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MindLeap AI MindLeap AI
Intermediate Level

Databricks Certified Data Engineer Associate

★ 4.8 (300 learners) 60 hrs total 20 modules
Microsoft Azure Databricks Delta Lake Apache Spark PySpark Unity Catalog +1 more
Only 6 seats left · Next batch starts 22 Aug 2026
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60 hrs
of content
20 modules
in curriculum
16 projects
hands-on builds
Intermediate
difficulty

Curriculum covers

Frameworks you'll master

7 tools & frameworks
Microsoft Azure Databricks Delta Lake Apache Spark PySpark Unity Catalog Python

Course Curriculum

20 modules · 60 hours · 24 live sessions

Introduction 1 sessions
  • Course Overview
  • What is Databricks
  • Free trial on Azure
  • Exploring Workspace
  • Creating Cluster
  • Notebooks Fundamentals
  • New Notebook Features
Introduction to Databricks Lakehouse Platform 1 sessions
  • Data Lakehouse Overview
  • Introduction to Medallion Architecture
  • Databricks Overview
  • Creating Azure Databricks Service
  • Databricks User Interface Overview
Databricks Workspace Components 2 sessions
  • Databricks Architecture Overview
  • Introduction to Databricks Compute
  • Databricks Cluster Configuration
  • Create Databricks Cluster
  • Troubleshooting Databricks Cluster Quota and VM Issues
  • Databricks Notebooks
  • Databricks Magic Commands
  • Databricks Utilities
  • Databricks Git Folders (Repos)
  • Databricks Git Folders (Repos) – Demo
Apache Spark Overview 1 sessions
  • ETL With Apache Spark Overview
  • ETL Project Overview
  • Setup Data Lake Project Environment
  • Setup Unity Catalog Project Environment
Apache Spark – Querying Data 2 sessions
  • Extract Customers Data Simple JSON
  • Create Views
  • Create Temporary Views
  • Extract Orders Data Complex JSON as Text
  • Extract Memberships Data Cluster Requirement
  • Extract Memberships Data Binary File
  • Extract Addresses Data using read_files Function TSV
  • Extract Payments Data CSV via External Table
  • Extract Refunds Data SQL Table via External Table
  • Querying Files via PySpark
Apache Spark – Transforming Data 2 sessions
  • Data Profiling in Databricks
  • Transform Customers Data
  • Transform Payments Data
  • Transform Refunds Data
  • Transform Memberships Data
  • Transform Addresses Data
  • Query Orders Data JSON Strings
  • Transform Orders Data Convert String to JSON
  • Transform Orders Data Explode Arrays
  • Create Customer Address JOINs
  • Create Month Order Summary Aggregations
  • Spark User Defined Functions (UDFs)
  • Higher Order Functions (Array)
  • Higher Order Functions (Map)
Spark Structured Streaming 1 sessions
  • Structured Streaming Introduction
  • Structured Streaming Demo
  • Trigger & OutputMode
  • Checkpointing
  • Auto Loader
Development and Ingestion 1 sessions
  • Structured Streaming
  • Structured Streaming (Hands On)
  • Incremental Data Ingestion
  • Auto Loader (Hands On)
  • Auto Loader options
  • Multihop Architecture
  • Multihop Architecture (Hands On)
Delta Lake 2 sessions
  • Introduction to Delta Lake
  • Delta Transaction Log
  • Delta Lake Version History
  • Support for ACID Transactions
  • Create Delta Lake Table Overview
  • Delta Lake Table & Column Properties
  • Create or Replace & CTAS Statements
  • Insert Overwrite & Partitioning
  • COPY INTO and MERGE Command
  • Compaction OPTIMIZE and ZORDER
  • Remove Unused Files – VACUUM
Delta Lakeflow Declarative Pipeline (DLT) Overview 1 sessions
  • Introduction to Delta Live Tables
