Certification Overview
Professional certification validating proficiency in using OCI Data Science service for end-to-end ML workflows, from experimentation to production deployment.
Key Competencies
Data Science Environment
- OCI Data Science notebooks
- Development environments
- Conda environments and packages
- Git integration
Model Development
- Model training workflows
- Hyperparameter tuning
- Experiment tracking
- Feature engineering
Model Management
- Model catalog and versioning
- Model artifacts and metadata
- Model provenance
- Collaboration features
Model Deployment
- Deployment strategies
- Real-time inference endpoints
- Batch prediction
- Auto-scaling
MLOps Practices
- CI/CD for ML pipelines
- Model monitoring
- Performance tracking
- Automated retraining