

Machine Learning DevOps Engineer
- Offered byUDACITY
Machine Learning DevOps Engineer at UDACITY Overview
Machine Learning DevOps Engineer
at UDACITY
Automate and streamline the deployment of machine learning models, combining software engineering principles with machine learning workflows.
Duration | 3 months |
Total fee | ₹78,131 |
Mode of learning | Online |
Difficulty level | Advanced |
Official Website | Go to Website |
Credential | Certificate |
Machine Learning DevOps Engineer at UDACITY Highlights
Machine Learning DevOps Engineer
at UDACITY
- Earn a certificate from Udacity
- Fee can be paid in installments
- Real-world projects
- Personalized project reviews
Read more
Machine Learning DevOps Engineer at UDACITY Course details
Machine Learning DevOps Engineer
at UDACITY
Skills you will learn
What are the course deliverables?
Git
Machine learning ops troubleshooting
Dvc
Automated machine learning
ML project reporting
Automated model scoring
API configuration
Model drift
Continuous model updating
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
Welcome to the Machine Learning DevOps Engineer Nanodegree
An Introduction to Machine Learning DevOps Engineer
Getting Help
Clean Code Principles
Introduction
Coding Test Practices
Building a Reproducible Model Workflow
Data Validation
Machine Learning Pipelines
Deploying a Scalable ML Pipeline in Production
CI/CD
API Deployment with FastAPI
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