Frequently asked questions (FAQ)
Registration
Enrolling is very easy. Go to our course calender and choose the course you’re interested in. Select the preferred payment method and complete your registration. You will receive a confirmation by email.
An account will be automatically created for you, and you will also receive an automated email to set up the password for the online learning environment.
You can cancel free of charge up to two months before the start of the course. After that, our general conditions apply. Click here for these conditions.
Yes, this is possible. An option is free of charge and, of-course, non-binding. We reserve a spot for you in the desired course. After 2 weeks, or when the group nearing its maximum number of students, we will contact you to discuss whether we may convert your option into a confirmed registration.
After your registration, you will receive a confirmation email from us. Approximately a week before the start, you will receive an email with more information about your course.
Haven’t received anything? Please check your spam inbox as well. Still no email from Amsterdam Data Academy? Feel free to contact us.
This depends on the situation. In some cases, it is possible to change your course. We kindly ask you to contact customer service for further assistance.
Certainly, this is possible. Starting from a relatively small number of participants, it’s already feasible for us to tailor a program for your team. For more information, please contact us through customer service.
Payment
You can choose from various payment methods. These include: iDEAL, invoice payment, PayPal, and by credit card.
If you have selected the ‘invoice payment’ method during registration, you will receive an invoice via email immediately after registration. We have a payment term of 14 days. Upon receipt of the payment, you will receive further information about the start of your course.
Payment in installments is available for courses starting from €1,000. The installments are divided into two equal parts: one before the start of the program and one in the midst of the course.
Please contact us to discuss any inquiries.
As of January 1, 2022, this regulation has been changed. The determining factor is whether you incur study costs as a business owner or as an individual. If you incur costs as an individual for activities such as a hobby, future profession, or role, these costs are no longer automatically deductible for income tax purposes starting in 2022.
Note: For entrepreneurs or individuals with income from other work, there is no change. Business-related study costs are still (partially) deductible from the profit, but certain conditions apply.
As of July 1, 2023, it is no longer possible to participate in our courses using your STAP-budget.
We hope for an alternative to be introduced in 2024.
In addition, we are a recognized training provider for the UWV (Employee Insurance Agency). Therefore, it is possible to use study budgets from the UWV for our courses. For more information on the possibilities, please contact your personal contact at the UWV.
Yes, please check out the website of DUO about this option: https://duo.nl/particulier/levenlanglerenkrediet/
Choose ‘invoice’ as the payment method during registration. Fill in the complete company details for the billing address. You will receive a confirmation and an invoice in your inbox. You can forward the invoice to your employer; upon receipt of payment, you will receive further information about your course from us.
We offer a 10% discount on all our courses for employees of non-profit organizations. If you would like to take advantage of this offer, please contact us.
Information about our courses
Amsterdam Data Academy is the leading training provider in the Netherlands for data and AI. Since its establishment in 2018, we have trained nearly 1,500 students. You can choose from various programs in the fields of data science, data engineering, and AI. Our team of instructors has extensive experience in applying data solutions across various industries. Through our unique blended learning approach, you can study at your own pace, and there is always an instructor available to assist you with the course.
For each course, we have a dedicated teacher who is an expert in the specific field of the course. For more information about our teachers, you can click here.
Of course, we are happy to assist you in finding the training that aligns with your level and learning goals. Book your personal (online) advisory session directly here. This consultation is free of charge and entirely non-binding.
After successfully completing your course, you will receive a certificate from us along with a link to add the certificate to your LinkedIn profile.
You can obtain the certificate by marking all components in the learning environment as ‘completed.’ The certificate can then be downloaded from the online learning platform, located at the top right of the page under the respective course.
The link to add your certificate to your LinkedIn profile will be automatically sent to your email.
We offer various courses designed for different skill levels. Whether you are new to working with data or deal with it daily, there is always a suitable course for you. Check out an overview of the different courses we offer here.
All courses and training sessions from our open offerings can be customized to be specifically organized for your team or organization at your preferred location and times. We also provide tailor-made programs, entirely aligned with your preferences. Learn more about our in-company possibilities here.
All our instructors are bilingual, proficient in both Dutch and English. Live sessions will be conducted in Dutch, but we will switch to English, if non-Dutch speaking students are participating.
Of course it is possible to ask questions in Dutch if that makes you more comfortable.
Absolutely, all our courses have been designed for participants without prior knowledge of the subject. If this differs for a specific course, it will be mentioned in the description. We start from the basics on day one and progressively build up the content step by step.
If you are unsure about your choices and you need advice, feel free to schedule a free and non-binding study advisory session.
We have developed various bootcamp programs for this, where you not only cover a substantial portion of theory but also complete a practical assignment with a company. This way, you will be well-prepared to start working in the field of data on your own.
The average study load for our programs ranges between 4 and 8 hours per week. This makes it easily manageable alongside other commitments.
You can find an estimate of the overall study hours in each course description.
Blended Learning
You will take our courses online. Through our unique blended learning approach, you maximize learning in minimal time. This means that various teaching methods are combined in our courses. In our dedicated online learning environment, you will find recorded video lectures explaining the theory. You will attend weekly live sessions, and, subsequently, you work independently on homework assignments, applying the theory in practice. Finally, an teacher is available to assist you with any questions and will also evaluate your final assignment.
