Our Training Programs
Industry-recognized certifications and real-time project-based training designed to accelerate your career in the cloud.
Azure Data Factory (ADF)
Azure Data Factory (ADF) is a cloud-based data integration and orchestration service that enables organizations to build, automate, and manage scalable ETL/ELT data pipelines. Learn how to connect multiple data sources, transform data, implement enterprise-grade ingestion frameworks, integrate REST APIs, and automate end-to-end data workflows using industry best practices and real-world projects. This course is designed to provide hands-on experience with Azure Data Factory, ADLS Gen2, SQL, incremental loading, monitoring, and production-ready data engineering solutions.
Azure Data Bricks(Beginner)
Azure Databricks with PySpark is a comprehensive, hands-on training program designed to help you master modern data engineering on the Azure platform. Learn Azure Databricks, PySpark, Delta Lake, Unity Catalog, data governance, Azure SQL integration, and end-to-end ETL pipeline development through real-world projects and industry best practices. This course equips you with the skills required to build scalable data solutions, optimize Spark workloads, and prepare for Azure Data Engineering and Databricks-related roles.
Azure Data Bricks(intermediate)
Azure Databricks with PySpark is a comprehensive data engineering course designed to help you build scalable ETL pipelines, process big data using PySpark, manage Delta Lake, implement Unity Catalog governance, and integrate Azure services. Gain hands-on experience through real-world projects, industry best practices, and interview-focused training to become job-ready in modern data engineering.
Azure Data Bricks(Advanced)
Advanced Azure Databricks Lakehouse Engineering is an industry-focused program designed to help you master Delta Lake, Auto Loader, Unity Catalog, Delta Live Tables (DLT), Lakeflow Pipelines, and real-time streaming architectures. Learn how to build scalable, high-performance data platforms using modern Lakehouse principles, enterprise governance, and production-grade pipeline frameworks. This course includes hands-on projects, performance optimization techniques, and interview preparation to help you become a job-ready Databricks Data Engineer.
Azure Data Bricks(Mastery)
Azure Data Factory (ADF) Data Engineering Master Program is a comprehensive hands-on course designed to help you master enterprise data integration, ETL/ELT pipeline development, Azure Data Lake Storage (ADLS Gen2), REST API integrations, metadata-driven frameworks, incremental loading strategies, and production-grade automation. Learn how to build scalable, secure, and reusable data pipelines using Azure Data Factory through real-world projects, industry best practices, and interview-focused training.
Python
Python Programming Master Course is a comprehensive training program designed for beginners and aspiring software developers. Learn Python from fundamentals to advanced concepts, including Object-Oriented Programming, File Handling, Database Integration, APIs, Django Web Development, and Real-Time Projects. Gain hands-on experience through practical assignments, industry-focused projects, and interview preparation to become job-ready as a Python Developer.
SQL
SQL for Data Engineering & Database Development is a comprehensive training program designed to help you master SQL from beginner to advanced level. Learn database design, complex queries, joins, window functions, stored procedures, performance tuning, ETL concepts, and real-world database projects. This course provides hands-on practice, interview preparation, and industry-focused scenarios to help you become a skilled SQL Developer, Data Analyst, or Data Engineer.