Azure AI Fundamentals in Amsterdam
Microsoft's entry-level AI certification covering machine learning, computer vision, NLP, and generative AI on Azure.
What is Azure AI Fundamentals?
The Azure AI Fundamentals certification (exam code AI-900) is Microsoft's entry-level credential covering core AI and machine learning concepts on the Azure platform. It validates your understanding of AI workloads, machine learning principles, computer vision, natural language processing, and responsible AI practices. For professionals in Amsterdam, this matters more than in most cities. The Netherlands has become a European hub for cloud computing, with Microsoft, KPMG, Deloitte, and a dense layer of scale-ups all hiring AI-aware talent. Holding AI-900 signals that you can speak credibly about AI solutions — an increasingly non-negotiable baseline across Dutch tech, finance, and consulting roles.
At $165 for the exam and an average salary uplift of $7,000 per year, the Azure AI Fundamentals certification pays for itself within the first week of a new role. Against Amsterdam's average IT salary of around $75,000, that uplift represents a meaningful 9% increase — significant in a city where salary negotiations are competitive and certifications are used as objective differentiators. Amsterdam employers, particularly in fintech, logistics tech, and cloud consultancies concentrated along the Zuidas corridor, actively filter for Azure credentials when shortlisting candidates. With no prerequisites required, AI-900 is one of the lowest-barrier, highest-return investments available to early-career tech professionals in the Dutch market.
Exam details
Prerequisites: None required
12-week study plan
Exam tips
Know the difference between Azure Machine Learning, Azure Cognitive Services, and Azure Applied AI Services — the exam frequently tests which service is appropriate for a given business scenario
Memorize Microsoft's six responsible AI principles (fairness, reliability, privacy, inclusiveness, transparency, and accountability) as they appear in multiple question formats throughout the exam
Focus on understanding AI workload categories conceptually rather than memorizing configuration steps — AI-900 does not test portal navigation or CLI commands
When answering scenario questions, eliminate answers that involve custom model training if the scenario describes a simple, common use case — Azure Cognitive Services is almost always the intended answer for out-of-the-box AI tasks
Pay close attention to the distinction between classification, regression, and clustering in machine learning questions — these three model types and their appropriate use cases are a reliable source of exam questions