GeekCodersDatabricks Certified Data Engineer - Zero to Expert

Stop Failing Data Engineering Interviews. Start Building Real Databricks Projects.

Self-paced course with 9 real Databricks projects that give you exactly what interviewers are looking for. 6,433+ engineers already enrolled.

Enroll Now - ₹9,999

One-time payment. Lifetime access. No EMI needed.

The Incident Triage App running on Databricks: an agent finds a similar past incident with 96 percent confidence and suggests a fix from documentation.
The Incident Triage App you build in the course
Sagar Prajapati, instructor at GeekCoders
Sagar PrajapatiYour instructor

  • “…I could walk through ADF to Databricks to serving with real examples. That landed me a Lead DE role in the UAE.”

    Manish Acharya on LinkedInLead Data Engineer, UAE

  • “…exactly what LSE interviewers asked about. It finally clicked as one system.”

    Toshita Chakraborty on LinkedInData Engineer, London Stock Exchange

  • “I applied RAG and embeddings on client work within weeks.”

    Arushi Gupta on LinkedInData Engineer, EXL
  • 6,433+Learners
  • Self-PacedCourse
  • 8Courses in one package
  • 9Projects Included

Why You Keep Getting Rejected

  1. You can explain Spark concepts on a whiteboard but freeze when they ask you to walk through a real pipeline you’ve built

  2. Every interview reaches the system design round and you can’t connect ingestion, transformation, and serving into one coherent answer

  3. Your resume lists tools and certifications but zero production projects, and recruiters see right through it

  4. You’ve done tutorials and Udemy courses but none of them gave you something you can demo in an interview

Interviewers don’t test what you’ve watched. They test what you’ve built.

Enroll Now - ₹9,999

What Actually Gets You Through Interviews

You build 9 real projects on a real Databricks workspace, not toy datasets or simulated environments. Then you walk through them step by step in any interview.

The Databricks workspace sidebar and the Serving endpoints page.

A real Databricks workspace

Not just slides and theory. Build and run pipelines on actual Databricks infrastructure, including serving endpoints.

The Databricks-Zero-to-Hero GitHub repository with notebooks such as Ingestion to Staging and Gold Layer.

End-to-end projects

Ingestion, transformation, serving and reporting in one project, so the system design round has an answer you actually built.

GitHub Actions showing runs of the Deploy Databricks Asset Bundle workflow, with passed and failed runs.

CI/CD with GitHub Actions

Deploy Databricks Asset Bundle workflows and show interviewers you understand DevOps.

Cover art for the PySpark Interview Preparation course.

PySpark Interview Preparation

A module designed for cracking interviews, with the PySpark questions worked through in code.

Resume building support

Present your projects the right way, so recruiters see production work instead of a list of tools.

9projects to put on your resume and walk through in interviews

8 courses. 34+ chapters across the core tracks.

The GeekCoders course portal showing all eight Databricks Zero to Expert courses, with chapter counts and lifetime validity on each.
  1. 01PySpark Interview PreparationInterview prep
  2. 02Databricks Certified Data Engineer Associate13 chaptersCore
  3. 03Data Warehouse on Databricks14 chaptersCore
  4. 04Generative AI Application Development7 chaptersBonus
  5. 05End-to-End Project with Delta Lake
  6. 06Live Generative AI Engineer TrainingBonus
  7. 07End-to-End Gen AI ProjectBonus
  8. 08Agentic AI BootcampNew

Inside the Databricks Curriculum

Open any course to see what it covers. The PySpark interview module and the two core tracks are highlighted.

01 PySpark Interview PreparationBuilt for cracking interviews Interview prep

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.

Cover art for the PySpark Interview Preparation course
02 Databricks Certified Data Engineer Associate13 chapters Core

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.

Cover art for the Databricks Certified Data Engineer Associate course
03 Data Warehouse on Databricks14 chapters Core

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.

Cover art for the Data Warehouse on Databricks course
04 Generative AI Application Development7 chapters Bonus

Seven chapters on building Gen AI applications on Databricks. Notebook-first, so you build as you learn.

