AI & Data

Training: Azure Machine Learning

The Azure Machine Learning training is an intensive two-day course focused on the practical application of tools and services available in Azure for building, training, and deploying machine learning models.

Duration
6h
Who it's for

Ideal for teams that…

1 Developers and data engineers who want to expand their skills in machine learning on Azure
2 IT specialists who want to use Azure Machine Learning to automate data processing and prediction
3 Data scientists and analysts aiming to train and deploy ML models in a production environment
Outcomes after the program

Hands-on AI and data analytics workshops — built around your team's real cases.

How to configure and manage the Azure ML Workspace

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

How to perform exploratory data analysis (EDA) 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

Program · 2 modules

What we actually do

M01
Day 1: Introduction to Azure Machine Learning and Basics
  • · Fundamentals of Azure Machine Learning
  • · Overview of the Azure ecosystem and its ML services
  • · Configuring the Azure ML Workspace
  • · Preparing data and performing exploratory data analysis (EDA)
  • · Importing and processing data in Azure
  • · Conducting EDA with Azure tools
  • · Training models in Azure
  • · Introduction to Azure ML Designer
  • · Automating model training with Azure AutoML
  • · Training your first model
  • · Hands-on exercises with real-world datasets
  • · Analyzing results and evaluating model performance
M02
Day 2: Advanced Techniques and Practical Applications
  • · Advanced model training techniques
  • · Using custom scripts for model training
  • · Leveraging GPUs and compute clusters to speed up training
  • · Deploying and monitoring models
  • · Deploying ML models on Azure ML Service
  • · Monitoring and managing deployed models
  • · Model deployment and optimization
  • · Hands-on exercises in model deployment
  • · 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.

01

Brief & diagnosis

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

02

Program customization

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

03

Workshop

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

04

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

Ochrona antyspamowa (Cloudflare Turnstile) zostanie aktywowana po wpięciu klucza.