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고급 단계

General knowledge of Azure

완료하는 데 약 16시간 필요
영어
자막: 영어

배울 내용

  • Define Artificial Intelligence and Machine Language

  • Describe AI tools and roles, and the Microsoft Team Data Science Process

  • Work with Azure APIs, including those for vision, language, and search

  • Create, train, test and deploy your AI model in the cloud

귀하가 습득할 기술

Python ProgrammingAzure AI modelsMicrosoft Team Data Sciences ProcessAzure Machine Learning ServiceAzure Machine Learning Workspace
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완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
유동적 마감일
일정에 따라 마감일을 재설정합니다.
고급 단계

General knowledge of Azure

완료하는 데 약 16시간 필요
영어
자막: 영어

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LearnQuest 로고

LearnQuest

강의 계획 - 이 강좌에서 배울 내용

1

1

완료하는 데 4시간 필요

Introduction to Artificial Intelligence

완료하는 데 4시간 필요
10개 동영상 (총 47분), 6 개의 읽기 자료, 4 개의 테스트
10개의 동영상
Definition of AI and Machine Learning4m
Machine Learning Alogrithms5m
Python Basics1m
Python Collections6m
Python Variables2m
Python Scientific Ecosystem and ML Libraries5m
Linear Regression with Scikit Learn8m
Logistic Regression with Scikit Learn9m
Module conclusion1m
6개의 읽기 자료
Exercise: Sign up for a free Azure account or login to your existing one.30m
Definition of AI10m
Comparison of machine learning algorithms10m
Links to learn more about python10m
Exercise Python Basics notebook30m
Exercise: Scikit-learn models for regression and classification40m
4개 연습문제
Practice: Python Collections2m
AI and ML Definitions6m
Deep Learning3m
Module 1: Introduction to Artificial Intelligence30m
2

2

완료하는 데 3시간 필요

Standardized AI Processes and Azure Resources

완료하는 데 3시간 필요
9개 동영상 (총 44분), 2 개의 읽기 자료, 3 개의 테스트
9개의 동영상
AI Tools2m
aiprocesses2m
TDSP Stages7m
TDSP General Manager Tasks4m
TDSP Task Lead Tasks5m
TDSP Project Lead Tasks5m
TDSPData Scientist Tasks14m
Module 2 Conclusion49
2개의 읽기 자료
Microsoft Team Data Science Process10m
Exercise: TDSP in Azure Devops1시간
3개 연습문제
Practice: TDSP6m
ML Studio3m
Module 2: Standardized AI Processes and Azure Resources30m
3

3

완료하는 데 3시간 필요

Azure Cognitive APIs

완료하는 데 3시간 필요
7개 동영상 (총 28분), 3 개의 읽기 자료, 3 개의 테스트
7개의 동영상
Cognitive Services Overview1m
Azure Computer Vision API12m
face api2m
Other Cognitive Services API's2m
Sentiment analysis6m
Module 3 Conclusion1m
3개의 읽기 자료
Exercise: Computer Vision Notebook30m
Exercise: Face API Notebook30m
Exercise: Sentiment Analysis Notebook30m
3개 연습문제
Search API3m
Translation3m
Module 3: Azure Cognitive APIs30m
4

4

완료하는 데 3시간 필요

Azure Machine Learning Service: Model Training

완료하는 데 3시간 필요
7개 동영상 (총 37분), 3 개의 읽기 자료, 5 개의 테스트
7개의 동영상
Azure ML Service1m
Ways to create an ML Workspace14m
Setting up Experiments2m
Train and register a model5m
Train a model using Azure ML11m
Module 4 Conclusion1m
3개의 읽기 자료
Microsoft Azure Machine Learning Documentation10m
Exercise: Workspace Notebook30m
Exercise: Model Training Notebook1시간
5개 연습문제
Azure ML Process3m
Practice: Azure ML Workspace6m
Practice: Train3m
Train Process Step3m
Module 4: Azure Machine Learning Service30m

검토

DEVELOPING AI APPLICATIONS ON AZURE의 최상위 리뷰

모든 리뷰 보기

자주 묻는 질문

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