Databricks Data Engineering with AWS
Build a production lakehouse & deploy a real capstone project with Unity Catalog, Delta Lake, Lakeflow, DABs & CI/CD
Taught by โฎ Prashant Kumar Pandey
$9.99 with coupon (list $149.99 โ save $140.00, 93% off)
Coupon Verified: August 13, 2026 ยท click Claim Coupon to apply the discount code
12AUยทยทยท26Course Overview โ Key Takeaways
Verified details for this course โ last checked August 13, 2026. Rating and student counts are Udemy's own published figures.
- Course Title
- Databricks Data Engineering with AWS
- Platform
- Udemy (coupon tracked by CoursesWyn)
- Instructor
- Prashant Kumar Pandey
- Coupon Last Checked
- August 13, 2026
- Level
- All levels
- Category
- IT & Software
- Topic
- Data Engineering
- Length
- 28 hours 30 minutes of on-demand video
- Language
- English
- Access
- Lifetime access on Udemy
- Certificate
- Certificate of completion
- Top Outcomes
- Set up and govern a production Databricks workspace on AWS using Unity Catalog ยท Master Delta Lake internals โ ACID transactions, time travel, constraints, and performance tuning ยท Design Medallion Architecture pipelines, first manually, then declaratively with Lakeflow Declarative Pipelines
- Prerequisites
- Working knowledge of Apache Spark โ DataFrames, transformations, and basic Spark SQL ยท Comfortable writing Python and SQL โ both are used throughout the course and capstone
- Price
- $9.99 with coupon (list $149.99 โ save $140.00, 93% off)
- Coupon
- Hit Claim Coupon โ the discount applies at checkout
What You'll Learn
Practical skills and outcomes you'll gain from Databricks Data Engineering with AWS โ taken from the official Udemy syllabus for IT & Software learners.
Set up and govern a production Databricks workspace on AWS using Unity Catalog.
Master Delta Lake internals โ ACID transactions, time travel, constraints, and performance tuning.
Design Medallion Architecture pipelines, first manually, then declaratively with Lakeflow Declarative Pipelines.
Ingest data at scale with Lakeflow Connect โ SaaS connectors, database CDC, and Auto Loader.
Orchestrate production pipelines with Lakeflow Jobs โ DAGs, retries, control flow, REST API and CLI.
Build a complete production lakehouse for a real e-commerce business, from ingestion through five gold-layer outputs.
Write unit and integration tests for Databricks pipeline code with pytest.
Package and deploy pipelines using Databricks Asset Bundles (DABs).
Requirements
What you need before enrolling in Databricks Data Engineering with AWS โ prerequisites as listed by the instructor on Udemy.
Working knowledge of Apache Spark โ DataFrames, transformations, and basic Spark SQL
Comfortable writing Python and SQL โ both are used throughout the course and capstone
An AWS account (a free-tier account is enough to start; later chapters and the capstone incur modest AWS/Databricks usage costs)
No prior Databricks experience required โ the course builds this from the ground up
Basic familiarity with Git and the command line helps in the CI/CD and DABs modules, though it isn't required going in
Overview
The full official description of Databricks Data Engineering with AWS โ curriculum, teaching approach, and everything included with this Udemy coupon.
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Frequently Asked Questions
Common queries about this coupon, pricing, and enrollment. Answers reflect our last check on August 13, 2026.
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