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Description

Our 5-day Microsoft Azure Machine Learning training course is designed to offer a complete immersion in the use of Azure tools and services for the development of machine learning solutions. Participants will learn how to create, deploy and manage machine learning models using the Azure environment. The course combines theoretical concepts with hands-on workshops to ensure complete mastery of the Azure Machine Learning platform.

Day 1: Introduction to Azure Machine Learning

  • Introduction to Microsoft Azure and machine learning services
  • Configuring the Azure ML environment
  • Introduction to the basic concepts of machine learning and how to use Azure ML Studio

Day 2: Data preparation and exploration

  • Importing and managing data in Azure
  • Data pre-processing and cleansing
  • Data exploration with Azure tools

Day 3: Developing machine learning models

  • Model selection and training with Azure ML
  • Using pipelines to automate the machine learning process
  • Evaluating and optimizing models

Day 4: Deploying and managing models

  • Deploying models in production with Azure ML
  • Monitoring and managing deployed models
  • Using Azure services for scaling and performance management

Day 5: Case studies and advanced integrations

  • Developing end-to-end solutions with Azure ML
  • Integration with other Azure services (Data Factory, Databricks, etc.)
  • Case study: implementation of a complete machine learning project

Data scientists, machine learning engineers, developers and IT professionals wishing to acquire advanced machine learning skills with Microsoft Azure.

Basic knowledge of machine learning and programming (Python recommended). Experience with cloud computing concepts and Azure services is a plus.

At the end of this training course, participants will be able to:

  • Use Microsoft Azure to develop, deploy and manage machine learning models.
  • Prepare and explore datasets in the Azure environment.
  • Create machine learning pipelines to automate workflows.
  • Deploy models in production and monitor their performance.
  • Integrate machine learning solutions with other Azure services for complex projects.

We design, build and support digital products for clients who want to make a positive impact in their industry. Creative with technology, we develop great solutions to help our clients grow and especially by strengthening our relationships based on continuous improvement, maintenance, support and hosting services.

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