---
url: "https://xcademia.com/courses/azure-data-engineer-training"
title: "Azure Data Engineer Training (DP-203)"
description: "Master Azure data engineering with mentor-led training. Build pipelines, lakehouse solutions, and real-world data platforms in 5 days."
publishedAt: "2026-03-17T06:36:42.339476+00:00"
updatedAt: "2026-03-30T22:50:53.7265+00:00"
type: course
code: "AID-0035"
level: Professional
duration_days: "5"
track: Azure Tracks
category: "Cloud & DevOps"
credential_tier: tier1
price_gbp: "2499"
---

# Azure Data Engineer Training (DP-203)

> Design and implement data solutions on Azure using batch and streaming architectures. Learn mentor-led techniques through practical scenarios aligned with DP-203 exam objectives.

## Overview

The Azure Data Engineer Training programme prepares professionals to design and implement data solutions on Microsoft Azure. Aligned with DP-203 objectives, this course focuses on building scalable data pipelines, integrating diverse data sources, and supporting analytics workloads in cloud environments.

Learners will explore Azure services for data ingestion, transformation, and storage, including batch and real-time processing patterns. Through practical scenarios, participants will implement solutions that follow modern data engineering practices, including lakehouse architectures and data warehousing strategies.

Delivered in a mentor-led format, the course combines structured guidance with hands-on labs and applied exercises. By the end, participants will be equipped to manage Azure-based data platforms, ensure data quality, and support enterprise analytics initiatives.

## Prerequisites

- Basic knowledge of data engineering concepts
- Familiarity with cloud computing fundamentals
- Experience with SQL and data processing tools helpful

## What you will learn

- Design and implement data storage solutions on Azure
- Build and manage data pipelines
- Process and transform large datasets
- Secure and monitor data solutions
- Optimise performance and cost in Azure environments
- Prepare for the DP-203 certification exam

## Skills you will gain

- Azure data services and architecture
- Data ingestion and pipeline design
- Batch and streaming data processing
- Data security and governance
- Performance tuning and monitoring
- Cloud-based data engineering

## Career progression

- Azure Data Engineer
- Cloud Data Engineer
- Data Platform Engineer
- Analytics Engineer

## Curriculum

1. **Module 1**
2. **Module 2**
3. **Module 3**
4. **Module 4**

## Exam & certification

This programme provides practical knowledge aligned with Microsoft Azure DP-203 data engineering certification objectives.

## Delivery options

- **Live Online** — Join live instructor-led sessions from anywhere. Interactive, engaging, and flexible.
- **Onsite Training** — We come to you. Training delivered at your workplace for teams of 6 or more.
- **Venue-Based** — Classroom training at a professional venue. Ideal for focused, immersive learning.
- **Blended** — Combine online and in-person learning for maximum flexibility and impact.

## Frequently asked questions

**1. What is DP-203?**

DP-203 is the Microsoft certification for Azure Data Engineer Associate.



**2. Is this course aligned with certification?**

Yes, it follows the DP-203 exam objectives.



**3. Is hands-on experience included?**

Yes. Participants build and manage Azure data solutions.



**4. Do I need Azure experience?**

Basic cloud knowledge is helpful but not mandatory.



**5. What roles benefit from this course?**

Data engineers, cloud engineers, and professionals working with Azure data platforms.

## Course at a glance

| Field | Value |
| --- | --- |
| Code | AID-0035 |
| Duration | 5 days |
| Level | Professional |
| Track | Azure Tracks |
| Category | Cloud & DevOps |
| Credential tier | tier1 |
| Price (GBP) | £2499 |

---

## About this content

This Markdown course profile is the citation-grade twin of [Azure Data Engineer Training (DP-203)](https://xcademia.com/courses/azure-data-engineer-training). It is published by **Xcademia** (UK Companies House 12322710) and is available for AI search engines and large language models to index, summarise, and cite.

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