Microsoft Azure AI-900 AI Fundamentals
 
All course content has been updated and aligned with the latest changes to the exam objectives, ensuring the materials remain relevant and effective for preparation. Additionally, quiz questions have been integrated at the end of each section to enhance learning and retention, allowing learners to test their understanding immediately.
 
This course is a comprehensive preparatory guide for Exam AI-900: Microsoft Azure AI Fundamentals students. It thoroughly covers all the objectives required for the exam, which include:
 
Describe AI Workloads and Considerations (15-20%): This section introduces the basics of AI-based workloads, exploring their applications and the considerations needed when working with AI technologies.
Describe Fundamental Principles of Machine Learning on Azure (30-35%): In this section, learners will gain an understanding of machine learning concepts and delve into practical exercises using Azure’s Machine Learning service.
Describe Features of Computer Vision Workloads on Azure (15-20%): This part of the course examines the capabilities of Azure’s Computer Vision service, including Custom Vision, Face service, and Form Recognizer service.
Describe Features of Natural Language Processing (NLP) Workloads on Azure (15-20%): Discussions will focus on Azure's Text Analytics service, Language Understanding Intelligence Service, and Speech service, detailing their use in processing natural language data.
Describe Features of Conversational AI Workloads on Azure (15-20%): This segment introduces the basics of creating conversational AI using QnA Maker and Azure Bot Framework.
 
The course also includes several practical labs that apply machine learning and AI services Azure offers. These labs are designed to give hands-on experience with the tools and technologies discussed throughout the course.
 
This course is ideal for:
 
Individuals seeking to obtain the Microsoft Azure AI Fundamentals Certification.
Those preparing to pass the Microsoft exam AI-900.
 
By the end of this course, students will be well-prepared to tackle the AI-900 certification exam. They will have a solid foundation in the fundamental concepts of artificial intelligence, including an introductory understanding of machine learning and APIs