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AI-900/AI-901 Azure AI Fundamentals Exam Prep In One Day

Name: AI-900/AI-901 Azure AI Fundamentals Exam Prep In One Day
Rating: 4.6 (15868 reviews)

Learn the basics of Azure AI and ML services and get certified with this complete AI-900/AI-901 course!

Bestseller

Role Play

Created byScott Duffy • 1.500.000+ Students, Software Architect.ca

Last updated 5/2026

English

What you'll learn

Take and pass the Azure AI-900 AI Fundamentals exam
Earn the Microsoft Certified Azure AI Fundamentals badge
Learn the main concepts of machine learning
Learn the main concepts of Azure AI Services
Includes Oct 2023 changes

Course content

16 sections • 80 lectures • 7h 2m total length

New The AI-901 Exam0:47
Welcome & How to Use This Course (for Total Beginners)5:37
Explore foundational AI and machine learning concepts aligned with Azure AI services, including vision, language, and generative AI, and prepare to pass the AI-900 exam.
What is AI?6:05
Udemy Player1:05
What is an ML Model?8:45
Define the machine learning model, its training, evaluation, and deployment in the Azure AI Fundamentals context. Explore how models predict patterns, categorize data, and recognize images, speech, and text.
AI-900 Exam Requirements3:53
AI-901 Exam Requirements5:33

NOTE: This is AI-901 Content0:14
Introduction to Microsoft Responsible AI8:04
First Three Responsible AI Principles8:20
Second Three Responsible AI Principles5:11
Considerations for fairness in an AI solution6:59
Considerations for reliability and safety in an AI solution5:34
Considerations for privacy and security in an AI solution7:01
Considerations for inclusiveness in an AI solution5:08
design ai with inclusiveness at every step by ensuring accessibility standards, multilingual support, low-bandwidth options, representative training data, participatory design, and inclusive default settings.
Considerations for transparency in an AI solution4:49
Considerations for accountability in an AI solution5:52

How generative AI models work16:24
Identify an appropriate AI model, based on capabilities7:21
Identify appropriate model deployment options6:20
Explore model deployment options across cloud-based services, managed services, and custom environments, exposing endpoints with authorization keys and tuning latency, scalability, content filters, and monitoring.
DEMO: Microsoft Foundry Model Deployment Options7:48

Common Machine Learning Types6:11
Explore common machine learning types in Azure: regression for numerical predictions, classification with binary and multi-class options, and unsupervised clustering for insights, with examples like movie recommendations and spam detection.
Deep Learning4:39
Transformer Architecture5:14
Dataset Features and Labels4:36
Training and Validation Datasets8:31
Confusion Matrix, Accuracy, Precision and Recall13:04

Requirements

An interest in Azure cloud computing
No background in AI or ML required but it would be helpful to be familiar with it

Description

LEARN AZURE ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING (ML) TECHNOLOGIES IN ONE DAY!

The course is completely up-to-date with new requirements as of May 2026.

The course is being updated in May 2026 for all new content covering AI-901 topics.

Complete preparation for the AI-900/AI-901 Azure Data Fundamentals exam.

The AI-900 exam covers the following topics:

Describe AI workloads and considerations (15-20%)
Describe fundamental principles of machine learning on Azure (15-20%)
Describe features of computer vision workloads on Azure (15-20%)
Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
Describe features of generative AI workloads on Azure (20-25%)

The AI-901 exam is much simpler as it covers the following:

Identify AI concepts and responsibilities (40–45%)
Implement AI solutions by using Microsoft Foundry (55–60%)

This course completely covers the AI-900/AI-901 exam from start to finish. Always updated with the latest requirements. This course goes over each requirement of the exam in detail. If you have no background in machine learning and want to learn about it and want to learn more about AI / ML concepts and services within Azure, or have some background in machine learning and want to progress eventually to an Azure Data Engineer or Data Analyst type role, this course is a great resource for you.

Microsoft Azure is still the fastest-growing large cloud platform. The opportunities for jobs in cloud computing are still out there, and finding well-qualified people is the #1 problem that businesses have.

If you're looking to change your career, this would be a good entry point into cloud computing on the machine learning side.

Who this course is for:

Candidates with non-technical backgrounds who are interested in learning about machine learning
Candidates with technical backgrounds who are interested in getting more advanced certs in the future

AI-900/AI-901 Azure AI Fundamentals Exam Prep In One Day

What you'll learn

Explore related topics

Course content

AI-900 Azure AI Fundamentals7 lectures • 32min

AI-901 - Describe principles of responsible AI10 lectures • 57min

AI-901 - Identify AI model components and configurations4 lectures • 38min

AI-901 - Identify AI workloads5 lectures • 27min

AI-901 - Implement generative AI apps and agents by using Foundry5 lectures • 31min

AI-901 - Implement AI solutions for text and speech by using Foundry3 lectures • 13min

AI-901 - Implement AI solutions with vision and image-generation capabilities3 lectures • 15min

AI-901 - Implement AI solutions for information extraction by using Foundry6 lectures • 18min

Artificial Intelligence workloads and considerations6 lectures • 32min

Identify common machine learning types and core machine learning concepts6 lectures • 42min

Requirements

Description

Who this course is for: