 Cert Prep - 4 Implement Responsible Machine Learning/thumbnail.webp?token=Y291cnNlcy8yMDIzLzAxL01pY3Jvc29mdCBBenVyZSBEYXRhIFNjaWVudGlzdCBBc3NvY2lhdGUgKERQLTEwMCkgQ2VydCBQcmVwIC0gNCBJbXBsZW1lbnQgUmVzcG9uc2libGUgTWFjaGluZSBMZWFybmluZy90aHVtYm5haWwud2VicDoxNzg0NjAzMzQzOmMyMzQ3M2JiNmYwYWJhYzIzZTY2NGZiNDQ1NzRiYzUzOTFiZjQxOThjYzk0MzlkNTMyY2Y5MjE4NjIyMGU3Nzk%3D)
Microsoft Azure Data Scientist Associate (DP-100) Cert Prep: 4 Implement Responsible Machine Learning
18mIntermediate2023-01-31
Authors
Noah Gift
MLOps Expert | Solopreneur | Author | Adjunct Professor | CTO
Course details
This course covers the topics tested in the fourth domain of the Microsoft Azure Data Scientist Associate (DP-100) exam. Instructor Noah Gift shows you how to deploy and retrain a machine learning model. He covers how to configure compute for a batch deployment, test a real-time deployed service, apply machine learning operations (MLOps), and how to trigger an Azure Machine Learning pipeline—including from Azure DevOps or GitHub.
Skills covered
Responsible AICloud DevelopmentMachine LearningAzureCert PrepArtificial Intelligence (AI)Cloud ComputingMicrosoft
Concepts
1. Domain 4 - Deploy and Retrain a Model
- 01 - Configure compute for a batch deployment
- 02 - Deploy a model to a batch endpoint
- 03 - Test a real-time deployed service
- 04 - Apply Machine Learning Operations (MLOps) practices
- 05 - Trigger an Azure Machine Learning pipeline, including from Azure DevOps or GitHub
- 06 - Conclusion
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