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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 AWS Cloud Fundamentals for Data Engineers
Module 2 Amazon S3 & Data Lake Architecture
Module 3 Python & PySpark for AWS Data Engineering
Module 4 AWS Glue Data Catalog & Data Ingestion
Module 5 AWS Glue ETL & Data Transformation
Module 6 Amazon EMR & Big Data Processing
Module 7 Data Warehouse with Amazon Redshift
Module 8 Serverless Analytics with Athena
Module 9 Workflow Orchestration, CI/CD & Monitoring
Module 10 End-to-End Lakehouse & Real-Time Data Engineering Project
BEGINNER FRIENDLY

Module 1 - AWS Cloud Fundamentals for Data Engineers

AWS Global Infrastructure (Regions, AZs, VPC)
AWS Data Engineering Ecosystem
IAM, Roles, Policies & Security
AWS Cost Management Basics
AWS CLI & SDK (Boto3)
Data Engineering Architecture on AWS
TOOLS & TECHNOLOGIES:
PROJECTS:
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Tools & Technologies You'll Master

AWS Glue
Amazon S3
Amazon Redshift
AWS EMR
langchain
huggingface
Pinecone
python
AWS Glue
Amazon S3
Amazon Redshift
AWS EMR
langchain
huggingface
Pinecone
python
AWS Athena
AWS Lambda
Apache Airflow
chatgpt
fastapi
aws
docker
AWS Athena
AWS Lambda
Apache Airflow
chatgpt
fastapi
aws
docker

EXPERT FACULTY

Learn from the Best

faculty-profile

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

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Vector DBs for RAG Applications

18:20

Vector DBs for RAG Applications

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Real-Time Pipelines with Kafka

21:05

Real-Time Pipelines with Kafka

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Data Mesh Architecture Explained

15:30

Data Mesh Architecture Explained

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Feedback

Student Feedback — Dr. Aris T. (1)

04:12

Student Feedback — Dr. Aris T. (1)

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Student Feedback — Dr. Aris T. (2)

05:48

Student Feedback — Dr. Aris T. (2)

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Student Feedback — Dr. Aris T. (3)

03:55

Student Feedback — Dr. Aris T. (3)

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Student Feedback — Dr. Aris T. (4)

06:20

Student Feedback — Dr. Aris T. (4)

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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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