Current
Intermediate
40% Off
Machine Learning Operations (MLOps): Getting Started
Coursera · Google Cloud · Updated March 2026
Platform rating
4.4/5
AI Tutor Rating
8.2/10
Duration
1-4 weeks
Classes
36
Learn MLOps fundamentals from Google Cloud covering model deployment, CI/CD, monitoring, and automation for ML systems.
What you'll get
Build end-to-end ML pipelines with CI/CD
Monitor model performance and detect drift
Implement automation for ML workflows
Fit
Best for
Software Engineers
DevOps/MLOps Engineers
Data Engineers
Platform Engineers
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Basic ML knowledge
Pricing
Subscription
Certification
Certificate
Growth Leverage: Completing this course equips individuals for roles such as MLOps Engineer, Machine Learning Engineer, or Data Scientist, opening pathways to certifications like the Google Professional Machine Learning Engineer and expanding opportunities in companies implementing AI solutions.
Skills Value: The skills acquired enable professionals to efficiently deploy and manage ML models, addressing market needs for automation and monitoring, contributing to competitive salaries ranging from $100,000 to $160,000 for MLOps positions due to high demand for these capabilities.
MLOps
Google Cloud
CI/CD
Model Deployment
Automation