Hey data family! I want to share the story of a volunteer DP-203 training I ran over the past few weeks — and why it became one of the most rewarding experiences of my career.
The Team#
Together with a team of six — Alper Kaan Kavılı, Mehmet Koç, Adem Doğan, Emrullah Çelik, Sümeyra Zenkin, and Enes Yılmaz — we embarked on an unforgettable adventure in the world of Azure Data Engineering. Every Saturday evening for two hours, we pushed through the material together.
Why DP-203?#
The Microsoft DP-203: Data Engineering on Azure certification is one of the most direct keys to breaking into professional data engineering. It covers the full spectrum of what a modern Azure data engineer needs to know — and it does so with real, production-relevant content.
How We Ran It#
As a Microsoft Certified Trainer (MCT), I used Microsoft’s official DP-203 courseware to give students the most up-to-date and comprehensive content available. Each week we tackled a new topic, building progressively toward a complete picture of the Azure data engineering landscape:
- Azure Data Factory — orchestration and data movement at scale
- Azure Databricks — distributed processing with Spark
- Azure Synapse Analytics — unified analytics across data warehouse and data lake
Every session combined theory with hands-on lab work based on real-world scenarios. No slides-only sessions — students had to get their hands dirty in Azure every week.
Microsoft’s $200 Azure Credits#
One of the practical highlights: Microsoft provided each student with a $200 free Azure credit, giving them a real cloud environment to experiment in without any financial barrier. This made the labs meaningful — students weren’t simulating, they were actually building.
The LinkedIn Community#
We also created a dedicated LinkedIn group where students stayed in contact with each other and with other professionals in the industry. Each week, members shared what they’d learned, discussed their lab work, and followed the latest developments in data engineering. That ongoing conversation between sessions turned out to be as valuable as the training itself.
What I Took Away#
Teaching is the fastest way to deepen your own understanding. Running this training reinforced concepts I use daily and pushed me to articulate things I usually just do without thinking. Watching six people go from zero to confidently navigating Azure Data Factory pipelines in a few weeks is genuinely motivating.
If you’re working in data and looking to validate your Azure skills — DP-203 is worth pursuing. And if you’re an MCT or experienced practitioner: consider giving back. The data community grows stronger when we teach each other.
Interested in Azure Data Engineering training or want to discuss a project? Get in touch.