AI-901-Microsoft Azure AI Fundamental Certification (Udemy.com)
Prepare for both AI-900 and the AI-901 exam
Created by: Alan Rodrigues
Last updated July 2026
What you will learn
- Prepare for both the AI-900 exam and the new AI-901 beta exam — covering all official Microsoft exam objectives for both certifications.
- Understand core AI concepts including machine learning, deep learning, NLP, computer vision, generative AI, and agentic AI.
- Learn the principles of Responsible AI — fairness, transparency, accountability, privacy, inclusiveness, reliability, and safety.
- Deploy and interact with AI models using the Microsoft Foundry portal, including generative AI apps and single-agent solutions.
- Build lightweight client applications using the Foundry SDK and extract information from documents, images, audio, and video using Azure Content Understanding.
How it compares
Against the other 848 rated Udemy courses in IT Certifications on CourseDuck:
- Rating4.6 out of 5higher than 63% of them
- Reviews7,997#57 of 849 by number of reviews
- Length4.5 hoursshorter than 71% of them
- Last updatedJuly 2026more recently than 74% of them
Course Description
Release v5.0 – May 2026 (AI-901 Beta Content Added)
The AI-900 exam will retire on June 30, 2026, and is being replaced by AI-901: Azure AI Fundamentals (Refreshed). Since AI-901 is currently in beta, this course now covers both exams so you can prepare for either path with confidence.
What's new in AI-901?
AI-901 is a substantial redesign that pivots from individual Azure AI services to the unified Microsoft Foundry platform. The new exam emphasises implementing generative AI apps and agents, deploying models in the Foundry portal, building lightweight client applications with the Foundry SDK, and extracting information using Azure Content Understanding. Examinotion
The exam is structured around two core skill areas:
Identify AI Concepts and Responsibilities (40–45%) — covering responsible AI principles, AI model components and configurations, and AI workloads including generative and agentic AI, text analysis, speech, computer vision, and information extraction Microsoft Learn
Implement AI Solutions using Microsoft Foundry (55–60%) — covering generative AI apps and agents, text and speech solutions, computer vision and image generation, and information extraction using Azure Content Understanding in Foundry Tools
Release v4.0 - August2025
Artificial Intelligence is no longer the future—it’s the present, reshaping how industries operate and how we work, live, and interact. With tools like ChatGPT and Azure AI becoming part of everyday workflows, staying current with AI fundamentals is not just useful—it’s essential.
The entire course has been updated and refreshed. All chapters have been re-recorded. This has been done to ensure that all contents now reflect the most recent changes to the services on the Azure platform.
All course contents have also been aligned as per any changes to the course objectives.
Release v3.0 - January 2025
The entire course has been updated and refreshed. All chapters have been re-recorded. This has been done to ensure that all contents now reflect the most recent changes to the services on the Azure platform.
All course contents have also been aligned as per any changes to the course objectives.
Additional questions also added to the Practice Tests available at the end of the course.
Release v2.0 - July 2023
The entire course has been updated and refreshed. All chapters have been re-recorded. This has been done to ensure that all contents now reflect the most recent changes to the services on the Azure platform.
All course contents have also been aligned as per any changes to the course objectives.
Quiz questions have also been added to the end of each section.
This course is a preparation course for students who want to attempt the Exam AI-900: Microsoft Azure AI Fundamentals
This course has contents for the Exam AI-900
The objectives covered in this course are
Describe AI workloads and considerations (15-20%) - Here we will discuss the the basics on AI-based workloads.
Describe fundamental principles of machine learning on Azure (30-35%) - Here we will understand what is Machine Learning. We will also look at labs on how to work with the Machine Learning service.
Describe features of computer vision workloads on Azure (15-20%) - Here we will look at the different features of the Computer Vision service. We will also look at the Custom Vision service, the Face service and the Form Recognizer service.
Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%) - Here we will look at services such the Text Analytics service, the Language Understanding Intelligence Service , the Speech service.
Describe features of conversational AI workloads on Azure (15-20%) - Here we will see the basics on the QnA Maker service and the Bot Framework.
There is also a number of labs available in this course. These labs focus on the different services available in Azure when it comes to Machine Learning and Artificial Intelligence.
Instructor Details
- 4.6 Rating
7,997 Reviews
Alan Rodrigues
AI & Cloud Technology Evangelist | Course Creator | Certification Specialist
With over 25+ years of experience in the Software & Technology industry, I am a passionate Tech evangelist dedicated to demystifying complex cloud and AI technologies for learners across the globe.
My career is driven by one mission: to make cutting-edge tech accessible, understandable, and practical for everyone.
A lifelong learner with a deep commitment to industry certifications, I hold numerous credentials across Microsoft Azure, AWS, AI and DevOps domains. My focus is on creating practical, certification-focused courses that bridge the gap between exam success and real-world expertise.
Featured Courses:
AI & CoPoilot Courses:
AI-900: Microsoft Azure AI Fundamentals Certification [AI-900]
AI-102: Microsoft Certified Azure AI Engineer Associate [AI-102]
AWS Certified AI Practitioner – AIF-C01
AB-730: Microsoft AI Business Professional [AB-730]
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AZ-900: Microsoft Azure Fundamentals [AZ-900]
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Reviews
By Kalpesh Mahajan on 7/28/2026
It was good course for AI-901 and I was able to clear the exam by going through this course and training material
By Kavitha K S on 7/20/2026
Appreciated the GenAI explanation and found it clear, informative, and easy to understand. The session effectively covered the key concepts, use cases, and benefits of GenAI, helping build a better understanding of the technology.
By Sarnab Das on 6/25/2026
Best course... Thank you so much, I have passed AI-901 fundamentals. Most of the questions were identical and same. Thank you universe!
By Piyush Parsai on 3/16/2026
There are too many filler words in the explanation that cause distractions. No presentations or slides on theory lectures to make it interactive.
By Shrinath Inamdar on 2/3/2026
It was great session which covered both theory and practical. It helped me clear the exam in first attempt
By Ken Lim on 1/31/2026
Clear, concise, and incredibly helpful, Alan’s teaching made learning AI enjoyable and easy to follow
By Sugata Bandyopadhyay on 1/22/2026
Great hands-on learning experience. Good detailed explanations of the different exam topics. Some have advised going through the Microsoft learning knowledgebase. If you have the bandwidth go for it. Otherwise, I advise going through the course thoroughly. The sample tests, however, do not seem to be reflective of the actual exam tests.
By Anonymized User on 1/15/2026
The course was very efficient and helpful, covering all key AI-900 topics clearly. It made complex AI concepts easy to understand and played an important role in helping me pass the exam.
By Siyabonga Mhlophe on 12/28/2025
I Got More Knowledge about AI. I've learnt that behind AI, there's a Machine Learning Model that is Being Trained and it Runs in the Background. Now I understand what is Chat GPT and How it Works. The Course was really Educative. Thanks!
By Ashita Mandrekar on 12/26/2025
The best course. The mentor is very good in explaining concepts and in demonstration part. I would highly recommend this course to anyone who wants to take this certification in future.
Quality Score
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Overall Score : 92 / 100












