Industry-led live online training with dedicated placement support. Go from beginner to Data Engineer level on the unified Lakehouse platform.
A practical, industry-aligned curriculum covering every tool a modern Data Engineer needs β from Lakehouse foundations to cloud deployments.
Workspace clusters, Unity Catalog, MLflow, Delta Live Tables, and Databricks SQL.
RDDs, DataFrames, Spark SQL, streaming, joins, aggregations, and performance tuning.
ACID transactions, schema evolution, time travel, CDC, and merge operations.
Deploy pipelines across major cloud providers β S3, ADLS, GCS, Glue, ADF integrations.
DAG design, scheduling, sensors, operators, and orchestrating Databricks jobs.
LLMs, RAG pipelines, AI-powered data quality, and autonomous pipeline generation.
Designed data architectures for Fortune 500 companies including Databricks and Microsoft. I bring real-world production experience into every class β you'll learn how to build robust, scalable pipelines that work in the real world, not just in textbooks.
"My goal is to bridge the gap between theoretical knowledge and professional industry standards. Every concept is taught with a real project use case."
Choose a schedule that fits your lifestyle β designed for working professionals.
| Batch Type | Timing | Duration | Mode | Status | |
|---|---|---|---|---|---|
| Weekday Evening | MonβThu | 8 PM β 10 PM IST | 10 Weeks | Live Interactive | Filling Fast | Enroll |
| Weekend Morning | SatβSun | 9 AM β 1 PM IST | 12 Weeks | Live Interactive | Starting Apr 15 | Enroll |
| Self-Paced | Learn at your own rhythm | Lifetime Access | Recorded Classes | Instant Access | Get Access |
Students who successfully transitioned into Data Engineering roles.
"The hands-on labs with real Databricks clusters were a game changer. I cracked my first interview at a top MNC within two weeks of completing the course."
"Transitioning from SQL developer to Databricks Engineer was daunting until I joined this program. The mentor support is truly exceptional."
"The GenAI module was ahead of its time. It helped me automate complex pipeline migrations, which impressed my team leads immensely."
Everything you need to know before enrolling.
No prior experience is required. We start from the basics of Python and SQL, then move into PySpark and Databricks. Basic computer knowledge is sufficient to get started.
We offer both! Live interactive sessions with Q&A and hands-on labs, plus all recordings are uploaded within 24 hours. Self-paced learners get instant access to all recordings.
We provide resume building, LinkedIn profile optimization, mock interviews, and job referrals through our 150+ hiring partner network. 98% of our students get placed within 90 days of course completion.
Course fee starts at βΉ25,000 (Early Bird). We offer 0% EMI options and accept all major payment methods. Contact us for current offers and group discounts.