All 11 modules in the right learning order — SQL, Python, Data Factory, Databricks, Synapse, Microsoft Fabric and Power BI — plus the projects you build and DP-700 preparation.
✍️ Azure Trainings trainers⏱ 4 min read📅 Updated 11 October 2026
A complete Azure Data Engineer syllabus covers SQL, Python, data warehousing, ETL/ELT, Azure Data Factory, ADLS Gen2, Databricks with PySpark and Delta Lake, Synapse, Microsoft Fabric and Power BI. The course runs about two to three months, includes hands-on projects, and prepares you for DP-700 — the exam that replaced the retired DP-203. This Azure Data Engineer Syllabus guide explains each part in simple steps.
Spend extra time on SQL and Python before Azure tools.
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Freshers
Add more projects and interview practice.
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Working professionals
Weekend or evening batches; map your SQL/ETL skills to Azure and Fabric.
After the course
Skills you will have after the course
✅ Good SQL and Python✅ Data models and lakehouses✅ Pipelines in ADF and Fabric✅ Big data with Spark✅ Secure, monitored pipelines✅ Confident project explanations
See this syllabus as a live course Our follows this order with live labs, projects and placement support. Or follow the on your own. Our course covers Azure Data Engineer Syllabus end to end.
You can learn Azure Data Engineer Syllabus in our live classroom batches near JNTU/KPHB or in live online batches with Azure Trainings. Book a free demo class to see how we teach before you join.
Yes. This Azure Data Engineer Syllabus guide is reviewed by our trainers and was last updated in October 2026.
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Written by the Azure Trainings training team
Based on what we teach in our batches and see in real projects. Last updated 11 October 2026. We review this Azure Data Engineer Syllabus guide regularly. Spotted something outdated? Tell us on WhatsApp.
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