Databricks Certified Data Engineer Zero to Hero
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GeekCoders · Databricks Certified

Databricks Certified Data Engineer - Zero to Hero

Go from data enthusiast to Databricks Certified Data Engineer extraordinaire with our comprehensive Zero to Hero course - your journey to mastery starts here!

starstarstarstarstar_half 4.6 · 10 ratings
521 learners
English
Taught by Sagar Prajapati
01 · Overview

About this course

Dive into the world of Databricks with this comprehensive Zero to Hero course that will equip you with the skills needed to become a certified Data Engineer.

Key Highlights

  • Hands-on experience with the Databricks platform
  • Expert-led training sessions
  • Pre-recorded videos and assessments
What you'll master

10 core modules covered end-to-end

01

Spark Architecture

02

Databricks UI Features

03

Data Manipulation with PySpark

04

Spark Optimization Methods

05

Delta Lake Architecture

06

Batch & Streaming Processing

07

Unity Catalog

08

Utilities & Frameworks

09

Delta Live Tables

10

Gen AI & LLM POC

02 · Curriculum

Course curriculum

A structured 10-module path from Spark fundamentals to Gen AI on Databricks. Every module includes live sessions, recorded videos, hands-on labs, and assessments.

10 Modules
60+ Lessons
40+ Hands-on labs
1 Capstone project
01

Spark Architecture

6 lessons · 2h 15m
  • Introduction to Apache Spark & distributed computing
  • Driver, executors, cluster manager & job lifecycle
  • RDDs, DataFrames & Datasets — when to use what
  • Transformations vs. actions · lazy evaluation
  • Catalyst optimizer & Tungsten execution engine
  • Reading the Spark UI & DAG visualization
02

Databricks UI Features

5 lessons · 1h 40m
  • Workspace, notebooks & repos tour
  • Cluster types, pools & compute configuration
  • Jobs, workflows & scheduled pipelines
  • Databricks SQL warehouses & dashboards
  • Secrets, tokens & workspace administration
03

Data Manipulation with PySpark

9 lessons · 3h 30m
  • Reading & writing files (CSV, Parquet, JSON, Delta)
  • Selecting, filtering & deriving columns
  • Joins, unions & set operations
  • Window functions & aggregations
  • UDFs, pandas UDFs & vectorized operations
  • Handling nested & semi-structured data
  • Date, string & null-handling functions
  • PySpark SQL & temp views
  • Practical exercise: end-to-end transformation
04

Spark Optimization Methods

7 lessons · 2h 50m
  • Partitioning strategies & repartition vs. coalesce
  • Broadcast joins & join hints
  • Shuffle, skew & salting techniques
  • Caching, persistence & checkpointing
  • Adaptive Query Execution (AQE)
  • File sizing, compaction & Z-ordering
  • Reading query plans & diagnosing bottlenecks
05

Delta Lake — Architecture

8 lessons · 3h 10m
  • Why Delta Lake: ACID on the data lake
  • Transaction log & storage layout deep dive
  • MERGE, UPDATE, DELETE & upsert patterns
  • Time travel & versioning
  • Schema evolution & enforcement
  • OPTIMIZE, VACUUM & Z-ORDER
  • Change Data Feed (CDF)
  • Medallion architecture: Bronze · Silver · Gold
06

Batch & Streaming Processing

7 lessons · 3h
  • Structured Streaming fundamentals
  • Sources, sinks & triggers
  • Watermarks & stateful streaming
  • Auto Loader for scalable ingestion
  • Checkpointing & fault tolerance
  • Stream-stream & stream-static joins
  • Project: real-time sentiment pipeline
07

Unity Catalog

6 lessons · 2h 20m
  • UC architecture: metastore, catalog, schema, table
  • Managed vs. external tables & volumes
  • Fine-grained access control & row/column filters
  • Data lineage & audit logs
  • Delta Sharing & cross-workspace access
  • Migrating from Hive metastore to UC
08

