Design, train, automate, and deploy models with Azure Machine Learning
This course is designed to teach how to develop, train, and deploy machine learning solutions using Microsoft Azure services. It is intended for data scientists and professionals responsible for the training and deployment of machine learning models.
Participants will explore available Azure tools for data science, gain hands-on experience with Azure Machine Learning service (AML), and learn how to automate machine learning pipelines, including model selection and hyperparameter tuning. The course also covers how to manage and monitor ML models in a production environment.
Is it for you ?
This course is designed for data scientists and others with significant responsibility for training and deploying machine learning models.
Prerequisites
Before taking this course, participants must have knowledge and skills on :
• Azure fundamentals
• Understanding of data science, including how to prepare data, train models and evaluate competing models to select the best one.
• Python programming and the use of Python libraries: pandas, scikit-learn, matplotlib and seaborn
What You'll Walk Away With
- ✓ Design data science solutions using appropriate Azure services
- ✓ Build, train, and deploy machine learning models with Azure Machine Learning
- ✓ Automate model selection and hyperparameter tuning using AutoML and HyperDrive
- ✓ Manage the full model lifecycle from registration to production deployment
- ✓ Monitor and improve model performance using Azure tracking and monitoring tools
Training content
1 Doing Data Science on Azure
- Overview of Azure Data Science options
- Overview of Azure Notebooks
2 Doing Data Science with Azure Machine Learning Service
- Overview of the Azure Machine Learning (AML) service
- Registering and deploying ML models with the AML service
3 Automate machine learning with Azure Machine Learning Service
- Automate machine learning model selection
- Automate hyperparameter settings with HyperDrive
4 Manage and monitor machine learning models with Azure Machine Learning Service
- Manage and monitor machine learning models.
📌 Practical information
Our training sessions are offered in Montreal or Quebec City, in person or in a virtual classroom. Dates and locations are specified when you select your session below. If you have any questions, check out our FAQ.