MLOps: Operationalising Machine Learning Models Online Course
Join our virtual, live instructor-led session and master MLOps: Operationalising Machine Learning Models Training from anywhere in the world.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| MLO-01 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → | ||
| MLO-01 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → | ||
| MLO-01 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → | ||
| MLO-01 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → | ||
| MLO-01 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → | ||
| MLO-01 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
MLOps Foundations and Lifecycle
Version Control and Experiment Tracking
Data Pipelines and Feature Governance
Containerization and Workflow Automation
Kubernetes Deployment Patterns
Monitoring and Drift Detection
Governance, Reporting, and Roadmaps
Built for United States
From your market
Real tools and case studies from United States — taught against the configurations and outcomes you'll actually encounter.
Industry Tools and Platforms Featured in this Training
6-
MLflow DatabricksFor experiment tracking, model packaging, and model registry workflows in production ML pipelines.
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Docker Docker, Inc.For containerising training and inference environments so models run reproducibly across laptops, CI, and production.
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Kubernetes The Linux FoundationFor orchestrating containerised model services, scaling deployments, and supporting resilient release workflows.
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GitHub Actions GitHub, Inc.For CI/CD automation around testing, building, and deploying ML code and infrastructure.
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Prometheus The Prometheus AuthorsFor collecting metrics on model services and infrastructure to support monitoring and alerting.
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Grafana Grafana LabsFor dashboards that visualise model health, latency, error rates, and performance drift.
Where this course runs
MLOps: Operationalising Machine Learning Models Training is delivered in the cities below — pick the one that fits your schedule.























