Azure Machine Learning ChallengePush your skills to the next level in a live environment
The hands-on lab is part of this learning path
Lab challenges are hands-on labs with the gloves off. You jump into an auto-provisioned cloud environment and are given a goal to accomplish. No instructions, no hints. To pass, you'll have a limited time to demonstrate your problem-solving skills and get the checks that inspect the state of your lab environment.
In this lab challenge, you will take on the role of a data scientist and complete several tasks within the Azure Machine Learning service. You will train a machine learning model using an Azure Notebook or the Azure Machine Learning GUI. After the model has been trained and is ready for production, you will deploy it as a web service using Azure Container Instances. You must complete these tasks and pass all the checks before time runs out.
What will be assessed
- Designing and implementing an Azure Machine Learning environment
- Data Science
- Data Scientists
- Azure Cloud Engineers
- Completion of the Building Azure ML Pipelines using the Azure Machine Learning SDK or Creating a Classification Model with AutoML in Azure Machine Learning Studio labs is highly recommended before attempting the challenge
Luke currently serves as a Cloud Labs Developer at Cloud Academy. His background is infrastructure development using Terraform. He is an Azure DevOps Engineer Expert, Azure Administrator Associate, and HashiCorp Certified - Terraform Associate.