Azure AI Fundamentals in São Paulo
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 cloud platform. It validates your understanding of AI workloads, responsible AI principles, and Azure services like Azure Machine Learning, Cognitive Services, and Bot Service. In São Paulo, Brazil's largest tech hub, demand for AI-literate professionals is accelerating fast as multinationals and Brazilian enterprises alike race to deploy cloud AI solutions. Whether you're a developer, data analyst, business stakeholder, or career switcher, AI-900 signals foundational fluency that hiring managers across São Paulo are actively looking for. No prior experience is required to sit the exam.
At $165 USD for the exam, the AI-900 is one of the highest-ROI certifications available to early-career tech professionals in São Paulo. With the average IT salary in the city sitting around $35,000 per year, a documented average salary uplift of roughly $7,000 annually represents a 20% earnings boost — off a single beginner-level credential. São Paulo's booming fintech, agribusiness-tech, and e-commerce sectors are all investing heavily in Azure AI tooling, meaning certified candidates stand out in a competitive local job market. Factor in the two-year renewal cycle and low prerequisite barrier, and there is a compelling case to pursue this certification regardless of your current role or experience level.
Exam details
Prerequisites: None required
12-week study plan
Exam tips
Learn the exact names of Azure AI services — the exam frequently tests whether you can match a business scenario (e.g., 'extract text from invoices') to the correct Azure service (e.g., Azure Form Recognizer). Mixing up service names is a common reason candidates lose easy points.
Memorize Microsoft's six Responsible AI principles (Fairness, Reliability & Safety, Privacy & Security, Inclusiveness, Transparency, Accountability) — they appear in multiple questions and are easy marks if you know them cold.
Understand the difference between AI, machine learning, and deep learning as Microsoft defines them for this exam — the hierarchy and distinctions between these terms are tested directly and the Azure framing differs slightly from generic industry usage.
Use the Azure portal's free tier to click through Azure Machine Learning Studio and at least two Cognitive Services APIs before exam day — having seen the actual interfaces makes scenario-based questions significantly easier to interpret quickly under timed conditions.
When answering scenario questions, eliminate options that mention non-Azure tools first, then look for the most specific Azure service rather than the most general one — the exam rewards precision in service selection, so 'Azure Cognitive Services' is rarely the best answer when a specific sub-service like 'Azure Text Analytics' fits the scenario.