Скачать или смотреть [Aug-2024] Microsoft AI-900 Certification - The Ultimate Guide to Azure AI Fundamentals (Module-1.2)

#AI-900# - Microsoft Certified: Azure AI Fundamentals (Module - 1.2)

AI 900 Module 1: Artificial Intelligence workloads + ML
1.1 Fundamental AI Concepts (   • [Aug-2024] Microsoft AI-900 Certification ...  )
1.2 Fundamentals of machine learning (We're HERE!!)
1.3 Fundamentals of Azure AI services

AI 900 Module 2: Computer vision
2.1 Fundamentals of Computer Vision
2.2 Fundamentals of Facial Recognition
2.3 Fundamentals of optical character recognition

AI 900 Module 3: Natural Language Processing (NLP)
3.1 Fundamentals of Text Analysis with the Language Service
3.2 Fundamentals of question answering with the Language Service
3.3 Fundamentals of conversational language understanding
3.4 Fundamentals of Azure AI Speech

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

AI 900 Module 5: Generative AI
5.1 Fundamentals of Generative AI
5.2 Fundamentals of Azure OpenAI Service
5.3 Fundamentals of Responsible Generative AI


*AI 900 Module 1: Fundamental AI Concepts*

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

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.

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

Certification Overview:
https://learn.microsoft.com/en-us/cre...

Course Page:
https://learn.microsoft.com/en-us/tra...

Study Guide:
https://learn.microsoft.com/en-us/cre...

Certification Roadmap Poster:
https://query.prod.cms.rt.microsoft.c...