Learning Databricks

Saurabh_kanoje
New Contributor II

‎11-03-2025 08:26 PM

Hi All,
I am new to databricks and trying to learn things around, i have experience in platform administration and Platform integration and managements roles.
Can someone please guide a correct path learning path around platform administration and is there any learning material present within the academy itself were we can do the kick start 

Thanks in advance 

Regards 
Saurabh

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szymon_dybczak
Esteemed Contributor III

‎11-03-2025 11:58 PM

Hi @Saurabh_kanoje ,

In databricks academy there's a free course called  Databricks Platform Admistration Fundamentals that you can check:

Databricks Platform Administration Fundamentals

Also, there's a really good learning plan for platform architect. You can learn a lot from it:

Azure Databricks Platform Architect Learning Plan - Databricks Learning

szymon_dybczak_0-1762243051442.png

 

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bianca_unifeye
Databricks MVP

‎11-04-2025 12:43 AM

Hi @Saurabh_kanoje , welcome to the Databricks community!

In the Databricks Academy, there’s a free course called Databricks Platform Administration Fundamentals, which is a great starting point.

I’d also recommend exploring the Azure, AWS AND GCP Databricks Platform Architect Learning Plans, it provides excellent guidance and helps you understand how the platform fits together from an architectural perspective.

However, these alone won’t give you the full picture. To be truly effective as a platform admin, you should also:

  • Build a solid understanding of governance and Unity Catalog.

  • Take the courses under the Data Engineering learning path and aim for the related certifications.

  • Learn about Databricks Asset Bundles (DABs) to automate deployments and integrate CI/CD with GitHub or Azure DevOps.

  • Familiarize yourself with environment best practices, how to manage dev, test, and prod setups properly.

If your employer is a Databricks Partner, you can also aim to become a Databricks Architect Champion, a great step to deepen your expertise and recognition within the ecosystem.