Databricks Certified Data Engineer Associate - Bootcamp

About this course

Are you ready to become a DATABRICKS DATA ENGINEER [WITH UPDATED MAY 2026 SYLLABUS]?Whether you're a beginner or a working professional who wants to level up, this course will guide you step by step with a hands-on, practical, and engaging approach.GAIN STRONG HANDS-ON WITH:Lakehouse Architecture, Lakehouse Federation, and Lakeflow Connect – Understand how Databricks handles structured and unstructured data, and how Lakehouse Federation lets you query external sources seamlessly.DATABRICKS ASSET BUNDLES - Learn how to create the CI/CD ready bundles for your development.Unity Catalog, Metastore, Volumes, and UDFs – Learn how to manage data, permissions, and catalogs efficiently using Databricks’ built-in governance features.PySpark for Big Data – Master PySpark with real use cases, transformations, actions, joins, and more — all from a Data Engineer’s point of view.Structured Streaming + Autoloader – Build real-time pipelines using Spark Streaming and learn how Autoloader handles files in cloud storage.Delta Lake Architecture – Dive deep into Delta’s features like ACID transactions, time travel, schema evolution, and performance tuning.Databricks SQL Warehouses – Learn how to write parameterized queries, schedule dashboards, and set alerts using SQL Warehousing.LakeFlow Declarative Pipelines – Work with Streaming Tables, Materialized Views, and build low-code data pipelines.Delta Live Tables (DLT) – Build robust pipelines with SCD implementation, data quality checks, expectations, and monitoring.Databricks Git Folders [Repos] - Work with Remote Repo and Local Repo using you