Course
NLQF Level 6, comparable to bachelor level
Intermediate

Azure Data Fundamentals Course

Want to build a solid foundation in cloud data management with Microsoft Azure? Learn to work with Azure services for data storage, processing, and analytics.

Duration
3 weeks (24 hours)
Time per week
8 hours

Who this is for

This fits you if

  • Professionals who work with data and want to add Microsoft Azure to their skillset.

Another option may suit you better if

  • Your organisation does not work in the cloud, or uses AWS or Google Cloud. Discuss it with a study adviser first.
  • You have never worked with data. Start with Data Fundamentals Course first.

Not sure? Plan a free study advice call

Prerequisites

  • No prior Azure or cloud experience required.

What you'll learn

  • When and how to choose the right data solution (Azure, AWS, or Google) for different scenarios.
  • How to independently set up a complete Azure environment from scratch.
  • How to connect and feed your Power BI dashboards or machine learning models using the Azure Stack.
  • How to work with cloud-based data infrastructure to support scalable analytics solutions.

What you'll learn, module by module

  1. 1

    Cloud Computing Concepts & Introducing Azure

    What the cloud and Azure are, the key Azure services, and hands-on your first Azure account and virtual machine.

  2. 2

    Data Concepts & Azure Data Services

    Azure SQL Database, Azure Storage, large-scale analytics with Microsoft Fabric, and building data pipelines in Azure Synapse.

  3. 3

    Final Assignment

    Design and build a complete data pipeline in Azure Synapse Analytics.

What a week looks like

The course runs for 3 weeks, and every week looks like this.

8 hours per week

5 hours

Self-study

Course material and exercises on our learning platform, whenever suits you.

1 hour

Live with your teacher

A fixed moment every week, online or at Science Park. Small group, so you get to participate.

2 hours

On your own work

Do the assignment on your own data and your own situation. No exercise files.

Teacher for this course

Ali Hurriyetoglu

Ali Hurriyetoglu

Data Engineering and Data Stack

Ali holds a PhD plus degrees in cognitive science and computer engineering, and teaches data pipeline, data stack, and AI model courses, drawing on academic teaching experience at METU and Radboud University.

First live sessions

These are the dates of each group's first live session with the teacher. You don't have to wait for them: as soon as you register, you get access to the learning materials and can start with the self-study.

  • 2026-11-12

    Soonest
  • 2027-01-07

  • 2027-02-18

None of these dates work for you? Let us know and we'll think along with you.

Choose your format

The content, the teacher and the certificate are the same in all three formats. What differs is the focus and the planning, and that's reflected in the price.

With your team

Your own team, any size

Most affordable per person from four participants.

  • From four participants
  • Built around your own cases
  • On location or remote
  • Subsidy often possible
€750 /person
Most popular

In a group

A small group of fellow students

The usual way: you share the teacher with a few others and follow a fixed schedule.

  • Fixed start date, fixed schedule
  • Small group of fellow students
  • Shared teacher
€995 /person

Individual

Just you

For anyone who prefers to work at their own pace.

  • Start whenever you want
  • Your own pace and planning
  • Teacher just for you
  • Personal guidance
€1.250 /person

Flexible payment

Payment options

Through your employer, with a voucher or in instalments: there's usually a way that works. Not sure which fits you? We're happy to think it through with you, free and without obligation.

Option 1

Through your employer

We can invoice your employer directly, with 30 days to pay. If it helps, we'll give you a training plan to discuss internally.

Option 2

With a government contribution

A UWV training voucher or a municipal voucher can cover (part of) the cost. We're on the approved lists, CRKBO-registered, and glad to help with the application.

Training with colleagues? Your employer may be able to use the SLIM subsidy; we're happy to do the application together.

Option 3

Paying yourself

Pay the full amount at once, or spread it: 3 or 5 instalments at no extra cost, or an interest-free loan through TechMeUp. You choose when you register.

Frequently asked questions

How much time does this really take per week?
Count on around 8 hours a week: a few hours of self-study, a live session with your teacher, and time for your own assignment.
Do I need prior knowledge?
That depends on the course or bootcamp — check the "Who this is for" section on this page. If nothing is listed there, no prior knowledge is required.