Who awards this certification?

The certification is awarded by Microsoft.

What topics are covered in the exam?

The exam covers artificial intelligence workloads, fundamental principles of machine learning on Azure, computer vision, Natural Language Processing (NLP), and generative AI workloads.

Who is this certification designed for?

It is designed for beginners starting their career in AI solution development, as well as developers and digital managers looking to understand cloud-based AI services.

Microsoft

Azure AI Fundamentals (AI-900)

The Microsoft Certified: Azure AI Fundamentals (AI-900) certification validates foundational knowledge of machine learning and artificial intelligence concepts using Microsoft Azure services. It covers core AI workloads and responsible AI principles.

Issued by: Microsoft
Issued: Dec 2023
Credential ID: 68e015d2-cdef-487d-846f-9792e4dfc9e7

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Questions about this certification

What is the Azure AI Fundamentals (AI-900) certification?: It is a Microsoft certification that validates foundational knowledge of machine learning and artificial intelligence concepts using Microsoft Azure services.
Who awards this certification?: The certification is awarded by Microsoft.
What topics are covered in the exam?: The exam covers artificial intelligence workloads, fundamental principles of machine learning on Azure, computer vision, Natural Language Processing (NLP), and generative AI workloads.
Who is this certification designed for?: It is designed for beginners starting their career in AI solution development, as well as developers and digital managers looking to understand cloud-based AI services.

The Azure AI Fundamentals (AI-900) certification by Microsoft is a foundational credential that validates a candidate's understanding of machine learning and artificial intelligence concepts, along with the corresponding services available on Microsoft Azure. It is designed for individuals looking to begin their journey into artificial intelligence solution development and cloud-based cognitive services.

What does the course cover?

The curriculum and exam focus heavily on core artificial intelligence workloads and cloud considerations. Candidates explore the fundamental principles of machine learning on Azure, alongside specialized features for computer vision workloads, Natural Language Processing (NLP) workloads, and generative AI workloads.

Who is it for?

This certification is tailored for beginners stepping into the AI solution development space, requiring conceptual knowledge of AI solutions and foundational technical skills. It is also highly beneficial for full-stack web developers and digital managers seeking to understand cloud-based AI infrastructure and integrate intelligent features into digital products.

Why does it matter?

Understanding cloud-based AI services is increasingly critical as intelligent features become standard in modern web applications. This credential provides the theoretical grounding needed to collaborate effectively with data science teams and navigate governance considerations in digital management.