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Databricks Certified Machine Learning Associate training and exam prep - the foundational machine learning certification on the Databricks Data Intelligence Platform, with hands-on labs.
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The Databricks Certified Machine Learning Associate is the foundational (associate-level) machine learning certification for the Databricks Data Intelligence Platform. It validates that you can use Databricks to prepare data, engineer features, build, tune and evaluate models, and deploy and manage them across the ML lifecycle. The certification is earned by passing a single exam: 48 multiple-choice questions in 90 minutes, taken online with remote proctoring through Databricks' certification platform, for about US$200. The exam covers four areas: Databricks Machine Learning (the largest, at about 38%); ML workflows; model development; and model deployment. Core tools include the Databricks Runtime for Machine Learning, MLflow (tracking and registry), AutoML, the Unity Catalog Feature Store and Spark ML. All ML code is written in Python.
Machine learning is one of the most in-demand skill areas in tech, and the Databricks Certified Machine Learning Associate proves you can do it on a leading platform. It validates practical, end-to-end ML skills - preparing data, building and tuning models, and deploying and managing them with MLflow, AutoML, Feature Store and Spark ML. It is an accessible first credential for ML roles and the starting point toward the Machine Learning Professional certification.
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This certification has no formal prerequisites and is the recommended starting point for machine learning on Databricks. It is ideal for: - Aspiring and early-career machine learning engineers - Data scientists and analysts adding ML on Databricks - Software and data professionals moving into MLOps - Anyone who wants to validate foundational Databricks ML skills Databricks recommends about 6 months of hands-on ML experience, though nothing is formally required. All ML code is in Python.
How to earn it:
1. Prepare with an ML Associate exam-prep course that includes hands-on Databricks labs - that is what we provide.
2. Register for the exam through Databricks' official certification platform.
3. Take the exam online with remote proctoring (48 questions; 90 min...
The Databricks Certified Associate Developer for Apache Spark certification validates your ability to develop and work with data processing solutions using Apache Spark and Databricks technologies. The exam assesses your knowledge of Spark architecture, DataFrames, Spark SQL, data transformations, data manipulation, performance considerations, and practical application of Spark for large-scale data processing. Understanding the exam structure and certification requirements can help you plan your preparation effectively and build confidence before the assessment. This section explains the exam pattern, question format, duration, certification requirements, and other important details you should know before taking the Databricks Certified Associate Developer for Apache Spark exam.
Exam details verified on 16 August 2026. The Databricks Certified Machine Learning Associate is earned by passing a single online-proctored exam of 48 scored multiple-choice questions in 90 minutes, for about US$200 (plus applicable local taxes). Databricks does not publicly disclose a fixed passing score; a figure around 70% is commonly cited - confirm on Databricks' exam guide. All ML code is in Python. The certification is valid for 2 years and is renewed by re-taking the current version of the exam. Confirm current details at databricks.com.
The Databricks ML Associate is ideal for: - Aspiring and early-career machine learning engineers - Data scientists and analysts adding ML on Databricks - Software and data professionals moving into MLOps There are no formal prerequisites, and it is the recommended starting point for ML on Databricks. About 6 months of hands-on ML experience helps, and comfort with Python is important. If your focus is generative AI and LLM applications, consider the Databricks GenAI Engineer Associate. When you are ready for advanced ML, the Machine Learning Professional is the next step.
