MLOps on Databricks & Azure ML

$159

8-module course for MLOps engineers: MLflow experiment tracking, feature stores, distributed training, model registry, serving endpoints, monitoring, and CI/CD for ML. 42 hours.

📁 18 files

YAMLMarkdownAzureDatabricksRedis

📁 File Structure 18 files

mlops-databricks-azure-ml/ ├── README.md ├── free-preview/ │ ├── experiment-tracking-mlflow-free.md │ ├── feature-engineering-store-free.md │ ├── mlops-cicd-production-free.md │ ├── mlops-foundations-databricks-free.md │ ├── model-registry-governance-free.md │ ├── model-serving-deployment-free.md │ ├── model-training-scale-free.md │ └── monitoring-observability-free.md └── modules/ ├── experiment-tracking-mlflow.md ├── feature-engineering-store.md ├── mlops-cicd-production.md ├── mlops-foundations-databricks.md ├── model-registry-governance.md ├── model-serving-deployment.md ├── model-training-scale.md └── monitoring-observability.md

📖 Documentation Preview README excerpt

MLOps on Databricks & Azure ML

Thank you for purchasing this course from Datanest Academy!

Getting Started

1. Review course.yaml for the complete course outline, learning objectives, and prerequisites

2. Start with modules/module-01-*.md and progress through each module in order

3. Each module includes hands-on exercises, code examples, and production patterns

Course Structure

course.yaml — Complete course metadata, outline, and prerequisites
modules/ — 8 progressive modules (full premium content)
free-preview/ — Redacted preview versions (for sharing with colleagues)
assets/ — Supporting materials

Module Format

Each module contains:

Learning objectives
Concept explanations with real-world context
Production-ready code examples
Hands-on exercises
Key takeaways and review questions

Support

Questions? Email megafolder122122@hotmail.com

License

This course content is licensed for personal and organizational use only.

Redistribution is not permitted.

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