View Course →
data engineering
Master Databricks for Data Engineers
★ 4.9 · 640 learners · Intermediate
Starts 5 Jul 2026 · ~2–3 months
PySpark Certification Training
Build scalable data pipelines using Apache Spark and PySpark on Databricks.
For: Python developers and data engineers building big data pipelines with Spark
4.8 · 560 learners · Intermediate ·Starting 19 Jul 2026
Batch Schedule
| Batch Type | Schedule | Duration | Next Start Date | Availability |
|---|---|---|---|---|
| Weekend | Sat & Sun, 10am–1pm | 10 weeks | 19 Jul 2026 | Available |
Course Curriculum
4 modules · 90 hours · 36 live sessions
Big Data & Spark Architecture 8 sessions
- Big data concepts
- Hadoop evolution
- Spark vs MapReduce
- Databricks setup
PySpark DataFrames 10 sessions
- DataFrames
- RDDs
- Transformations
- Actions
- SparkSQL
Advanced PySpark 10 sessions
- Joins
- Window functions
- UDFs
- Delta Lake
- Streaming
Pipelines & Capstone 8 sessions
- ETL pipeline design
- Airflow integration
- Performance tuning
- Capstone project
Tools You'll Learn
PySpark Apache Spark Databricks Delta Lake SQL Hadoop Kafka
Frequently Asked Questions
Is Python experience required?
Intermediate Python (functions, OOP) is required.
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.
Book Free DemoDownload the Full Curriculum
See every module, capstone project, and tool covered — free, instant access.
Book Your Free Demo
30-minute session with our advisors — no commitment required.
Similar Courses You Might Like
View Course →
data engineering
Snowflake SnowPro Core Certification
★ 4.8 · 580 learners · Beginner
Starts 5 Jul 2026 · ~2–3 months
View Course →
data engineering
Databricks Certified Data Engineer — Associate
★ 4.8 · 520 learners · Intermediate
Starts 12 Jul 2026 · ~2–3 months
View Course →
data engineering
Databricks Certified Lakehouse Fundamentals
★ 4.7 · 490 learners · Beginner
Starts 5 Jul 2026 · ~2–3 months