MLOps Practitioner
Learn how to deploy and monitor projects and API services in production environments
Level
Duration
Target Profile
Advanced
Approx. 4h
Full Designer (Data scientists, ML engineers) on the Enterprise AI package
You’ll be able to:
- Avoid pitfalls while preparing projects and ML models for production.
- Identify refactoring and documentation techniques before deploying to production.
- Perform batch deployment, monitor, and update projects on the Automation node.
- Design, deploy, and monitor API services.
- Take the MLOps Practitioner certification.
Recommended Courses to Prepare for Certification
Optional Courses to Go Beyond
Production Concepts
Learn key MLOps concepts before starting your production journey.
30 min
Project Deployment
Learn how to batch deploy project bundles to production environments.
75 min
API Deployment
Learn how to deploy API services to production environments.
75 min
Production Monitoring
Learn how to monitor deployed projects and API services in production.
75 min
Advanced Dataiku Govern
Tailor your Dataiku Govern instance to specific policies, use cases, and requirements.
60 min
Dataiku Govern
Learn how to use Dataiku Govern for AI project and model management.
45 min