DevOps for Data Scientists: Deploying Data DevOps
DevOps
| Intermediate
- 8 videos | 33m 28s
- Includes Assessment
- Earns a Badge
In this course, learners will explore deploying data models into production through serialization, packaging, deployment, and rollback. You will begin by watching how to serialize models using Python and Pandas. Then the 8-video course takes a look at the tools and approaches to model packaging and deployment. Next, you will explore the concept of the blue-green deployment strategy for data DevOps, which is the strategy for upgrading running software. This leads into examining the concepts behind the Canary deployment strategy in terms of data DevOps. Canary deployments can be regarded as a phase or test rollout on updates and new features. Then take a look at versioning and approaches to rolling back models for machine learning with DevOps. Finally, you will learn about some of the considerations for deploying models to web APIs (application programming interfaces). The concluding exercise involves creating a model by using Python and Pandas, then serializing the results of the model to a file.
WHAT YOU WILL LEARN
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Serialize models using python and pickleDescribe tools and approaches to model packaging and deploymentDescribe the blue-green deployment strategy for data devopsDescribe the canary deployment strategy for data devops
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Describe approaches to rolling back model versionsExplore approaches to deploying models to web apisUse python and pandas to serialize a model
IN THIS COURSE
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1m 16s
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5m 7sIn this video, you will learn how to serialize models using Python and pickle. FREE ACCESS
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4m 10sUpon completion of this video, you will be able to describe tools and approaches for packaging and deploying models. FREE ACCESS
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2m 44sUpon completion of this video, you will be able to describe the blue-green deployment strategy for Data DevOps. FREE ACCESS
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5m 48sAfter completing this video, you will be able to describe the canary deployment strategy for Data DevOps. FREE ACCESS
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4m 24sUpon completion of this video, you will be able to describe approaches for rolling back model versions. FREE ACCESS
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3m 14sIn this video, you will explore approaches to deploying models as web APIs. FREE ACCESS
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6m 44sFind out how to use python and pandas to save a model. FREE ACCESS
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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