Enterprise AI and Data Engineering with Databricks

This five-course specialization takes you from lakehouse fundamentals to production-grade AI systems on the Databricks platform. You begin by building data pipelines with Apache Spark and Delta Lake, learning medallion architecture (bronze, silver, gold) and Unity Catalog governance. You then advance to Delta Live Tables for declarative ETL with built-in data quality expectations, streaming ingestion with Auto Loader, and Change Data Capture with APPLY CHANGES. The specialization progresses into machine learning engineering with MLflow tracking and the Databricks Model Registry, generative AI with LLM fine-tuning and RAG pipelines using Vector Search, and concludes with production governance — model serving, A/B testing, monitoring, and CI/CD for ML systems. Every course includes hands-on labs on the Databricks platform using real-world datasets and production patterns

• Architect and build medallion data pipelines using Apache Spark, Delta Lake, and Databricks Workflows
• Implement declarative ETL with Delta Live Tables including data quality and streaming ingestion
• Train, track, and register machine learning models using MLflow with hyperparameter tuning
• Build generative AI applications with LLM fine-tuning and Vector Search on Databricks

• Basic computer and internet skills
• Ability to read course instructions in English and complete practice activities