Machine Learning on Azure

17
Oct 2024
 
18
Oct 2024
Training
17 October, 2024 to 18 October, 2024
09:00 to 17:00
2 Days
Brussels element61 office
1.350 €

As a data scientist, you might be interested in how to improve the development in an ML lifecycle and bring ML algorithms faster to production or overcome challenges with the current development cycle. In this 2-day course in Machine Learning on Azur,e we explain how you can develop and train your machine learning algorithms in Azure and Databricks at scale, MLOps principals to register and track ML models, and how to easily deploy and serve models. The course explains all the principles and is supported with practical exercises to cover the end-to-end ML lifecycle.

Course objective

The objective of this 2-day workshop is to learn how you can manage your end-to-end Machine Learning lifecycle in Microsoft Azure and Databricks.

Audience

  • You are a Data Scientist or Data Engineer interested in running ML on Azure
  • You are interested in learning how you can build and deploy ML in the Azure cloud
  • You want to know some best practices for running ML in Azure
  • You want hands-on exercises to learn how to do an end-to-end ML lifecycle management

Agenda

During this 2-day course, we’ll extensively cover Azure Databricks, Azure Machine Learning, and Azure DevOps for building and managing ML on Azure. The following topics will be covered in the course

Day 1

  • Recap - What is Machine Learning?
  • What are the advantages of performing ML in the cloud?
  • How can we start working in the cloud? What tools are available?
  • Walkthrough of Azure ML
  • Hands-on Machine Learning use case using pipelines & AutoML

Day 2

  • Deep dive into Databricks as an ML Analytics Platform
  • Hands-on Machine Learning use case using MLflow, AutoML & feature stores

The course offers technical training on these technologies as well. The hands-on sessions will help you to:

  • Create ML models in Azure Databricks (Python)
  • Create ML models in Azure Machine Learning (Python)
  • Register and track models with MLflow and Azure ML
  • Deploy models to Azure as APIs
  • Build CI/CD for ML model deployment
  • Deploy new model version through DevOps                   

Cost

  • 1.350 € per participant

Subscribe

For more information, contact academy@element61.be

The Azure Training schedule can be found here.

For a complete overview of all courses, visit our academy page.