If you want to choose your own starting point and progress through the course at your own pace, you can opt for the individual learning method.
If you prefer taking this course together with a class/group, you can opt for the ‘Group’ option.
This involves attending weekly live sessions with your fellow participants.
Online learning environment
Upon registration, you will automatically receive access to the online learning environment using the email address you used to place your order. After placing your order, you will receive an email to set up your password. Always check your spam folder as well.
Didn’t receive the email? Select ‘forgot password,’ and you will receive a reset link by email. If the issue persists, please contact us.
You can log in to our online learning platform here. You will also find this link at the top right of every page on our website.
You have access to the learning platform for up to one year after your registration. During this time, you can review the course materials and presentations.
Yes. If you need more time to complete your course or bootcamp, you can request an extension of your access.
We currently offer the following extension options:
6 months extension – €499
12 months extension – €799
An extension gives you continued access to:
All course content and updates
Assignments and learning materials
The online learning environment
If you would also like additional personal guidance, you can book 1-on-1 coaching sessions separately:
€100 per session
€400 for a bundle of 5 sessions
To request an extension, please contact us at support@amsterdamdataacademy.com. We’ll help you choose the option that best fits your situation.
Privacy
Assistance with your choice of study?
If you’re unsure which program matches your background or career goals, we strongly recommend booking a free study advice call.
During this call, we’ll discuss:
Your current role and experience
Your career ambitions
How AI or data fits into your work
Which learning path makes the most sense for you
Book your free study advice call here:
Study advice
Not necessarily.
Beginner-level courses and bootcamps do not require prior programming or AI experience.
We start from fundamentals and gradually build up practical skills.
For more technical programs, basic familiarity with data or programming is helpful but not required.
If you’re unsure whether your background is sufficient, a study advice call is the fastest way to check.
If your goal is to apply AI in a business context, advise clients, or work with AI tools without heavy coding, we recommend:
Applied AI Bootcamp
This program focuses on:
Practical AI use cases
No-code & low-code AI tools
Prompt engineering
Translating business problems into AI solutions
Ideal for:
Consultants
Product managers
Marketers
Analysts
Business professionals
In the “Programming with Python” course, you will learn the basics of Python and conclude the course with your own programming assignment. In the “Machine Learning with Python” course, you will learn how to develop a machine learning model using Python. We recommend starting with the “Programming with Python” course if you don’t have much experience with Python programming.
If you want to build AI systems, models, or applications yourself, we recommend:
AI Engineering Bootcamp
This program focuses on:
Python and machine learning
Deep learning fundamentals
Building and deploying AI solutions
Working with modern AI frameworks and architectures
Ideal for:
Developers
Engineers
Technical professionals
Career switchers aiming for an AI engineering role
Our most popular bootcamps are:
Applied AI Bootcamp – for business-focused AI adoption
AI Professional / AI Engineering – for building AI solutions
Data Professional Bootcamp – for analytics, dashboards, and data-driven decision-making
Popularity varies slightly per cohort, but these programs consistently attract the most participants.
That’s completely normal. Many participants book a call before deciding.
Schedule a free, no-obligation study advice call:
Study advice
We’ll help you choose a learning path that:
Fits your goals
Matches your experience level
Works alongside your job and schedule
Learning & Career FAQs
Online courses are a strong starting point, especially when combined with hands-on projects. The most effective learning paths include real-world assignments, case studies, and opportunities to apply what you learn.
Projects such as chatbots, data analysis tools, recommendation systems, or automation workflows help you apply AI skills in practice and build a portfolio that demonstrates real-world experience.
Yes. Many professionals successfully learn AI alongside a full-time job by following part-time courses, blended learning programs, or structured self-study paths. Consistency and practical application matter more than studying full-time.
Most working professionals make steady progress by studying 5–10 hours per week. Even short daily sessions of 30–60 minutes can be very effective when learning is focused and goal-oriented.
Blended learning combines online self-study with live sessions led by instructors. This approach offers flexibility while still providing structure, feedback, and interaction—making it ideal for working professionals.
The best approach is a combination of flexible learning (online or blended), practical projects, and consistent weekly study time. Structured programs can help provide focus and accountability.
No. Many AI learning paths are designed for professionals without a technical background. You can start with AI concepts and tools and gradually build technical skills such as Python as you progress.
Certifications are not mandatory, but they help validate your knowledge and provide structure to your learning process. They are especially useful for career switchers or professionals without a formal technical education.
Yes. Many professionals use AI to automate tasks, improve decision-making, and optimize workflows in their current roles—often leading to new responsibilities or career growth.
No. AI is still evolving rapidly, and demand for AI-literate professionals continues to grow. Starting now can significantly future-proof your career.
Amsterdam Data Academy combines blended learning, small class sizes, official certification, and real-world internships with a strong focus on the Dutch job market.
Yes — provided the program is practice-oriented, includes real projects or internships, and offers structured guidance and career support.
Employers value candidates who can demonstrate real-world experience, strong communication skills, and practical problem-solving — regardless of whether skills were learned via university or bootcamp.
Key factors include accreditation, instructor quality, practical experience, class size, flexibility, and alignment with the local job market.
Yes. The programs are designed for professionals who want to transition into data roles efficiently while balancing work and personal commitments.
Yes. Understanding Dutch business culture, GDPR regulations, and local employer expectations significantly improves employability in the Netherlands.