  • DLT Architecture
  • Programming with DLT
Delta Lakeflow Declarative Pipeline (DLT) Overview 3 sessions
  • DLT Project Overview
  • Cluster Configuration & Azure VM Quota
  • DLT Project Environment Setup
  • Introduction to Streaming Tables Ingest Customer Data (SQL)
  • Recent Changes to DLT User Interface [Please Watch]
  • Introduction to DLT Pipelines Create Circuit Box DLT Pipeline
  • Introduction to DLT Expectations Validate Customers Data (SQL)
  • Introduction to Apply Changes Customers Type 1 SCD Table (SQL)
  • Creating DLT Datasets Ingest Addresses Data (Python)
  • Implementing DLT Expectations Validate Addresses Data (Python)
  • Implementing Slowly Changing Dimensions Addresses Type 2 SCD Table (Python)
  • Process Orders Data Assignment
  • Introduction to Materialized Views Create Customer Order Summary
  • Publish to Multiple Catalogs and Schemas from a Single DLT Pipeline
  • Delta Live Tables Legacy Syntax
Databricks Lakeflow Jobs 1 sessions
  • Introduction to Databricks Jobs
  • Introduction to Tasks
  • Create a Databricks Job
  • Running & Monitoring Jobs
  • Schedule & Event Triggers
  • Debug a failed job
  • Complex Triggers using CRON
Databricks SQL 1 sessions
  • Databricks SQL Overview
  • Create SQL Warehouse
  • Databricks SQL Query & Visualization
  • Databricks SQL Alerts
Productionizing Data Pipelines with Lakeflow 1 sessions
  • Lakeflow Declarative Pipelines (Hands On)
  • Change Data Capture
  • Processing CDC Feed with DLT (Hands On)
  • Lakeflow Jobs (Hands On)
  • Deploying Jobs with Databricks Asset Bundles
Introduction to Unity Catalog 1 sessions
  • Introduction to Unity Catalog
  • Databricks Unity Catalog / Hive Metastore Object Model
  • Create Unity Catalog Metastore
  • Cluster Configurations for Unity Catalog
  • Configure Access to Cloud Storage Lecture
  • Configure Access to Cloud Storage Demo
Data Governance 1 sessions
  • Introduction to Data Governance
  • Data Governance using Unity Catalog
  • Data Discovery, Audit & Lineage Demo
  • Data Access Control & Security
  • Legacy Privilege Model
Data Governance & Quality 1 sessions
  • Databricks SQL
  • Data Objects Privileges
  • Managing Permissions (Hands On)
  • Unity Catalog
  • Unity Catalog (Hands On)
  • Delta Sharing
  • Lakehouse Federation
  • Cluster Best Practices
Delta Sharing & Lakehouse Federation 1 sessions
  • Introduction to Delta Sharing [New July 2025 Syllabus]
  • Databricks to Databricks Delta Sharing Demo [New July 2025 Syllabus]
  • Databricks Open Delta Sharing Demo [New July 2025 Syllabus]
  • Introduction to Lakehouse Federation [New July 2025 Syllabus]
  • Lakehouse Federation Demo [New July 2025 Syllabus]
Databricks Connect 1 sessions
  • Introduction to Databricks Connect [New July 2025 Syllabus]
  • Local Development Environment Setup [New July 2025 Syllabus]
  • Databricks Connect Setup [New July 2025 Syllabus]
Databricks Asset Bundles 1 sessions
  • Introduction to Databricks Asset Bundles [New July 2025 Syllabus]
  • Structure of Databricks Asset Bundles [New July 2025 Syllabus]
  • Deployment to Databricks Workspaces Demo [New July 2025 Syllabus]

Batch Schedule

⚡ Seats filling fast — only 6 remaining across all batches

Available Batches
Batch Type Schedule Duration Next Start Date Availability
Weekend Sat & Sun, 10am–1pm 10 weeks 22 Aug 2026 Available
Weekday Mon–Fri, 7–9pm 8 weeks 24 Aug 2026 Available
Fast-track Mon–Sun, 6 hours/day 2 weeks 31 Aug 2026 Available

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