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Packt — Packt - Course Instructors

Azure AI Fundamentals - Complete AI-901 Certification Guide

Explore Packt’s Azure AI-901 course on AI concepts, agents, generative models, language, speech, vision and information-extraction workloads.

PaidIntermediate4–10 hoursEnglishCertificateAzure AI Fundamentals
Go to course

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

Course overview

Packt presents Anand Rao Nednur’s Azure AI-901 teaching through a progression from AI history and infrastructure to generative models and agents. Language, speech, vision and information extraction extend the sequence. This course suits learners who want to connect the conceptual foundations with practical Azure workload choices and can explain why a capability is appropriate for a specific task.

What you will learn

  • Review AI concepts, infrastructure and responsible use.
  • Explore generative models and intelligent agents.
  • Compare language, speech, vision and extraction workloads.

Who this suits

Intermediate by the provider’s label, although the description says cloud and AI experience are beneficial rather than required. The published six-hour estimate includes course activities. Preview the labs if Azure is unfamiliar.

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

Plan a fictional application that combines information extraction with a generated response. Label each service’s role, describe an evaluation example and identify where a person should review the output before using it.

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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Supporting provider sources

At a glance

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