AI 900 Module 1: Artificial Intelligence Workloads + ML
1.1 Basic AI Concepts (We are HERE!!)
1.2 Basics of machine learning
1.3 Azure AI Services Basics

AI 900 Module 2: Computer Vision
2.1 Basics of Computer Vision
2.2 Basics of facial recognition
2.3 Basics of optical character recognition

AI 900 Module 3: Natural Language Processing (NLP)
3.1 Basics of text analysis with the Language Service
3.2 Basics of answering questions using the language service
3.3 Basics of conversational language comprehension
3.4 Azure AI Speech Basics

AI 900 Module 4: Knowledge Acquisition + Document Intelligence
4.1 Basics of Azure AI Document Intelligence
4.2 Basics of Knowledge Mining and Azure AI Search

AI 900 Module 5: Generative AI
5.1 Basics of Generative AI
5.2 Azure OpenAI service basics
5.3 Fundamentals of responsible generative AI

**AI 900 Module 1: Basic AI Concepts**

Microsoft Certified: Azure AI Fundamentals
Demonstrate fundamental AI concepts related to developing Microsoft Azure software and services to create AI solutions.

Overview:
This certification allows you to demonstrate your knowledge of machine learning and AI concepts and related Microsoft Azure services. As a candidate for this certification, you should be familiar with the learning material, which you can complete at your own pace or with an instructor.

This certification is for you if you have both a technical and non-technical background. Experience in data science and software development is not required, but knowledge in the following areas is an advantage:
⪧ Basic cloud concepts
⪧ Client-server applications

You can use Azure AI Fundamentals to prepare for other Azure role-based certifications such as Azure Data Scientist Associate or Azure AI Engineer Associate, but it is not a prerequisite for any of these certifications.

If you pass this certification, you may be eligible for ACE college credit. For more information, see ACE College Credit for Certification Exams.

Skills assessed:
⩺ Describe the workloads and considerations for artificial intelligence
⩺ Describe the basic principles of machine learning on Azure
⩺ Describe the capabilities of computer vision workloads on Azure
⩺ Describe the capabilities of Natural Language Processing (NLP) workloads on Azure
⩺ Describe the capabilities of generative AI workloads on Azure

Certification overview:
https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-fundamentals

Course page:
https://learn.microsoft.com/en-us/training/courses/ai-900t00

Study Guide:
https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-900

Poster with the certification plan:
https://query.prod.cms.rt.microsoft.com/cms/api/am/binary/RE2PjDI

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