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5-Course Combo · Databricks Zero to Expert

Databricks Zero to Expert: PySpark, Delta Lake & GenAI (With Projects & Interview Prep)

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.

5 Courses · Best Value Combo Self-paced · Lifetime Access Projects + Interview Prep

Students placed in top companies · up to 100% hike

Syllabus

Courses in the package

A detailed module-by-module breakdown of all 5 courses inside the combo. Each module is a full standalone course on the GeekCoders catalog — sequenced here as a single learning path: foundations → interview drill → end-to-end projects → production GenAI on Databricks.

5 Courses
100% Real-time content
Lifetime Access
Cert + GenAI Track
01

Databricks Certified Data Engineer · Zero to Hero

Foundation · Cert-aligned
  • Databricks workspace mastery — clusters, notebooks, repos, jobs, cluster policies, compute types
  • Apache Spark architecture — driver/executor model, DAGs, lazy evaluation, RDDs vs DataFrames
  • PySpark deep dive — transformations & actions, joins, aggregations, window functions, UDFs & pandas UDFs
  • Delta Lake internals — ACID transactions, MERGE, schema evolution, time travel, OPTIMIZE, VACUUM, Z-ORDER
  • Unity Catalog — catalogs & schemas, governance, fine-grained access control, lineage, service principals
  • Delta Live Tables (DLT) — declarative pipelines, expectations, change data capture, streaming tables
  • Databricks Workflows — job orchestration, multi-task pipelines, retries, dependencies, notifications
  • Latest Databricks UI features — Playground, Lakeflow, Dashboards, Alerts, SQL Editor
  • Mosaic AI & Vector Search basics — first GenAI POC on the Lakehouse
  • Certification prep — exam-pattern walkthroughs, practice tests, scoring guidance
02

Practice 50 PySpark Interview Questions

Interview Drill
  • 50 curated PySpark coding problems sourced from real MNC interview rounds
  • DataFrame API patterns — filter, select, joins, groupBy, aggregations, pivot/unpivot
  • Window functions — ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD, running totals, top-N per group
  • Spark SQL — analytical queries, deduplication, gaps & islands, sessionization patterns
  • Performance tuning — broadcast hints, repartition vs coalesce, AQE, skew handling
  • Data engineering scenarios — SCD Type 1/2, incremental loads, CDC handling, MERGE patterns
  • Step-by-step solution walkthroughs in Databricks notebooks with explanation of each design choice
  • Common interview traps — what interviewers actually evaluate and the "gotchas" that trip candidates
03

Databricks End-to-End Project · Delta Lake + GenAI

End-to-End Project
  • Project architecture — Bronze → Silver → Gold medallion layout on Delta Lake
  • Data ingestion — Auto Loader, Cloud Files, structured streaming for incremental pipelines
  • Transformations in PySpark — business logic, dimensional modeling, data quality enforcement
  • Delta features in production — CDF, MERGE, Z-ORDER, generated columns, identity columns
  • Vector Search index design — embedding pipelines, chunking strategies, similarity scoring
  • RAG pattern — retrieval, prompt construction, response grounding, citation handling
  • Mosaic AI Model Serving — endpoint deployment, auth, rate limits, monitoring
  • End-to-end GenAI feature — from raw documents to a governed, usable AI capability
04

Build AI Application using Databricks + LLM

Production AI App
  • LLM fundamentals on Databricks — Foundation Models & external models, prompt engineering basics
  • Mosaic AI Agent Framework — building tool-using agents on the Lakehouse
  • Vector Search — choosing fields, chunking strategy, filters, hybrid search, similarity thresholds
  • Unity Catalog functions as agent tools — governance + reusability for AI workflows
  • Model Serving — provisioned throughput vs pay-per-token, caching, monitoring
  • Evaluation — Mosaic AI Agent Evaluation, judges, regression testing for prompts
  • App layer — exposing the AI app via REST API or front-end UI with proper auth
  • End-to-end production AI application with logging, observability, and access control
05