Cover art for the Generative AI Application Development course
05 End-to-End Project with Delta LakeProject

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.

Cover art for the End-to-End Project with Delta Lake course
06 Live Generative AI Engineer TrainingPre-recorded Bonus

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 with Sagar.

Cover art for the Live Generative AI Engineer Training course
07 End-to-End Gen AI ProjectProject Bonus

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.

Cover art for the End-to-End Gen AI Project course
08 Agentic AI BootcampBootcamp New

A bootcamp on building agentic AI applications, added on top of the core Databricks tracks.

Cover art for the Agentic AI Bootcamp course

This Is What You’ll Build and Demo in Interviews

Real screenshots from the Databricks workspace students work with.

Databricks Serving endpoints page listing several agent endpoints with their state, served entities and owners.
Your Databricks workspace with real serving endpoints
The Data Dictionary app showing the demo.bronze.customers table with column names, business names, comments and PII tags.
Data Dictionary you’ll build for production tables
The DQ Rules Suggester app listing suggested not-null and allowed-values rules with their Spark SQL constraints.
DQ Rules engine you’ll configure
The Databricks Apps page listing deployed apps including data-quality-final, governance-agent-app and governance-data-dictionary.
Databricks Apps you’ll deploy
GitHub Actions showing the Deploy Databricks Asset Bundle workflow with a list of pipeline runs.
CI/CD pipeline with GitHub Actions
The public Databricks-Zero-to-Hero GitHub repository with notebooks for ingestion, gold layer and vector search, and 18 commits.
Production code in the public Databricks-Zero-to-Hero repo

Engineers Who Made the Switch

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.”

Manish Acharya on LinkedInLead Data Engineer, 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.”

Toshita Chakraborty on LinkedInData Engineer, London Stock Exchange

“Sagar’s modules are paced for working engineers - notebook-first, no fluff. I applied RAG and embeddings on client work within weeks.”

Arushi Gupta on LinkedInData Engineer, EXL
Sagar Prajapati, founder of GeekCoders

Your Instructor

Sagar Prajapati

Databricks practitioner and founder of GeekCoders

Built the platform from scratch to 6,433+ learners. His teaching approach 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.

Databricks Zero to Expert - Complete Package

Regular price ₹24,999 Your price ₹9,999

One-time payment. Lifetime access.

Start Learning Now

Secure payment. Instant portal access via email.

  • 8 courses and 9 projects, from PySpark interview prep to Agentic AI
  • 80 hours of self-paced pre-recorded content, on your own schedule
  • Real Databricks workspace access
  • GitHub repos with production code
  • CI/CD with GitHub Actions and Databricks Asset Bundles
  • PySpark Interview Preparation module
  • Resume building support
  • Weekend doubt-clearing sessions directly with Sagar
  • Lifetime access

Questions Before You Enroll

Do I need prior Databricks experience?

No. The course starts from zero and goes to expert level.

How long do I have access?

Lifetime access. Learn at your own pace.

Is this live or recorded?

All modules are pre-recorded so you can learn at your own pace, on your own schedule. Lifetime access means you can rewatch any lesson anytime. Plus, Sagar runs weekend doubt-clearing sessions where you can ask questions directly.

Is this just video content?

No. You get a real Databricks workspace, GitHub repos with production code, and a dedicated PySpark interview prep module.

Will this actually help me crack interviews?

Yes. The course is built around 9 end-to-end projects that cover exactly what interviewers ask: pipeline design, data modeling, CI/CD, and serving. Students have landed roles at London Stock Exchange, companies in the UAE, EXL, and more. Plus there’s a dedicated PySpark Interview Preparation module and resume building support.

I’ve already done Udemy/YouTube courses. How is this different?

Those courses teach concepts. This one gives you a real Databricks workspace to build production projects you can walk through in interviews. The difference is between knowing what a Delta Lake is and having built a full pipeline on one.

Your Next Interview Could Be the One That Lands It

Enroll Now - ₹9,999

Join 6,433+ engineers who stopped failing interviews

Enroll Now - ₹9,999