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Azure data factory certification training provided by MindMajix enables us to build the data-driven workflows to orchestrate data transformation and movement at scale. It empowers you with the proficiency to carry out big data engineering on the Microsoft Cloud. Our Azure Data Factory course covers concepts like Azure Data Lake Components, Azure Blob Storage, Data Partition, Azure SQL Database, and Polybase. Enrol in our Azure Data Factory online training to get trained by the best experts.
No coding background required to start. Whether you're new to IT or moving into data, MindMajix offers a structured path to learn Azure Data Factory from the basics of visual, low-code pipeline building.
Your Course Journey — From Enrolment to Career Readiness
Six guided stages take you from core data and Azure basics to building real pipelines, certification and interview preparation, and your first Azure data engineering role.
Begin with the role of Azure Data Factory in cloud ETL/ELT, understand core data concepts (relational vs non-relational, batch vs streaming), and explore the Azure portal, resource groups, and your first Data Factory instance in ADF Studio.
Create pipelines using linked services, datasets, and the Copy activity to move data between Azure SQL, ADLS Gen2, Blob storage, and REST/API sources, and learn how integration runtimes (Azure, Self-Hosted, and Azure-SSIS) connect your data securely.
Shape and clean data at scale using mapping data flows and wrangling data flows — joins, aggregates, derived columns, and expressions — plus parameters and dynamic content that make your pipelines reusable and metadata-driven.
Automate workflows with schedule, tumbling-window, and event-based triggers, add control-flow logic (ForEach, If Condition, Lookup), monitor pipeline runs, and set up Git integration and CI/CD for reliable, repeatable deployments.
Get ready for the current DP-700 (Fabric Data Engineer Associate) exam — note that DP-203 retired on 31 March 2025 — and practice common ADF interview questions on pipelines, integration runtimes, incremental loads, and performance tuning.
Build a strong Azure Data Factory portfolio using our resume Templates with end-to-end pipeline projects, and continue toward Synapse, Databricks, and Microsoft Fabric to advance into senior data engineering roles.
Start the journey today - choose the training format that fits you.
This Azure Data Factory course curriculum is prepared as per the latest trends in ETL. It empowers you with the expertise to perform every activity of the ETL process. Explore the following Azure Data Factory course modules:
Our Azure Data Factory(ADF) Training course aims to deliver quality training that covers solid fundamental knowledge on core concepts with a practical approach. Such exposure to the current industry use-cases and scenarios will help learners scale up their skills and perform real-time projects with the best practices.
Both options cover the full curriculum and include most of the certification topics
Learn anytime, at your own pace — complete the course in weeks or months.
Get Pricing
Real-time classes with a certified expert — ask questions, get instant feedback, and walk away job-ready
07:00 AM IST · Weekday · Limited seats available
30 hrs · Live online · Recordings included
2 weeks · 30 hrs total
3 weekends · 30 hrs total
Need a different time? We offer and at any timezone. Contact a course advisor to set one up.
Empower your team with new skills to Enhance their performance and productivity.

We will provide you with the Azure Data Factory (ADF) course completion certificate after you complete the course assessments. You can add this shareable certificate to your LinkedIn profile and portfolio to show your expertise in the ADF skills to potential employers.
This course completion certificate is not a substitute for an official Microsoft certification.
There is no standalone official Microsoft Azure Data Factory certification. However, Azure Data Factory is a core skill validated by relevant Microsoft data engineering certifications, including:
The table summarizes key information about these certification exams.
| Certification Exam | Exam Fee | Duration | Level | Passing Score |
| Azure Data Fundamentals (DP-900) | US: $99 India: ₹3,691 |
45 mins | Beginner | 700/1000 |
| Fabric Data Engineer Associate (DP-700) | US: $165 India: ₹4,865 |
100 mins | Associate (Intermediate) |
700/1000 |
Please note that the MindMajix course fee doesn’t include the certification exam fee listed above. You must pay the exam fee directly to Microsoft. The information above was verified against Microsoft’s official website in July 2026.

I enrolled in the Azure Data Factory training to strengthen my data engineering skills, and the course exceeded my expectations. The trainer explained pipelines, linked services, integration runtime, and data flows with practical examples. The hands-on labs made it much easier to understand real-world ETL scenarios. I feel much more confident working on Azure projects now.
Bangalore
This roadmap maps the real path an ADF-focused engineer takes — from data fundamentals to building production pipelines to the DP-700 credential and on to senior and architect roles — with verified 2026 salary bands for India and the USA.
Learn core data concepts (ETL vs ELT) and Azure's key data services, then build your first ADF pipeline — linked services, datasets, and a Copy activity. Validate with DP-900: no prerequisites, never expires.
The hands-on ADF core: pipelines with 90+ connectors, Copy and mapping/wrangling data flows, integration runtimes, triggers, parameterisation, and Git-based CI/CD, with cost control and Synapse/Databricks integration. No separate ADF exam — skills feed into DP-700.
Earn DP-700 (Fabric Data Engineer Associate) — the current credential replacing the retired DP-203 (ended 31 March 2025). Covers Microsoft Fabric lakehouses, Data Factory in Fabric, Dataflows Gen2, and Spark. ~40–60 questions, ~100 min; renewed free yearly.
Design data lake/lakehouse architectures, lead migrations, build streaming pipelines, and optimise cost across ADF, Synapse, Databricks, and Fabric, with PySpark and governance (Purview). Experience-based (6–10 yrs); optional DP-600 or AZ-305.
Set enterprise data strategy: end-to-end platform design, governance, security, cost, and team leadership. A senior milestone (9+ yrs); AZ-305 (Azure Solutions Architect Expert) is a common add-on.
No standalone ADF certification exists; DP-203 retired on 31 March 2025, and DP-700 (Fabric Data Engineer Associate) is its replacement. Exams: Microsoft Certifications via Pearson VUE. Figures are indicative 2026 ranges. Salary sources (2026): ZipRecruiter – Azure Data Engineer (USA), Glassdoor – Azure Data Engineer (USA), AmbitionBox – Azure Data Engineer (India), Glassdoor – Azure Data Engineer (India), 6figr – Azure Data Engineer (India).

Our work-support plans provide precise options as per your project tasks. Whether you are a newbie or an experienced professional seeking assistance in completing project tasks, we are here with the following plans to meet your custom needs: