Azure Machine Learning

This Azure Machine Learning course is an intensive two-day program focused on the practical use of Azure’s tools and services for building, training, and deploying machine learning models.

Duration

16h · 2 days

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Who it's for

Ideal for teams that…

1 Developers and data engineers who want to expand their skills in machine learning with Azure.

2 IT specialists who want to use Azure Machine Learning for data processing automation and prediction.

3 Data scientists and analysts looking to train and deploy ML models in production environments.

Outcomes after the program

Cloud, automation and CI/CD in practice — hands-on for engineering teams.

✓

How to configure and manage an Azure ML Workspace.

✓

How to deploy ML models on Azure ML Service and monitor their performance.

✓

How to conduct exploratory data analysis and train ML models using Azure ML Designer and AutoML.

✓

How to integrate ML models with other Azure services such as Databricks and Cognitive Services.

Requirements

What you should know before we start

Basic knowledge of Python programming.
Experience with cloud services is an advantage.
Foundational knowledge of machine learning.

Program

What we actually do

Day 1: Introduction to Azure Machine Learning and Basics

· Introduction to the Azure ecosystem and ML services
· Configuring the Azure ML Workspace
· Importing and processing data in Azure
· Performing EDA using Azure tools
· Introduction to Azure ML Designer
· Automating model training with Azure AutoML
· Training the first model
· Hands-on exercises: training a model with a real dataset
· Analyzing results and evaluating the model

Day 2: Advanced Techniques and Practical Applications

· Using custom scripts to train models
· Leveraging GPUs and compute clusters to accelerate training
· Deploying models on Azure ML Service
· Monitoring and managing deployed models
· Model deployment and optimization
· Hands-on exercises: deploying a model
· Model optimization and hyperparameter tuning

Every module is adapted to your stack and context. The above is a starting point — not a fixed agenda.

How we work

From brief to retro in 30 days.

Brief & diagnosis

A call with the team lead + a short survey for participants. We define goals, gap and context.

Program customization

We adapt modules, case studies and code examples to your stack. Approval in 5 days.

Workshop

Trainer-led sessions, hands-on, code review. Mentor available between sessions too.

Retro + report

Outcome report for the team and lead. 30 days of consulting included.

Inquiry

Send a brief. We'll reply within 1 day.

After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.

✓Quote within 48h of the brief

✓First session within 30 days

✓Pilot before the full decision

✓VAT invoice, payment in instalments possible

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