Current
Intermediate
IBM MLOps and AI DevOps Fundamentals
IBM Skills Network (watsonx) · IBM · Updated March 2026
Platform rating
4.7/5
AI Tutor Rating
8.7/10
Duration
15 hours
Classes
20
Learn MLOps practices with IBM Cloud Pak and Watson. Cover model lifecycle management, CI/CD for ML, and AI governance.
What you'll get
Implement MLOps CI/CD pipelines
Manage ML model lifecycles
Apply AI governance and monitoring
Deploy models with IBM Cloud Pak
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 and cloud knowledge
Pricing
Free
Certification
Certificate
Growth Leverage: Completing this course positions you for roles such as MLOps Engineer, Data Scientist, or DevOps Engineer, and opens opportunities for certifications like IBM AI Engineering. Mastery of MLOps practices enhances your value in organizations adopting AI-driven solutions.
Skills Value: The skills learned enable you to build and manage CI/CD pipelines for machine learning, addressing critical demands in AI governance and model deployment, which are sought after in industries employing MLOps practices. According to recent salary reports, MLOps roles can command salaries upwards of $120,000 per year.
MLOps
IBM
Cloud Pak
DevOps
AI Governance