A real Databricks workspace
Build and run pipelines on actual Databricks infrastructure, including serving endpoints.
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9 industry-grade Databricks projects
Unleash your data superpowers with Databricks! Master PySpark, Delta Lake, and GenAI with hands-on projects and ace your interview preparation. From zero to expert in no time.
One-time payment. Lifetime access. No EMI needed.
“I could walk through ADF to Databricks to serving with real examples. That landed me a Lead DE role in the UAE.”
“Exactly what LSE interviewers asked about. It finally clicked as one system.”
“I applied RAG and embeddings on client work within weeks.”
If any of these describe you, the problem isn’t effort. It’s that nothing you’ve studied connects into one system you can explain.
You don’t need another tutorial. You need one production project you can walk through from start to finish.
Hands-on time with the same Databricks tools your next team uses: a real workspace, production repos, CI/CD and working apps.
Build and run pipelines on actual Databricks infrastructure, including serving endpoints.
Follow production code from the Databricks-Zero-to-Hero GitHub repo, then build your own on Delta Lake.
Deploy Databricks Asset Bundle workflows with GitHub Actions, the way engineering teams ship.
Build and deploy the Incident Triage App, a Data Dictionary and a DQ Rules Suggester.
Open any course to see what it covers. The two core tracks are highlighted.
The PySpark questions interviewers actually ask, worked through in code. You practise explaining a Spark job out loud, the way you will in the round.
Thirteen chapters built around the Databricks Data Engineer Associate certification. Each topic runs on a real workspace, so the exam concepts stay attached to something you have actually built.
Fourteen chapters on building a data warehouse on Databricks, from raw ingestion to tables that reporting can serve. This is where ingestion, transformation and serving become one system.
Seven chapters on building Gen AI applications on Databricks. Notebook-first, so you build as you learn.
One project that connects ingestion, transformation and reporting on Delta Lake. It is the walkthrough you give when an interviewer asks you to design a pipeline.
Gen AI engineer training, pre-recorded like the rest of the course. Work through it on your own schedule and bring your questions to the weekend doubt-clearing sessions.
A complete Gen AI project built on Databricks from the first notebook to a working application. Something you can put on your resume and walk through in an interview.
A bootcamp on building agentic AI applications, added on top of the core Databricks tracks.
Real Databricks infrastructure, from your workspace to the apps you deploy.
Three of the 6,433+ learners on the platform.
“After Sagar’s project track I could walk through ADF to Databricks to serving with real examples. That landed me a Lead DE role in the UAE.”
“The end-to-end project forced me to connect ingestion, transformation and reporting, exactly what LSE interviewers asked about. It finally clicked as one system.”
“Sagar’s modules are paced for working engineers, notebook-first, no fluff. I applied RAG and embeddings on client work within weeks.”
Students placed in top companies, with up to 100% hike
Your instructor
Databricks practitioner and founder of GeekCoders
Built the platform from scratch to 6,433+ learners. His teaching is notebook-first and project-driven, with every module built around real enterprise data problems. Active GitHub contributor with production Databricks repos and CI/CD workflows.
Self-paced pre-recorded course. Weekend doubt-clearing sessions directly with Sagar.
Regular price ₹24,999
One-time payment. Lifetime access.
Secure payment. Instant portal access via email.
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