Azure Data Engineering with Databricks and Spark
Strengths
Applied Cloud Engineering
The curriculum emphasizes practical application through Azure cloud labs and capstone projects involving Databricks, ADF pipelines, and CI/CD workflows.

Master Data Engineering with Azure: From Fundamentals to Real-World Projects in Spark, SQL, and Databricks
InstructorSatyajit PattnaikComidoc has tracked 21 coupons for this course since 2025, last checked 30d ago. On average, a new coupon appears roughly every 17 days.
| Coupon code | Discount | Added | Status | Lifetime |
|---|---|---|---|---|
| 70F3993F66559ADEB67E | 100% off | Expired | 29d 20h | |
| 03FDD4768E8D32FEEFB5 | 100% off | Expired | ~5 daysRan full term | |
| DF36EA2C4D1332A997AE | 100% off | Expired | ~7 daysRan full term | |
| 5458FA7B1C95958867D2 | 100% off | Expired | ~5 daysRan full term | |
| 2496014152747B9A1866 | 100% off | Expired | ~11 daysRan full term | |
| C6D39EEAAF266ECFF4BB | 100% off | Expired | ~3 daysRan full term |


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The curriculum emphasizes practical application through Azure cloud labs and capstone projects involving Databricks, ADF pipelines, and CI/CD workflows.
Instruction spans the essential Spark ecosystem, including Core, SQL, and Streaming modules, alongside Python and SQL proficiency.
Some signals indicate repetitive theoretical explanations that may lack clear mental models, alongside reports of technical inaccuracies regarding Spark and Hadoop.
Isolated signals suggest potential issues with voice clarity in specific modules, particularly within the Databricks sections.
The curriculum aligns well with the goals of aspiring data engineers and IT professionals through its focus on Azure and Spark.