Course Introduction (25 Hrs.)
This course will teach you several such principles with totally realistic examples on Power BI Desktop that can be utilized similarly on the Azure cloud. After studying several Power BI classes, you will master Azure Machine learning in the later portions of this course. You will learn how to analyze a picture using Computer Vision in this course. You'd also learn how to use Azure Text Analytics for language identification, sentiment analysis, key extraction, and entity recognition. Throughout this course, you will be able to use Power Query to execute.
Program Added Value
After completing this program, audiences will be able to:
- Identify different kinds of machine learning models.
- How to use the automated machine learning capability of Azure Machine Learning to train and deploy a predictive model.
- Use Azure Machine Learning to create and publish models without writing code.
- Create regression, classification, and clustering models using Azure Machine Learning designer.
- Build machine learning instances on Azure for Computer Vision.
- Perform Text Analytics on Microsoft Azure cloud.
After completing this program, audiences will be able pass the following exams:
- Exam DP-100: Designing and Implementing a Data Science Solution on Azure
Program Prerequisites
Before attending this course, audiences must have:
- Basic python programming skills
- Data skills
Program Topics
Introduction to create no-code predictive model with azure machine learning
Azure machine learning to train and deploy a predictive model
Create regression model with azure machine learning
Create classification model with azure machine learning
Create clustering model with azure machine learning
Attendees Required Resources
Personal Laptop with at least Windows 10 & Office 2016 is required to access course LAB.