Intermediate Level

Databricks - Master Databricks for Data Engineers

★ 4.8 (300 learners) 60 hrs total 11 modules

Microsoft Azure Databricks Delta Lake Apache Spark Unity Catalog Python

Only 7 seats left · Next batch starts 15 Aug 2026

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60 hrs: of content
11 modules: in curriculum
16 projects: hands-on builds
Intermediate: difficulty

Curriculum covers

Frameworks you'll master

6 tools & frameworks

Microsoft Azure Databricks Delta Lake Apache Spark Unity Catalog Python

Course Curriculum

11 modules · 60 hours · 24 live sessions

Introduction 1 sessions

Introduction to Data Engineering
Apache Spark to Data Engineering Platform
Introduction to Databricks Platform

Getting Started 2 sessions

Creating Azure Cloud Account
Azure Portal Overview
Creating Databricks Workspace Service
Introduction to Databricks Workspace
Azure Databricks Platform Architecture

Working in Databricks Workspace 1 sessions

How to create Spark Cluster
Working with Databricks Notebook
Notebook Magic Commands
Databricks Utilities Package

Working with Databricks File Systems (DBFS) 1 sessions

20. Introduction to DBFS
Working with DBFS Root
Mounting ADLS to DBFS

Working with Unity Catalog 1 sessions

24. Introduction to Unity Catalog
Setup Unity Catalog
Unity Catalog User Provisioning
Working with Securable Objects

Working with Delta Lake and Delta Tables 3 sessions

Introduction to Delta Lake
Creating Delta Table
Sharing data for External Delta Table
Reading Delta Table
Delta Table Operations
Delta Table Time Travel
Convert Parquet to Delta
Delta Table Schema Validation
Delta Table Schema Evolution
Look Inside Delta Table
Delta Table Utilities and Optimization

Working with Databricks Incremental Ingestion Tools 2 sessions

Architecture and Need for Incremental Ingestion
Using Copy Into with Manual Schema Evolution
Using Copy Into with Automatic Schema Evolution
Streaming Ingestion with Manual Schema Evolution
Streaming Ingestion with Automatic Schema Evolution
Introduction to Databricks Autoloader
Autoloader with Automatic Schema Evolution

Working with Databricks Delta Live Tables (DLT) 2 sessions

Introduction to Databricks DLT
Understand DLT Use Case Scenario
Setup DLT Scenario Dataset
Creating DLT Workload in SQL
Creating DLT Pipeline for your Workload
Creating DLT Workload in Python

Working with Databricks Project and Automation Features 1 sessions

Introduction to Databricks DLT
Understand DLT Use Case Scenario

Delta Lakeflow Declarative Pipeline (DLT) Overview 1 sessions

Working with Databricks Repos
Working with Databricks Workflows
Working with Databricks Rest API
Working with Databricks CLI

Capstone Project 9 sessions

Project Scope and Background
Taking out the operational requirement
Storage Design
Implement Data Security
Implement Resource Policies
Decouple Data Ingestion
Design Bronze Layer
Design Silver and Gold Layer
Setup your environment
Create a workspace
Create and Storage Layer
Setup Unity Catalog
Create Metadata Catalog and External Locations
Setup your source control
Start Coding
Test your code
Load historical data
Ingest into bronze layer
Process the silver layer
Handling multiple updates
Implementing Gold Layer
Creating a run script
Preparing for Integration testing
Creating Test Data Producer
Creating Integration Test for Batch mode
Creating Integration Test for Stream mode
Implementing CI CD Pipeline
Develop Build Pipeline
Develop Release Pipeline
Creating Databricks CLI Script

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Batch Schedule

⚡ Seats filling fast — only 7 remaining across all batches

Available Batches
Batch Type	Schedule	Duration	Next Start Date	Availability
Weekend	Sat & Sun, 10am–1pm	10 weeks	15 Aug 2026	Available
Weekday	Mon–Fri, 7–9pm	8 weeks	17 Aug 2026	Available
Fast-track	Mon–Sun, 6 hours/day	2 weeks	24 Aug 2026	Available

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