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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 Azure Cloud Fundamentals & Data Engineering Architecture
Module 2 Azure Storage & Data Lake Architecture
Module 3 SQL & Python for Data Engineering
Module 4 Azure Data Factory (ADF) & Data Ingestion
Module 5 Azure Databricks & PySpark
Module 6 Delta Lake & Lakehouse Architecture
Module 7 Azure Synapse Analytics
Module 8 Data Transformation, ETL & Medallion Architecture
Module 9 DevOps, CI/CD & Workflow Orchestration
Module 10 Power BI, Real-Time Analytics & Capstone Project
BEGINNER FRIENDLY

Module 1 - Azure Cloud Fundamentals & Data Engineering Architecture

Introduction to Cloud Computing
Microsoft Azure Fundamentals
Azure Data Engineering Ecosystem
Resource Groups & Azure Portal
Azure Identity & Access Management (IAM)
Azure Networking Basics
Data Engineering Lifecycle
Modern Data Platform Architecture
TOOLS & TECHNOLOGIES:
PROJECTS:
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Tools & Technologies You'll Master

Azure
Synapse Analytics
API
Snowflake
Azure DevOps
Azure Event Hub
Medallion Architecture
chatgpt
fastapi
aws
docker
Azure
Synapse Analytics
API
Snowflake
Azure DevOps
Azure Event Hub
Medallion Architecture
chatgpt
fastapi
aws
docker
Azure SQL
CI/CD Pipelines
Azure Data Lake Storage Gen2 (ADLS)
Azure Databricks
langchain
huggingface
Pinecone
python
Azure SQL
CI/CD Pipelines
Azure Data Lake Storage Gen2 (ADLS)
Azure Databricks
langchain
huggingface
Pinecone
python

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

5.0

Demo Lectures

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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

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