Microsoft Azure Data Scientist Associate (DP-100) Cert Prep: 3 Deploy and Operationalize Machine Learning Solutions
33mGeneral2023-01-30
Authors
Noah Gift
MLOps Expert | Solopreneur | Author | Adjunct Professor | CTO
Course details
In this third course of his Microsoft Azure Data Scientist Associate (DP-100) exam preparation series, Noah Gift covers the topics you need to know in the third domain of the exam, showing you how to prepare a machine learning model for deployment. Noah covers topics such as running the model training scripts, implementing training pipelines, and managing models in Azure ML studio.
Skills covered
Software DeploymentCloud DevelopmentMachine LearningAzureArtificial Intelligence (AI)Cert PrepNetwork and System AdministrationCloud ComputingMicrosoft
Concepts
Domain 3 - Prepare a Model for Deployment
- Configure compute for a job run
- Consume data from a data asset in a job
- Run a script as a job by using Azure Machine Learning
- Use MLflow to log metrics from a job run
- Describe MLflow model output
- Identify an appropriate framework to package a model
- Describe MLflow model workflow in Databricks