Utilities & Frameworks

6 lessons · 2h
  • dbutils deep dive: fs, secrets, widgets, notebook
  • Databricks CLI & REST API basics
  • Databricks SDK for Python
  • Databricks Asset Bundles (DABs)
  • CI/CD with GitHub Actions & repos
  • Reusable PySpark framework patterns
09

Delta Live Tables (DLT)

6 lessons · 2h 30m
  • Introduction to declarative pipelines
  • Streaming tables & materialized views
  • Data quality expectations & quarantine
  • Change Data Capture with DLT
  • Pipeline monitoring & event logs
  • End-to-end DLT project
10

Gen AI & LLM POC

6 lessons · 2h 45m
  • Gen AI on Databricks: what's possible today
  • Vector Search & embeddings at scale
  • Model Serving & foundation models
  • Building a RAG application end-to-end
  • Databricks Agent Framework & UC functions
  • Capstone: deploy an LLM POC
03 · What's included

Everything you need to level up

01

Live learning

Learn live with top educators, chat with teachers and other attendees, and get your doubts cleared in real time.

02

Structured learning

A curriculum designed by industry experts to take you from first principles to production-grade competence.

03

Community & network

Join an exclusive cohort of ambitious engineers. Network, collaborate on projects, and build career-shaping connections.

04

Doubt solving

Stuck on a bug or concept? Post in the chat groups and get help from peers and instructors — fast.

05

Tests & quizzes

Reinforce what you learn with assessments, live quizzes, and project-based evaluations you can track over time.

06

Verified certificate

Earn a shareable certificate on completion. Add it to your LinkedIn profile with a single click.

04 · Testimonials

Loved by engineers who ship

What past learners say about working through the program.

4.6 Avg. rating
521 Learners
94% Completion
The depth on Delta Lake internals and Unity Catalog is something I couldn't find anywhere else. I passed the Databricks Data Engineer Associate exam three weeks after finishing.
RK
Rohit Kapoor Senior Data Engineer · Fintech
Best Databricks cohort I've been part of. Sagar's live debugging sessions alone are worth the price.
AS
Anika Shah Analytics Engineer
Got promoted to Data Platform Lead within 4 months. The DLT and Unity Catalog modules changed how I design pipelines.
VM
Vikram Menon Data Platform Lead
I appreciated how opinionated the course is. Real-world decisions, not vendor-neutral vanilla content.
PN
Priya Nair Staff Engineer · Retail
The community is unreal. Got job referrals from two cohort members in the first month.
DG
Dhruv Gupta DE · Healthcare SaaS
05 · FAQ

Frequently asked questions

Quick answers to common questions. Can't find what you need? Drop us a note — we'll reply within 24 hours.

Ask a question
Who is this course for?

Data engineers, analytics engineers, and developers who want production-grade skills in Databricks, PySpark, Delta Lake, and Unity Catalog — and want to prepare for the Databricks Certified Data Engineer exam. Working knowledge of SQL and Python is recommended.

Do I need a Databricks account or paid workspace?

No. You can follow along using the Databricks Community Edition or Databricks Free Edition for most modules. For Unity Catalog and cloud-specific features, we guide you through setting up a free Azure / AWS trial workspace.

Is this course self-paced or live?

Both. You get lifetime access to pre-recorded videos and assessments, plus invitations to live Q&A sessions and doubt-solving clinics.

Will this help me pass the Databricks certification?

Yes. The curriculum maps closely to the Databricks Certified Data Engineer Associate exam objectives, and we include practice questions and a mock exam in the final module.

Is there a certificate of completion?

Yes. Once you complete all modules and the capstone project, you receive a verified GeekCoders certificate you can share on LinkedIn in one click.

What's the refund policy?

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

Will I get job placement assistance?

We share curated openings in our alumni network, run mock interviews, and help review resumes. We don't guarantee placements — but alumni have landed roles at top data teams across India and abroad.

$149

$199

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