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Track 1

Database Developer

Focus on enterprise-grade data management, providing a robust foundation in database systems and scalable data architecture. This specialized track ensures proficiency in core technical competencies.

Who this track is for

Beginners or career changers starting in data, database design, data analysis and management, moving into data engineering or AI-augmented data-related positions.

Course List
Fundamentals of Databases and SQL Programming
Python Programming for Data
Fundamentals of Cloud Computing
Data Transformation and ETL Process
Data Analysis and Quality Assurance
Modern API Development
Data Visualization Implementation

The Data and Cloud Engineering Program is a rigorous training path offering two distinct tracks: Track 1 – Database Developer and Track 2 – Cloud and Data Engineering. By blending advanced theory with hands-on practice, we equip our students for success in high-level enterprise roles, enabling them to navigate and build scalable cloud architectures efficiently.

Data and Cloud Engineering Program

Track 2

Cloud and Data Engineering

Master the design and implementation of distributed computing systems and automated cloud data pipelines using cutting-edge technology.

Who this track is for
Aspiring data engineers with some programming background. Cloud or BI professionals upskilling into data engineering. Teams building modern data platforms.

Course List
Cloud Data Engineering Architecture Fundamentals
Microsoft Fabric for Data Engineers
Implementing Lakehouse Architecture for Data Warehousing
Data Ingestion and Orchestration
Python, PySpark, and Notebooks for Data Engineering
Real-Time and Advanced Analytics
Enterprise Reporting using PowerBI
Data Security, Governance, Monitoring, and Performance Optimization

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