7 certification(s) available for AI-powered practice
Validates foundational Apache Spark development skills including DataFrame API, Spark SQL, Structured Streaming, and application tuning.
Validates skills in data analysis using Databricks SQL, dashboards, AI/BI Genie, and Unity Catalog data management.
Validates skills in using the Databricks Lakehouse Platform for data engineering tasks including ETL, Delta Lake, and pipeline orchestration.
Validates advanced data engineering skills on Databricks including complex pipeline design, performance optimization, security, and governance.
Validates skills in building generative AI applications on Databricks including RAG pipelines, prompt engineering, model deployment, and evaluation.
Validates foundational machine learning skills on Databricks including MLflow, Feature Store, AutoML, and model lifecycle management.
Validates advanced ML engineering and MLOps skills on Databricks including production ML pipelines, model lifecycle management, and deployment at scale.
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