Azure Data Engineering Course

Master the art of building end-to-end data pipelines using Microsoft’s powerful cloud platform. This course is tailored to prepare you for real-world challenges and roles like Azure Data Engineer, Data Analyst, or Big Data Developer.

What you’ll learn:
– Ingest, transform, and load data using Azure Data Factory & Azure Synapse
– Implement data lakes and lakehouses with Azure Data Lake Storage
– Work with Azure SQL, Cosmos DB, and Azure Databricks
– Monitor, optimize, and automate data workflows
– Prepare for the DP-203 certification

Ideal for: Professionals aiming for data roles on the Azure ecosystem or planning to get certified.

AWS Data Engineering Course

Dive deep into the Amazon Web Services stack and learn how to build secure, scalable, and cost-effective data pipelines in the cloud. From data lakes to real-time processing, this course has you covered.

What you’ll learn:
– Design modern data architecture with S3, Glue, and Redshift
– Automate data workflows using AWS Lambda and Step Functions
– Perform ETL/ELT using AWS Glue and EMR
– Real-time data processing with Kinesis
– Best practices for data security and cost optimization

Ideal for: Data professionals who want to build on AWS, or pursue the AWS Data Analytics certification.

Microsoft Fabric Course

Explore the next-generation, all-in-one analytics platform that brings together data engineering, data science, real-time analytics, and business intelligence.

What you’ll learn:
– Unified data engineering using Lakehouse and OneLake architecture
– Integrate pipelines across Power BI, Synapse, and Data Factory
– Workspaces, Dataflows, Notebooks, and Real-Time Analytics
– Hands-on implementation of Fabric capacities and security models
– Build governed, reusable datasets across the organization

Ideal for: Data professionals, BI developers, or Power Platform users looking to future-proof their data skills with Microsoft Fabric.

Databricks Course

Learn how to harness the full power of Apache Spark with Databricks – a leading platform for data engineering, machine learning, and analytics.

What you’ll learn:
– Build and deploy scalable Spark-based ETL pipelines
– Use Delta Lake for ACID-compliant data lakes
– Optimize data pipelines for performance and reliability
– Automate workflows with Databricks Jobs and Workflows
– Collaborate through notebooks and MLflow tracking

Ideal for: Data engineers, analysts, and data scientists working in multi-cloud environments.

Why Choose Our Data Engineering Program?

– Expert Trainers with real-world experience
– Hands-on Projects using real datasets
– Certification Guidance for DP-203, AWS, and Databricks
– Career-Focused Curriculum tailored to industry needs
– Placement Assistance & Resume Building

Whether you’re preparing for your next role in a Fortune 500 company or want to specialize in a specific data platform, our Data Engineering courses provide the skills and experience to get you there.

📅 New Batches Every Month | Online & Classroom Available

Start your journey today. Become a certified, job-ready data engineer with the platform of your choice — or master them all.