このコースについて

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100%オンライン
自分のスケジュールですぐに学習を始めてください。
柔軟性のある期限
スケジュールに従って期限をリセットします。
上級レベル

General knowledge of Azure

約16時間で修了
英語
字幕:英語

学習内容

  • 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

習得するスキル

Python ProgrammingAzure AI modelsMicrosoft Team Data Sciences ProcessAzure Machine Learning ServiceAzure Machine Learning Workspace
共有できる証明書
修了時に証明書を取得
100%オンライン
自分のスケジュールですぐに学習を始めてください。
柔軟性のある期限
スケジュールに従って期限をリセットします。
上級レベル

General knowledge of Azure

約16時間で修了
英語
字幕:英語

提供:

LearnQuest ロゴ

LearnQuest

シラバス - 本コースの学習内容

1

1

4時間で修了

Introduction to Artificial Intelligence

4時間で修了
10件のビデオ (合計47分), 6 readings, 4 quizzes
10件のビデオ
Definition of AI and Machine Learning4 分
Machine Learning Alogrithms5 分
Python Basics1 分
Python Collections6 分
Python Variables2 分
Python Scientific Ecosystem and ML Libraries5 分
Linear Regression with Scikit Learn8 分
Logistic Regression with Scikit Learn9 分
Module conclusion1 分
6件の学習用教材
Exercise: Sign up for a free Azure account or login to your existing one.30 分
Definition of AI10 分
Comparison of machine learning algorithms10 分
Links to learn more about python10 分
Exercise Python Basics notebook30 分
Exercise: Scikit-learn models for regression and classification40 分
4の練習問題
Practice: Python Collections2 分
AI and ML Definitions6 分
Deep Learning3 分
Module 1: Introduction to Artificial Intelligence30 分
2

2

3時間で修了

Standardized AI Processes and Azure Resources

3時間で修了
9件のビデオ (合計44分), 2 readings, 3 quizzes
9件のビデオ
AI Tools2 分
aiprocesses2 分
TDSP Stages7 分
TDSP General Manager Tasks4 分
TDSP Task Lead Tasks5 分
TDSP Project Lead Tasks5 分
TDSPData Scientist Tasks14 分
Module 2 Conclusion49
2件の学習用教材
Microsoft Team Data Science Process10 分
Exercise: TDSP in Azure Devops1 時間
3の練習問題
Practice: TDSP6 分
ML Studio3 分
Module 2: Standardized AI Processes and Azure Resources30 分
3

3

3時間で修了

Azure Cognitive APIs

3時間で修了
7件のビデオ (合計28分), 3 readings, 3 quizzes
7件のビデオ
Cognitive Services Overview1 分
Azure Computer Vision API12 分
face api2 分
Other Cognitive Services API's2 分
Sentiment analysis6 分
Module 3 Conclusion1 分
3件の学習用教材
Exercise: Computer Vision Notebook30 分
Exercise: Face API Notebook30 分
Exercise: Sentiment Analysis Notebook30 分
3の練習問題
Search API3 分
Translation3 分
Module 3: Azure Cognitive APIs30 分
4

4

3時間で修了

Azure Machine Learning Service: Model Training

3時間で修了
7件のビデオ (合計37分), 3 readings, 5 quizzes
7件のビデオ
Azure ML Service1 分
Ways to create an ML Workspace14 分
Setting up Experiments2 分
Train and register a model5 分
Train a model using Azure ML11 分
Module 4 Conclusion1 分
3件の学習用教材
Microsoft Azure Machine Learning Documentation10 分
Exercise: Workspace Notebook30 分
Exercise: Model Training Notebook1 時間
5の練習問題
Azure ML Process3 分
Practice: Azure ML Workspace6 分
Practice: Train3 分
Train Process Step3 分
Module 4: Azure Machine Learning Service30 分

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