[AI-900] Microsoft Certified: Azure AI Fundamentals

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About Course

Overview: Azure AI Fundamentals

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.

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

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.

You may be eligible for ACE college credit if you pass this certification. See ACE college credit for certification exams for details.

Skills measured

  • Describe Artificial Intelligence workloads and considerations
  • Describe fundamental principles of machine learning on Azure
  • Describe features of computer vision workloads on Azure
  • Describe features of Natural Language Processing (NLP) workloads on Azure
  • Describe features of generative AI workloads on Azure
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What Will You Learn?

  • Fundamentals of Artificial Intelligence and machine learning
  • Core AI workloads and their considerations
  • Azure's machine learning capabilities and principles
  • Computer vision applications and features in Azure
  • Natural Language Processing (NLP) implementations
  • Generative AI workloads using Azure services
  • Microsoft Azure AI services and their practical applications

Course Content

Microsoft Azure AI Fundamentals: AI Overview
Artificial Intelligence (AI) empowers amazing new solutions and experiences, and Microsoft Azure provides easy-to-use services to help you get started. With AI, we can build solutions that seemed like science fiction a short time ago; enabling incredible advances in health care, financial management, environmental protection, and other areas to make a better world for everyone. Prerequisites None

  • Introduction to AI
  • Understand machine learning
  • Understand computer vision
  • Understand natural language processing
  • Understand document intelligence and knowledge mining
  • Understand generative AI
  • Challenges and risks with AI
  • Understand Responsible AI
  • Knowledge check
  • Summary

Microsoft Azure AI Fundamentals: Computer Vision
Machine learning is the basis for most modern artificial intelligence solutions. A familiarity with the core concepts on which machine learning is based is an important foundation for understanding AI. Learning objectives After completing this module, you will be able to: Describe core concepts of machine learning Identify different types of machine learning Describe considerations for training and evaluating machine learning models Describe core concepts of deep learning Use automated machine learning in Azure Machine Learning service Prerequisites Before starting this module, you should have: A basic knowledge of mathematics Familiarity with Microsoft Azure and cloud computing This module is part of these learning paths Microsoft Azure AI Fundamentals: AI Overview Module assessment Assess your understanding of this module. Sign in and answer all questions correctly to earn a pass designation on your profile.

Microsoft Azure AI Fundamentals: Natural Language Processing

Microsoft Azure AI Fundamentals: Document Intelligence and Knowledge Mining

Microsoft Azure AI Fundamentals: Generative AI

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