Applied Data Science in Azure with Microsoft Fabric and Azure Machine Learning
Applied Data Science in Azure is a one-day training that takes attendees into the world of the data scientist who works daily with Microsoft Fabric and Azure Machine Learning.
During this training, attendees gain insight into a powerful combination within Azure: Microsoft Fabric and Azure Machine Learning. We cover where and how you can get started with both services, how you build data pipelines and dataflows, analyse data and, of course, how you develop, deploy and use predictive models.
At the end of this training, attendees will have enough knowledge to deploy both Microsoft Fabric and Azure Machine Learning effectively for better decision-making and for training machine learning models within their organisation.
The one-day training consists of 6 modules and covers all the important components, tools and best practices for machine learning workloads within both Microsoft Fabric and Azure Machine Learning.
- Understanding the basic concepts of data science processes and the added value of cloud services
- Designing and preparing machine learning solutions with Azure Machine Learning and Microsoft Fabric
- Working with notebooks in Python and making use of Spark
- Exploring data and training and optimising predictive machine learning models
- Preparing models for deployment using pipelines and MLflow
- Deploying, monitoring and retraining models
- Working with the Python SDK and Spark
- Making use of pre-built and pre-trained models and datasets within Azure Machine Learning