Back to Courses
Advanced
Artificial Intelligence & Machine Learning
en
Machine Learning DevOps Engineer Nanodegree
Udacity
Platform
· California, USA
About this course
Gain end-to-end expertise in Machine Learning DevOps with this Nanodegree program that focuses on deployment, automation, and monitoring. Develop production-ready skills in CI/CD, container orchestration, and model performance tracking, including clean code practices, reproducible ML pipelines, scalable deployment, and model scoring and monitoring in production environments.
Prerequisite Skills
Skills you should have before taking this course
Basic descriptive statistics
Command line interface basics
Intermediate Python
Jupyter notebooks
Basic machine learning
Descriptive statistics
Skills Gained
Skills you will develop by completing this course
Git
Machine learning ops troubleshooting
DVC
Automated machine learning
ML project reporting
Automated model scoring
API configuration
Model drift
CI/CD for machine learning
FastAPI for ML model deployment
ML model monitoring and drift detection