About the course

📘 Course Description

This 90-day intensive Azure Data Engineering course is designed to equip professionals with the skills required to build scalable, reliable, and secure data solutions using Microsoft Azure. Aligned with the DP-203 certification, the course takes you through a hands-on journey across core Azure services such as Data Factory, Data Lake, Synapse Analytics, Databricks, Stream Analytics, Cosmos DB, and SQL.

Whether you're a beginner looking to enter the world of cloud data engineering or an experienced professional aiming to upskill, this course provides real-world projects, industry-aligned modules, and step-by-step mentorship to help you become a job-ready Azure Data Engineer.

🛠️ Tools & Services Covered

• Azure Portal

• Azure Storage Explorer

• Azure Data Factory (ADF)

• Azure Databricks (with Spark & PySpark)

• Azure Data Lake Storage Gen2

• Azure SQL Database & Managed Instance

• Azure Synapse Analytics

• Azure Stream Analytics

• Azure Cosmos DB

• Azure Key Vault

• Power BI (Optional)

• SQL & PySpark

📆 Training Duration

• Total Duration: 90 Days

• Mode: Online Live Sessions / Hybrid

• Daily Schedule: 1.5 to 2 Hours per Day

• Assignments + Real-Time Projects Included

🎯 What You Will Learn

• Core data engineering concepts & file formats

• Managing Azure Storage, Tables, and Blob data

• Building and securing Azure Data Lakes

• Creating and managing Azure SQL databases

• Writing complex queries in T-SQL and optimizing them

• Building scalable ETL pipelines with Azure Data Factory

• Processing large-scale data using Azure Databricks and Delta Lake

• Building real-time stream processing apps with Azure Stream Analytics

• Managing NoSQL data with Azure Cosmos DB

• Implementing end-to-end pipelines using PySpark and ADF

• Real-world project experience and mock interviews