Preparation Guide for AI-900 Microsoft Azure AI Fundamentals Certification
I just get my AI-900 Microsoft AI Fundamentals certification and it is time now to share my preparation notes for those who are interested to pass the “Microsoft Azure AI Fundamentals” exam and get certified.
This article is just one another preparation guide to Microsoft exam AI-900 but I hope you will find it useful 🙂
Even you don’t plan to take the exam, all this content is really interesting to read and understand if you want to discover and improve your knowledge on the Microsoft AI Platform. You will find below more than XXX slides, good articles, nice courses and excellent tutorials
Audience Profile : This exam is intended for candidates with both technical and non-technical backgrounds. Data science and software engineering experience are not required.
Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.
Before starting studying, you must know very well what this certification is about and what are the prerequisites.
The topics included in this exam are the following :
- Describe AI workloads and considerations (15-20%)
- Describe fundamental principles of machine learning on Azure (30-35%)
- 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 conversational AI workloads on Azure (15-20%)
More details : https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RE4wGpB
The exam length is one hour. There are 63 questions and you need 700 points min over 1000 to pass the exam (like all other Microsoft exams).
First place to go is the Microsoft Learn platform where a dedicated learning path is available for free !!
Microsoft Certified: Azure AI Fundamentals – Learning Path https://docs.microsoft.com/en-us/learn/certifications/azure-ai-fundamentals
I use this content to structure this preparation guide, I synthesize what I think is mandatory to know and I have additional lectures, articles and training resources
Module 1 – Describe AI workloads and considerations (15-20%)
Get started with artificial intelligence on Azure
Machine Learning Solution Pitch deck ==> really good deck to prepare this module
Anomaly Detector : An AI service that helps you foresee problems before they occur
Anomaly Detector in containers
Microsoft Seeing AI – talking Camera for the Blind
Azure Cognitive service – computer vision
AI demo – computer vision
AI demo – Language Understanding Intelligent Service (LUIS)
Guidelines for human ai interaction
Module 2 – Describe fundamental principles of machine learning on Azure (30-35%)
Azure Machine Learning – SKU
Create no-code predictive models with Azure Machine Learning
==> video on regression, classification…
Machine learning algorithms
Tutorial: Predict automobile price with the designer (preview) ==> You should do it !!
Module 3 – Describe features of computer vision workloads on Azure (15-20%)
Computer Vision documentation
Classify images with the Custom Vision service
Custom Vision documentation
Sample for object detection
Azure Face detection demo
What is the Azure Face service?
Reading text with the Computer Vision service
Module 4 – Describe features of Natural Language Processing (NLP) workloads on Azure (15-20%)
Explore natural language processing
Azure Text Analytics
Text Analytics API documentation
Module 5 – Describe features of conversational AI workloads on Azure (15-20%)
Training on Microsoft Learn
QnA Maker portal
Enterprise productivity Chatbot
FAQ Chatbot with data champion model
Hope this study guide will be useful for you. Don’t hesitate to share, or post a comment or send me a message on Twitter @squastana or on LinkedIn
11 thoughts on “Preparation Guide for AI-900 Microsoft Azure AI Fundamentals Certification”
nice article! thank you.
Thank you for the effort you put in creating the guide. I have my AI-900 scheduled for the end of July and I’m working on exercises on the MS Learn path as well as gathering some general knowledge for the exam outlines provided by MS.
This page has answers for many doubts I had so far.
Exam is still is beta so we probably won’t know anytime soon the result of our attemps, but with such detailed info I think we are more than likely to pass 😉
Great notes. Interested to see if you passed and how helpful were the above in your preparation. I have mine scheduled tomoz 🙂
Great Notes, I prepared for AI-900 referring to your materials along with MS learn and some Videos on Cloud9, this material is exhaustive and helped clear my AI-900. thank you so much.
Stanislas – Awesome work in aggregating stuff together at one place.
The information shared is to the point, the embedded deck is very crisp and covers all important points and i am hoping i will be able to crack my upcoming exam after leveraging this acquired knowledge.
I have seen many articles, blogs but information on AI in MS -Azure is less and this one is definitely awesome.
Hope tat something comes for DP-100 also in future 🙂
Thanks a lot Stanislas for these notes always useful for certification preparation. I cannot follow your pace but I’m now moving to your page related to IA 100. 🙂
This is brilliant and helped me to get certified in 4 days along with Udemy mock up tests and MS learn.
It was quite an interesting read, can you please help me answer a question:
I am a fresher and want to start my career as an artificial intelligence engineer, could you please recommend some ways using which I can become a successful AI engineer.
Thanks very much for putting this guide together. It is great to have all the information in one place.
The author has done a great job in providing a fruitful guide to all who want to achieve AI-900 Microsoft AI Fundamentals certification, as he has already passed this certification examination. He has explained how to prepare for this examination so that others can be successful in passing it and get a job in a Microsoft Azure Development Company.