Andreessen Horowitz
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Validate your data and AI skills on the Databricks Platform by getting Databricks credentials.
Accelerate your career with Databricks training and certification in data, AI, and machine learning. Upskill with free on-demand courses.
The Databricks Certified Data Engineer Professional certification exam assesses an individual’s ability to use Databricks to perform advanced data engineering tasks. This includes an understanding of the Databricks platform and developer tools like Apache Spark™, Delta Lake, MLflow, and the Databricks CLI and REST API.
The Databricks Certified Associate Developer for Apache Spark certification exam assesses the understanding of the Spark DataFrame API and the ability to apply the Spark DataFrame API to complete basic data manipulation tasks within a Spark session.
Validate your data and AI skills in the Databricks Lakehouse Platform by getting Databricks certified. Whether you are new to business intelligence or looking to confirm your skills as a machine learning or data engineering professional, Databricks can help you achieve your goals.
The Databricks Data Engineer Professional certification proves that you can use Databricks to perform advanced data engineering tasks. It requires an understanding of how to use the Databricks platform, plus developer tools like Apache Spark™, Delta Lake, MLflow, and the Databricks CLI and REST API.
Databricks Certifications are for individuals (18 years old and up) learning to use Databricks. This includes prospects, customers, partners and Databricks employees. What are the benefits of getting a Databricks Certification? How many questions are on each exam? How much time does it take to complete an exam?
The Databricks Certified Machine Learning Professional certification exam assesses an individual’s ability to use Databricks Machine Learning and its capabilities to perform advanced machine learning in production tasks.
The Databricks Certified Data Engineer Professional certification exam assesses an individual’s ability to use Databricks to perform advanced data engineering tasks. This includes an understanding of the Databricks platform and developer tools like Apache Spark, Delta Lake, MLflow, and the Databricks CLI and REST API.
Nov 28, 2022 · Learn about the value of Databricks' training and certification from practitioners, employers, and partnersLearn at Databricks Academy:https://www.databricks...
