MLOps on Azure

7 oktober, 2024Amsterdam, The Netherlands

2 days
In Person
Azuur
GitHub
Machine Learning
Microsoft

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!

Book this training

Registreer je nu

Looking to upskill your team(s) or organization?

Rozaliia will gladly help you further with custom training solutions.

Rozaliia Khafizova
Data and AI Training Advisor


+31 6 11 58 19 37

Rozaliia.Khafizova@xebia.com
linkedin.com/in/rozaliya-k

Get in touch

Duur

2 days

Tijd

09:00 – 17:00

Taal

English

Lunch

Included

Certificering

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
  • Creating a solution design
  • Data versioning, environments and compute targets
  • ML training jobs
  • Experiment tracking

This training is for you if:

You already have a solid understanding of ML, and want to take your models outside of the development phase

You want to incorporate best practices from Software Engineering

You already have foundational software engineering skills (Python, Git, Docker)

You want to learn more about the cloud and MLOps

This training is not for you if:

You want to learn how to develop ML models (check out the Certified Data Science with Python or the Advanced Data Science with Python trainings)

You do not have basic programming experience (check out our Python for Data Analyst course)

You want to learn general methods for developing production-ready applications without focusing on a specific public cloud  (check out our Production-Ready Machine Learning course)

Your primary interest is in (exploratory) research; this course is geared towards ML engineering

You are interested in a different cloud service (check out our MLOps on GCP or our MLOps on AWS 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

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