Databricks offers two certifications specifically focused on data science:

1. Databricks Certified Data Scientist Associate

• Target Audience: Data scientists, analysts, and those building basic machine learning models on Databricks.
• Focus: Demonstrates fundamental machine learning concepts and their implementation on Databricks.
  • Areas Covered: Understanding data science and machine learning fundamentals
  • Data preparation and feature engineering on Databricks
  • Building and evaluating basic machine learning models
  • Understanding MLflow for experiment tracking

2. Databricks Certified Machine Learning Professional

• Target Audience: Experienced data scientists and machine learning engineers seeking to demonstrate expertise in production-level ML with Databricks.
• Focus: Focuses on advanced machine learning and MLOps practices within the Databricks ecosystem.
  • Areas Covered:Advanced machine learning techniques
  • Model deployment and management
  • MLflow for model lifecycle and production monitoring
  • Hyperparameter tuning and advanced feature engineering

How to Choose

If you are new to machine learning on Databricks, start with the Databricks Certified Data Scientist Associate certification once you have foundational knowledge, progress to the Machine Learning Professional certification for more profound expertise.

Preparation Resources

Refer to the earlier response about Databricks certifications for information on Databricks Academy, preparation guides, and third-party courses. Additionally, Databricks might offer specific resources for these machine learning certifications on their site.