As a data scientist you might be interested in how to improve the development in a ML lifecycle and bring ML algorithms faster to production or overcome challenges with the current development cycle. In this 1-day course in Machine Learning on Azure we explain how you can develop and train your machine learning algorithms in Azure at scale, MLOps principals to register and track ML models, how to easily deploy and serve models. The course explains all the principles and is supported with practical exercises to cover the end-to-end ML lifecycle.
Course objective
The objective of this 1-day workshop is to learn how you can manage your end-to-end Machine Learning lifecycle in Microsoft Azure.
Audience
- You are a Data Scientist or Data Engineer interested in running ML on Azure
- You are interested in learning how you can build deploy ML in the Azure cloud
- You want to know some best practices in running ML in Azure
- You want hands-on exercises to learn how to do an end-to-end ML lifecycle management
Agenda
During this one-day course we’ll extensively cover Azure Databricks, Azure Machine Learning and Azure DevOps for building and managing ML on Azure. The following topics will be covered in the course
- ML development
- Using Databricks
- Using Azure Machine Learning
- MLOps principles
- What & Why
- How to manage the machine learning lifecycle
- Register and track models
- Deploy production ready ML models anywhere
- MLOps in Azure
- Using Databricks and MLflow
- Using Azure Machine Learning
- DevOps for Deployment
- Azure Pipelines for deployment
- Packaging Python libraries
- Serve ML models
- Using Azure Kubernetes Service
- API frameworks
The course offers a technical training on these technologies as well. The hands-on sessions will help you to:
- Create ML models in Azure Databricks (Python)
- Create ML models in Azure Machine Learning (Python)
- Register and track models with MLflow and Azure ML
- Deploy models to Azure as APIs
- Build CI/CD for ML model deployment
- Deploy new model version through DevOps
Cost
- 675 € per participant
Subscribe
For more information, contact academy@element61.be
Azure Training schedule can be found here.
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