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 LearningAzureCert PrepArtificial Intelligence (AI)Network and System AdministrationCloud ComputingMicrosoft
Concepts
1. Domain 3 - Prepare a Model for Deployment
- 01 - Configure compute for a job run
- 02 - Consume data from a data asset in a job
- 03 - Run a script as a job by using Azure Machine Learning
- 04 - Use MLflow to log metrics from a job run
- 05 - Describe MLflow model output
- 06 - Identify an appropriate framework to package a model
- 07 - Describe MLflow model workflow in Databricks
Related courses
- Microsoft Azure Data Scientist Associate (DP-100) Cert Prep: 1 Manage Azure Resources for Machine Learning
- Microsoft Azure Data Scientist Associate (DP-100) Cert Prep: 2 Run Experiments and Train Models
- Microsoft Azure Data Scientist Associate (DP-100) Cert Prep: 4 Implement Responsible Machine Learning
- Microsoft Azure Data Scientist Associate (DP-100) Cert Prep
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- Exam Review: Designing and Implementing a Data Science Solution on Azure (DP-100)
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Related learn paths
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- Prepare for the Azure Data Fundamentals (DP-900) Certification Exam
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- Prepare for the Azure Data Engineer Associate (DP-203) Certification by Microsoft Press