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Databricks Data Engineering Mastery
8-module course for data engineers: PySpark, Delta Lake, medallion architecture, pipeline orchestration, Unity Catalog, testing, CI/CD, and production operations. 40 hours of hands-on content.
Azure Data Platform Engineering
8-module course for platform engineers: Azure provisioning, identity management, Unity Catalog admin, compute optimization, network security, data integration, monitoring, and DR. 45 hours.
Databricks Analytics Engineering
8-module course for analytics engineers: Databricks SQL, dimensional modeling, dbt on Databricks, transformation patterns, data quality, dashboards, semantic layer, and analytics ops. 35 hours.
Data Lakehouse Architecture on Azure
8-module course for data architects: lakehouse foundations, reference architectures, data mesh, governance frameworks, integration patterns, migration strategies, security, and executive communication. 50 hours.
MLOps on Databricks & Azure ML
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.
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