Databricks Academy

Beginner → Intermediate Courses Databricks

1. Data Engineering with Databricks

   • Lakehouse fundamentals

   • Delta Lake

   • Auto Loader

   • PySpark & SQL

   • Workflows / Jobs

   • Hands-on labs

2. Apache Spark™ Programming with Databricks

   • PySpark fundamentals

   • Transformations, actions

   • Joins, windows, optimizations

   • Notebook and cluster best practices

3. Delta Lake Essentials

   • ACID

   • Time travel

   • OPTIMIZE/ZORDER

   • Schema evolution

Advanced Courses

1. Advanced Data Engineering with Databricks

   • Performance tuning

   • Photon

   • Delta Live Tables

   • Streaming

   • Workflows orchestration

2. Machine Learning with Databricks (optional but recommended)

   • Feature engineering

   • AutoML

   • MLflow

   • Model deployment

Hi @vijaypodili ,

I can recommend Data Engineering Learning Path on Databricks Academy:

https://customer-academy.databricks.com/

On Udemy, there's an excellent course that covers all the important aspects of working with Databricks on a daily basis:

Databricks - Master Azure Databricks for Data Engineers | Udemy

And of course you can read books:

•  Spark: The Definitive Guide by Matei Zaharia (CTO of Databricks and one of the co-creators of Spark).
•  Learning Spark: Lightning-fast Data Analytics, which is more up-to-date and Databricks made available for download:https://pages.databricks.com/rs/094-YMS-629/images/LearningSpark2.0.pdf