Explore best practices for DP-100: Designing and implementing a data science solution on Azure learning path 1
DP-100: Learning path 1 Design a machine learning solution
Learning path 1 Overview
As you begin to teach this learning path, get familiar with what the students learn during the learning path. In this learning path student learn about designing a machine learning solution including an overview of the entire machine learning process, general concepts, how to design the various aspects of machine learning projects. Students will also learn about designing a data ingestion strategy, a machine learning model training solution, and designing a modern deployment solution.
This learning path consists of five focus areas:
- Identify your data source and format
- Design a data ingestion solution
- Identify machine learning tasks
- Choose a service to train a model
- Choose between compute options
- Decide whether to deploy your model to a real-time or batch endpoint
Learning Path 1 Tips and Tricks
- Be concise for each area. They'll be discussed more in later learning paths
- Leverage the mentioned links
- Use the interactive case study-based activity
- Keep the discussion high level
Learning Path 1 Demos (optional)
- Open and show a customer success story on Azure Machine Learning
- Open the Azure portal and point to data storage options
Learning Path 1 Labs
- Lab 1.1: Design a data ingestion strategy
- Lab 1.2: Design a model training strategy
- Import solution (optional)