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Master Advanced Data Engineering with AI

Build scalable data pipelines, master cloud architecture, and integrate GenAI. A rigorous 24-week program designed for tech professionals looking to break into top-tier Data Engineering roles.

Basic AI Agents & Automation Systems

Learn LLMs, RAG, Prompt Engineering

Work on Real AI Projects

Placement Support Included

2200+ Career Transformations

300+ Hiring Partners

4.8★ Google Rating

90% Placement Assistance

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Master Advanced Data Engineering with AI

Master Industry-Relevant Skills Through a Structured Learning Path

Module 1 Introduction to Databricks & Lakehouse Architecture

Module 2 Databricks Workspace, DBFS & Utilities

Module 3 PySpark Fundamentals for Data Engineering

Module 4 Advanced PySpark Transformations & Window Functions

Module 5 Spark Performance Optimization

Module 6 Delta Lake Fundamentals

Module 7 Delta Lake Advanced Operations & CDC

Module 8 Medallion Architecture & Data Modeling

Module 9 Databricks DevOps, CI/CD & Workflow Orchestration

Module 10 Databricks SQL, BI, Dashboards & Performance Engineering

BEGINNER FRIENDLY

Module 1 - Introduction to Databricks & Lakehouse Architecture

Introduction to Databricks and its ecosystem

Why Databricks for Data Engineering

Lakehouse Architecture fundamentals

Workspace, Clusters, Notebooks, Jobs, DBFS

Data Engineering lifecycle on Databricks

Control Plane vs Data Plane

Catalog, Schema, Tables, Unity Catalog basics

Managed vs External Tables

TOOLS & TECHNOLOGIES:

PROJECTS:

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Tools & Technologies You'll Master

Delta Live Tables (DLT)

Databricks Workflows

Unity Catalog

huggingface

Pinecone

python

fastapi

Delta Live Tables (DLT)

Databricks Workflows

Unity Catalog

huggingface

Pinecone

python

fastapi

Databricks Repos

DBFS

chatgpt

langchain

aws

docker

Databricks Repos

DBFS

chatgpt

langchain

aws

docker

EXPERT FACULTY

Learn from the Best

Dr. Aris T.

Principal Data Architect @ Meta

15+ Yrs Exp

Distributed Systems

GenAI Pipelines

Dr. Aris leads the Data Infrastructure team at Meta. He specializes in building petabyte-scale real-time processing engines and has pioneered several open-source data orchestration frameworks.

Excellent Tutor

4.9/5

Demo Lectures

Scaling Spark Clusters on AWS

12:45

Scaling Spark Clusters on AWS

Vector DBs for RAG Applications

18:20

Vector DBs for RAG Applications

Real-Time Pipelines with Kafka

21:05

Real-Time Pipelines with Kafka

Data Mesh Architecture Explained

15:30

Data Mesh Architecture Explained

Feedback

Student Feedback — Dr. Aris T. (1)

04:12

Student Feedback — Dr. Aris T. (1)

Student Feedback — Dr. Aris T. (2)

05:48

Student Feedback — Dr. Aris T. (2)

Student Feedback — Dr. Aris T. (3)

03:55

Student Feedback — Dr. Aris T. (3)

Student Feedback — Dr. Aris T. (4)

06:20

Student Feedback — Dr. Aris T. (4)

What Our Students Say

Career Transition to Data Engineering

Rahul Sharma

Data Engineer at Tech Solutions

4+ Years Experience

From Analyst to Data Engineer

Anjali Sahu

Data Engineer at Google

3+ Years Experience

Landing My First Data Science Role

Harsh Gupta

Data Scientist at Microsoft

2+ Years Experience

Breaking Into ML Engineering

Priya Verma

ML Engineer at Amazon

5+ Years Experience

Frequently Asked Questions

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