Microsoft AIIntermediate
AI-300 Machine Learning Operations Engineer Associate
5 (198 reviews) 250 students 4 Weeks Intermediate
Instructor
Category
Microsoft AI
Rating
5 (198)
Students
250
Language
English
Duration
4 Weeks
What you'll cover
1MLOps Foundations+
- Understand MLOps principles and the ML lifecycle
- Configure Azure Machine Learning workspaces
- Manage compute clusters and compute instances
- Implement environment and dependency management
2Model Training and Experimentation+
- Build and track ML experiments with MLflow
- Implement automated machine learning (AutoML)
- Manage model versioning and the model registry
- Tune hyperparameters at scale
3CI/CD for Machine Learning+
- Build ML pipelines with Azure ML SDK/CLI
- Implement CI/CD for model training and deployment
- Automate retraining workflows on data drift
- Integrate ML pipelines with Azure DevOps or GitHub Actions
4Model Deployment and Monitoring+
- Deploy models to batch and real-time endpoints
- Configure managed online endpoints and scaling
- Monitor model performance and data drift
- Implement responsible AI dashboards and monitoring
5Governance and Security+
- Manage Azure ML workspace security and RBAC
- Implement model governance and approval workflows
- Ensure compliance in ML operations
- Implement audit trails for model lifecycle events