AI-Powered Data Engineering (Multi-Cloud) is a comprehensive, industry-focused program designed to build modern data engineers with strong AI integration capabilities.

This program combines core Data Engineering fundamentals, multi-cloud architecture, and AI system design to prepare learners for real-world enterprise environments.

What This Program Covers

1️⃣ Data Engineering Foundations

• SQL (Advanced querying, optimization, performance tuning)

• Python for Data Engineering

• Data structures & transformation techniques

• Data modeling concepts

2️⃣ Big Data & Distributed Systems

• Hadoop ecosystem

• HDFS & MapReduce fundamentals

• Spark architecture

• PySpark for large-scale data processing

• Batch and streaming pipelines

3️⃣ Cloud Data Engineering – Multi-Cloud Approach

Azure (Deep Coverage)

• Azure Data Factory

• Azure Data Lake

• Azure Synapse

• Microsoft Fabric

• End-to-end data pipeline implementation

AWS (High-Level Architecture)

• S3, Glue, Redshift overview

• Data pipeline architecture

• Cloud storage and compute design

GCP (High-Level Exposure)

• BigQuery fundamentals

• Cloud storage & data workflows

4️⃣ CI/CD & Production Readiness

• Git & version control

• CI/CD pipeline concepts

• Deployment strategies

• Data pipeline automation

• Monitoring & logging basics

5️⃣ AI Integration in Data Engineering

• Introduction to Large Language Models (LLMs)

• Embeddings & Vector Databases

• Retrieval-Augmented Generation (RAG)

• AI-powered data workflows

• Integrating LLMs into data pipelines

• Building intelligent data applications

What Makes This Program Unique

• Multi-cloud exposure (Azure deep + AWS/GCP architecture)

• Strong Big Data foundation

• AI & LLM integration (future-ready skills)

• Real-world, project-based learning

• End-to-end data pipeline development

• Production-ready mindset

Who This Program Is For

• Aspiring Data Engineers

• Working professionals upgrading to cloud + AI

• Developers transitioning into data roles

• Engineers aiming for Architect-level understanding

Career Outcomes

After completing this program, learners can confidently apply for roles such as:

• Data Engineer

• Cloud Data Engineer

• Big Data Engineer

• AI-Integrated Data Engineer /  AI Data Engineer

• Junior Data Architect