Machine Learning DevOps Engineer
- Offered byUDACITY
Machine Learning DevOps Engineer at UDACITY Overview
Machine Learning DevOps Engineer
at UDACITY
Duration | 4 months |
Mode of learning | Online |
Schedule type | Self paced |
Credential | Certificate |
Machine Learning DevOps Engineer at UDACITY Highlights
Machine Learning DevOps Engineer
at UDACITY
- Get real-world projects and immersive content
Machine Learning DevOps Engineer at UDACITY Course details
Machine Learning DevOps Engineer
at UDACITY
Skills you will learn
What are the course deliverables?
- In this program, you will build the DevOps skills required to automate the various aspects and stages of machine learning model building and monitoring.
More about this course
- In this program, you will build the DevOps skills required to automate the various aspects and stages of machine learning model building and monitoring
- Develop skills that are essential for deploying production machine learning models
- First, you will put your coding best practices on auto-pilot by learning how to use PyLint and AutoPEP8
- Finally, you will learn best practices associated with testing and logging used in production settings in order to ensure your models can stand the test of time
Machine Learning DevOps Engineer at UDACITY Curriculum
Machine Learning DevOps Engineer
at UDACITY
Clean Code Principles
Building a Reproducible Model Workflow
Deploying a Scalable ML Pipeline in Production
Automated model scoring and monitoring
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Machine Learning DevOps Engineer
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Student Forum
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