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EDUCBA — EDUCBA

AI-900 MS Azure AI Fundamentals

Explore EDUCBA’s Azure AI course on responsible AI, machine learning, AutoML, Designer, computer vision, language and conversational services.

PaidBeginner4–10 hoursEnglishCertificateAzure AI Fundamentals
Go to course

Opens on the provider’s site. Check current access and certificate terms there.

Course overview

EDUCBA connects AI concepts and responsible-use principles with Azure machine-learning and cognitive services. AutoML and Designer provide a no-code introduction to model workflows, while vision, language and conversational examples broaden the service overview. The syllabus uses the retired AI-900 framework, making this a foundations option for learners who want to understand the tools before comparing current certification requirements.

What you will learn

  • Explain AI workloads and responsible-use principles.
  • Explore AutoML and Designer model workflows.
  • Identify vision, language and conversational services.

Who this suits

Beginner by the provider’s label. Basic computer literacy and an interest in Azure AI are required; programming experience is not. The roughly six-hour workload includes activities and assessment.

Before you enroll

Microsoft retired AI-900 on June 30, 2026. Older AI-900 teaching can support conceptual study, but it should not be treated as current exam preparation. Check the official AI-901 objectives, including Python and Azure resource familiarity, before choosing a certification path. Course certificates are separate from Microsoft certification and exam fees. Azure exercises can incur charges; check service access, pricing and permissions, use fictional data and remove practice resources afterwards. Interfaces and service names can differ from older demonstrations.

Coursera offers paid enrollment or subscription access. Check the enrollment screen for assessment and certificate terms, trials and any financial-aid options. Provider access terms can change; review them before paying.

Put it into practice

Describe a fictional prediction problem, identify its input and target, and compare a no-code model workflow with a pre-built AI service. Explain what a useful evaluation result would show before considering deployment.

Source and review

This overview is based on the provider's published information, checked on . It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

View the curriculum and current access options at Coursera.

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At a glance

Provider
Coursera
Learning format
Course
Price
Paid
Level
Beginner
Study time (approx.)
4–10 hours
Language
English
Certificate
Available; check provider terms
Created by
EDUCBA — EDUCBA
Page updated
12 Oct 2026