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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 AI, Machine Learning & Generative AI Foundations

Module 2 Working with LLM APIs & AI Application Development

Module 3 Prompt Engineering for Data Analysts

Module 4 AI-Powered Data Analysis & Exploratory Data Analysis (EDA)

Module 5 Natural Language to SQL (NL2SQL)

Module 6 AI-Powered Reporting & Dashboard Automation

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

Module 8 Enterprise RAG & AI Copilots

Module 9 AI Agents & Workflow Automation

Module 10 Deployment, LLMOps, Ethics & Capstone Project

BEGINNER FRIENDLY

Module 1 - AI, Machine Learning & Generative AI Foundations

AI vs ML vs Deep Learning vs Generative AI

Types of Generative AI Models

LLMs, GANs & Diffusion Models

Transformer Architecture

Tokens, Embeddings & Context Windows

How LLMs Generate Responses

AI Applications in Data Analytics

ChatGPT, Gemini & Claude Overview

TOOLS & TECHNOLOGIES:

PROJECTS:

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Tools & Technologies You'll Master

Microsoft Excel

Power Query

Power Pivot

SQL Server

Power BI

Tableau

Jupyter Notebook

Microsoft Copilot

chatgpt

langchain

huggingface

Pinecone

Microsoft Excel

Power Query

Power Pivot

SQL Server

Power BI

Tableau

Jupyter Notebook

Microsoft Copilot

chatgpt

langchain

huggingface

Pinecone

MySQL

PostgreSQL

Pandas

NumPy

Google Gemini

DAX

Statistics

Data Visualization Frameworks

python

fastapi

aws

docker

MySQL

PostgreSQL

Pandas

NumPy

Google Gemini

DAX

Statistics

Data Visualization Frameworks

python

fastapi

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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