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• AI-900: Course Overview

  This certification is an opportunity for you to demonstrate knowledge of machine learning and AI concepts and related Microsoft Azure services. As a candidate for this certification, you should have familiarity with the self-paced or instructor-led learning material.

  You can use Azure AI Fundamentals 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.

• AI-900: Course Modules

  Module 1: Introduction to AI Concepts

  Module 2: Introduction to machine learning concepts

  Module 3: Introduction to generative AI concepts

  Module 4: Get started with generative AI in Azure

  Module 5: Get started with speech in Azure

  Module 6: Introduction to computer vision concepts

  Module 7: Get started with computer vision in Azure

  Module 8: Introduction to AI-powered information extraction concepts

  Module 9: Get started with AI-powered information extraction in Azure

• AI-900: Course Objectives

  By the end of the course you will be able to:

  • Describe various AI workloads and considerations.
  • Understand fundamental machine learning principles on Azure.
  • Explore features of computer vision workloads on Azure.
  • Familiarise themselves with Natural Language Processing (NLP) workloads on Azure.
  • Identify features of conversational AI workloads on Azure.

• AI-900: Prerequisites

  This certification is intended for you if you have both technical and non-technical backgrounds. Data science and software engineering experience are not required. However, you would benefit from having awareness of:

  • Basic cloud concepts
  • Client-server applications.

  Basic computer and web browser familiarity is recommended.