AI-900 Exam Study Guide (Microsoft Azure AI Fundamentals)

AI-900 Microsoft Azure AI Fundamentals Certificate Exam Study Guide

Preparing for the AI-900 Microsoft Azure AI Fundamentals Certificate exam? Don’t know where to start? This post is the AI-900 Certificate Study Guide (with links to each exam objective).

I have curated a list of articles from Microsoft documentation for each objective of the AI-900 exam. I hope this article will help you to prepare for the AI-900 Certification exam. Also, please share the post within your circles so it helps them to prepare for the exam.

AI-900 Azure AI Fundamentals Online Course

AI-900 Azure AI Fundamentals Practice Test

AI-900 Azure AI Fundamentals Other Stuff

Looking for AI-900 Dumps? Read This!

Using ai-900 exam dumps can get you permanently banned from taking any future Microsoft certificate exam. Read the FAQ page for more information. However, I strongly suggest you validate your understanding with practice questions.

AI-900 Sample Practice Exam Questions

AI-900 Microsoft Azure AI Fundamentals Sample Practice Test

To view other Azure Certificate Study Guides, click here

Full Disclosure: Some of the links in this post are affiliate links. I receive a commission when you purchase through them.

Describe Artificial Intelligence Workloads and Considerations (15-20%)

Identify Features of Common AI Workloads

Identify Guiding Principles for Responsible AI

Describe considerations for fairness in an AI solution
Describe considerations for reliability and safety in an AI solution
Describe considerations for privacy and security in an AI solution
Describe considerations for inclusiveness in an AI solution
Describe considerations for transparency in an AI solution
Describe considerations for accountability in an AI solution

Microsoft AI principles

FATE: Fairness, Accountability, Transparency & Ethics in AI

AI-900

Amazon link (affiliate)

Describe Fundamental Principles of Machine Learning on Azure (30-35%)

Identify Common Machine Learning Types

Identify regression machine learning scenarios

Linear Regression

Identify classification machine learning scenarios

Classification modules

Identify clustering machine learning scenarios

Clustering modules

Describe Core Machine Learning Concepts

Identify features and labels in a dataset for machine learning

Framing: Key ML Terminology

Describe how training and validation datasets are used in machine learning

About train, validation & test sets in Machine learning

Describe how machine learning algorithms are used for model training

Which machine learning algorithm should I use?

Select and interpret model evaluation metrics for classification and regression

Metrics for Classification models

Metrics for Regression models

Azure certification Frequently Asked Questions

Identify Core Tasks in Creating a Machine Learning Solution

Describe Capabilities of No-Code Machine Learning with Azure Machine Learning Studio

Describe Features of Computer Vision Workloads on Azure (15-20%)

Identify Common Types of Computer Vision Solution

Identify features of image classification solutions

Train image classification models with MNIST data & scikit-learn

Identify features of object detection solutions

Detect common objects in images

Identify features of semantic segmentation solutions

Semantic Segmentation of Small Data using Keras on an Azure Deep Learning VM

Identify features of optical character recognition solutions

Optical Character Recognition (OCR)

Identify features of facial detection, recognition, and analysis solutions

Face detection and attributes

Face recognition concepts

How to analyze videos in real-time?

Identify Azure Tools and Services for Computer Vision Tasks

Identify capabilities of the Computer Vision service

What is Computer Vision?

Identify the capabilities of the Custom Vision service

What is Custom Vision?

Identify capabilities of the Face service

What is the Azure Face service?

Identify capabilities of the Form Recognizer service

What is Form Recognizer?

Describe Features of Natural Language Processing (NLP) Workloads on Azure (15-20%)

Identify Features of Common NLP Workload Scenarios

Identify features and uses for key phrase extraction

How to extract key phrases using Text Analytics?

Identify features and uses for entity recognition

Entity recognition cognitive skill

Identify features and uses for sentiment analysis

Sentiment analysis with cognitive service & Azure

Identify features and uses for language modeling

MSRLM: A scalable language modeling toolkit

Identify features and uses for speech recognition and synthesis

What is Speech service?

Get started with speech-to-text

Identify features and uses for translation

Translator app features

ai-900 Exam details & Tips

Identify Azure Tools and Services for NLP Workloads

Identify the capabilities of the Text Analytics service

What is the Text Analytics API?

Identify the capabilities of the Language Understanding Service (LUIS)

What is Language Understanding (LUIS)?

Identify the capabilities of the Speech service

What is Speech service?

Identify capabilities of the Text Translator service

Translator: Value of Translator

Describe Features of Conversational AI Workloads on Azure (15-20%)

Identify Common Use Cases for Conversational AI

Identify features and uses for webchat bots

GitHub is where the world builds software

Identify features and uses for telephone voice menus

What are Cloud auto attendants?

Identify features and uses for personal digital assistants

Cortana Skills Kit

Identify Azure Services for Conversational AI

Identify capabilities of the QnA Maker service

What is QnA Maker?

Identify capabilities of the Azure Bot Service

Azure Bot Service overview

This brings us to the end of AI-900 Study Guide

What do you think? Let me know in the comments section if I have missed out on anything. Also, I love to hear from you about how your preparation is going on!

In case you are looking for other Azure certification exams check out this page

Follow/Like ravikirans.com to Receive Updates

Sign up for Newsletter

Want to be notified as soon as I post? Subscribe to RSS feed / leave your email address in the subscribe section. Share the article to your social networks with the below links so it can benefit others.

Share the Article in Your Social Media Networks

  • 12
  • 3
  • 5
  •  
  •  
    20
    Shares

You may also like