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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 Data Engineering & Generative AI Foundations

Module 2 SQL, Python & Data Processing Fundamentals

Module 3 Cloud Data Lake & Data Warehouse Architecture

Module 4 PySpark & Big Data Engineering

Module 5 Data Pipelines & Workflow Orchestration

Module 6 Generative AI & Large Language Models

Module 7 Vector Databases & Retrieval-Augmented Generation (RAG)

Module 8 Agentic AI & Multi-Agent Systems

Module 9 LLMOps, MLOps & Production Deployment

Module 10 End-to-End GenAI Data Engineering Project

BEGINNER FRIENDLY

Module 1 - Data Engineering & Generative AI Foundations

Modern data engineers are increasingly expected to understand AI pipelines, LLMs, and AI-ready data architectures.

Introduction to Data Engineering

Evolution of Generative AI & LLMs

Data Engineering Lifecycle

AI-Powered Data Platforms

Prompt Engineering Fundamentals

OpenAI, Claude, Gemini & Open-Source Models

GenAI Use Cases in Data Engineering

Responsible AI & Governance Basics

TOOLS & TECHNOLOGIES:

PROJECTS:

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Tools & Technologies You'll Master

Databricks

Azure Data Factory

PySpark

Apache Spark

Kafka

Airflow

SQL

Generative AI

Pinecone

python

fastapi

aws

Databricks

Azure Data Factory

PySpark

Apache Spark

Kafka

Airflow

SQL

Generative AI

Pinecone

python

fastapi

aws

Delta Lake

LangGraph

GitHub

Vector Databases

chatgpt

langchain

huggingface

docker

Delta Lake

LangGraph

GitHub

Vector Databases

chatgpt

langchain

huggingface

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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