certification
No
Level
Professional
What 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 for your application using Application Insights
Create machine learning pipelines in Azure ML
Integrate and deploy all code through a CI/CD pipeline with Github Actions
Deploy your model as scalable API as Azure ML Endpoint or Azure Container Instance
Program
- Discover key MLOps principles
- How to design solutions for deploying models to the cloud
- Get started with cloud tooling
- Learn about training jobs and pipelines
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 Azure (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 trainings about a different public cloud than Azure. Check out our MLOps on GCP training and our generic MLOps training
Why should I do 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 Azure
What does it look like?
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!
Training information
All literature and course materials are included in the price
Information on the software and tooling will be shared before the start date
This course requires a laptop
Online courses are delivered via Zoom or Microsoft Teams
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