Databricks End-to-End GenAI Project · Batch 3 🆕

Latest Flagship · 2026
  • Latest 2026 GenAI project — built on the newest Databricks Mosaic AI capabilities
  • Agent Bricks — defining agents declaratively with Unity Catalog-governed tools
  • Genie — natural-language analytics over the Lakehouse, integrated into the AI workflow
  • Lakeflow — modern ETL orchestration replacing traditional Workflows for AI pipelines
  • Vector Search at scale — index sizing, hybrid retrieval, filter pushdown, freshness
  • Mosaic AI Agent Evaluation — production evaluation harness, judge models, online metrics
  • Model serving + monitoring — provisioned throughput endpoints, cost controls, drift detection
  • Final deliverable — a resume-grade GenAI flagship project that recruiters reply to within hours
Databricks Certified Data Engineer - Zero to Hero

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Practice 50 PySpark Interview Questions

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Build AI Application using Databricks and LLM

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Student feedback

What learners say

★★★★★
The Databricks deep-dive is unmatched. Spark internals, Delta Lake, Unity Catalog, DLT — all covered with real scenarios. Cleared the Databricks Certification on first attempt.
Toshita
Toshita London Stock Exchange
★★★★★
The GenAI + Databricks project changed my resume completely. Recruiters started replying within hours once I added Vector Search and RAG on Databricks. 100% real-time content.
Surajit
Surajit LatentView Analytics
★★★★★
Sagar explains every Databricks concept with end-to-end production context. The 50 PySpark questions alone are worth the bundle price. Now leading a Databricks project.
Mahesh
Mahesh Persistent Systems
What we offer

Why this combo works

Pre-recorded Lessons

Self-paced video lessons you can pause, rewind, and rewatch anytime. No fixed class schedule.

Cert + Project + Interview

The only Databricks combo that bundles certification prep, real projects, and 50+ PySpark interview problems together.

Community & Networking

Join 6,000+ learners. Network, get doubt resolution, and collaborate in exclusive chat groups.

2 GenAI Flagship Projects

Build two production-grade GenAI applications using Mosaic AI, Vector Search, RAG, and Agent Bricks — straight onto your resume.

50 PySpark Drill

50 real interview problems solved end-to-end in Databricks notebooks — the strongest PySpark prep on the market.

Verified Certificates

Earn a shareable certificate per course on completion — add them to LinkedIn with a single click.

Common questions

Got questions?

Quick answers about this 5-course Databricks Zero to Expert combo.

Still unsure?

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What does this 5-course combo include?

Five Databricks-focused courses sequenced as one path: (1) Databricks Certified Data Engineer · Zero to Hero, (2) Practice 50 PySpark Interview Questions, (3) Databricks End-to-End Project · Delta Lake + GenAI, (4) Build AI Application using Databricks + LLM, and (5) Databricks End-to-End GenAI Project · Batch 3 (the latest 2026 flagship).

Is this pre-recorded or live?

All 5 courses are pre-recorded with lifetime access. Learn at your own pace — start, pause, and resume anytime. No fixed class schedule.

Will this prepare me for the Databricks Certified Data Engineer exam?

Yes. Module 1 (Zero to Hero) is built around the certification exam syllabus — Spark, Delta Lake, Unity Catalog, DLT, Workflows. Modules 2–5 give you the hands-on depth that exam questions assume. Multiple students have cleared the exam on first attempt using this content.

Do I need prior experience?

Basic Python and SQL knowledge is recommended. Spark/Databricks experience is not required — Module 1 starts from fundamentals and builds up to production-grade scenarios.

What's covered on the GenAI side?

Three of the five courses go deep into GenAI on Databricks — Vector Search, RAG, Mosaic AI Agent Framework, Agent Bricks, Genie, Lakeflow, Model Serving, and end-to-end production deployment patterns. By the end you'll have two flagship GenAI projects on your resume.

Will I get a certificate for each course?

Yes. You receive a verified GeekCoders certificate for each of the 5 courses you complete within the combo — sharable directly on LinkedIn.

Do I get access to all 5 courses immediately?

Yes — on purchase you get instant lifetime access to all 5 courses simultaneously. Work through them in any order you choose.

What's the refund policy?

7-day no-questions-asked refund window from the date of purchase. See our refund policy for full terms.

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