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data engineering
Snowflake SnowPro Core Certification
★ 4.8 · 580 learners · Beginner
Starts 5 Jul 2026 · ~2–3 months
Master Databricks for Data Engineers
End-to-end Databricks mastery — Lakehouse, Delta Lake, Spark, and production pipelines.
For: Data engineers building scalable data pipelines on Azure Databricks
4.9 · 640 learners · Intermediate ·Starting 5 Jul 2026
Batch Schedule
| Batch Type | Schedule | Duration | Next Start Date | Availability |
|---|---|---|---|---|
| Weekend | Sat & Sun, 10am–1pm | 10 weeks | 5 Jul 2026 | Available |
| Weekday | Mon–Fri, 7–9pm | 8 weeks | 21 Jul 2026 | Available |
Course Curriculum
4 modules · 90 hours · 36 live sessions
Databricks Platform & Spark 10 sessions
- Workspace setup
- Clusters
- Notebooks
- Spark architecture
- DataFrames
Delta Lake 10 sessions
- Delta tables
- ACID transactions
- Time Travel
- Merge operations
- Medallion architecture
Data Pipeline Patterns 10 sessions
- Auto Loader
- Structured Streaming
- DLT pipelines
- Orchestration
Production & Governance 6 sessions
- Unity Catalog
- Performance tuning
- Cost optimisation
- Capstone
Tools You'll Learn
Databricks Apache Spark Delta Lake PySpark Azure SQL MLflow
Frequently Asked Questions
Do I need Spark experience first?
No — we cover Spark from the ground up in Module 1.
Ready to Get Started?
Download the curriculum to see every module, batch dates and fees. Book a free 30-minute session with our advisors to get your questions answered.
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