Ideal for teams that…
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
What we actually do
- · 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
- · 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
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.
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.
Thank you!
We'll get back to you within 1 business day.
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