Coursera Certificate 0

Enterprise AI and Data Engineering with Databricks

Name: Enterprise AI and Data Engineering with Databricks
Price: 49 USD
Availability: InStock

About this course

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.

68/100

CourseAsk score

What the provider tells you: 32/45
Who stands behind it: 20/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

Build data pipelines using Apache Spark
Implement Delta Lake and medallion architecture
Use Delta Live Tables for declarative ETL
Understand machine learning engineering with MLflow
Work with generative AI and LLM fine-tuning
Deploy machine learning models with governance strategies

Machine Learning Data Analysis Cloud Computing #machine learning #generative ai #apache spark #ci/cd #data engineering #vector search #data pipelines #etl #mlflow #data quality #ai governance #delta lake #streaming ingestion #model serving #change data capture

$49.00

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