This is for individual Membership: When you are registering for yourself. if you want to register for a group or team, check out the team membership.
Worth more than $10K! 48-hours free trial
Member-only discount on upcoming in-person training sessions.
Yearly and Monthly plans. You can cancel anytime.
From: $49.00 / month with a 2-day free trial
EUR: €45.65
GBP: £39.16
NZD: $82.34
CAD: $66.91
AUD: $75.12
Academy Membership - for Teams
This is for team Membership: When you have a group of team members registering. if you want to register for one person, check out the individual membership.
Worth more than $10K! 48-hours free trial
Member-only discount on upcoming in-person training sessions.
Yearly and Monthly plans. You can cancel anytime.
From: $49.00 / month with a 2-day free trial
EUR: €45.65
GBP: £39.16
NZD: $82.34
CAD: $66.91
AUD: $75.12
per member
Low-Code No-Code Machine Learning in Power BI
Using machine learning is now an embedded feature in all Power Platform tools like Microsoft Power BI, Power Apps, and Power Automate. In this course, you will learn how to use AI inside Power BI Desktop and Power BI service in the dataflow. First, how to use Automated ML inside Power BI service using the data flow will be explained. the audience will also learn how to use the created web service in Azure ML studio inside Power BI Desktop and Power BI service (data flow). This course is good for all data architect, data science, business intelligence developer, and data analyst.
Using machine learning is now an embedded feature in all Power Platform tools like Microsoft Power BI, Power Apps, and Power Automate. In this course, you will learn how to use AI inside Power BI Desktop and Power BI service in the dataflow. First, how to use Automated ML inside Power BI service using the data flow will be explained. the audience will also learn how to use the created web service in Azure ML studio inside Power BI Desktop and Power BI service (data flow). This course is good for all data architect, data science, business intelligence developer, and data analyst.
This course has two main modules and each module has some parts. The main topic would be:
Module 1: Automated ML in Data Flow
In this module you will learn what machine learning approaches, life cycle, process, what is classification and regression analysis. Then how to use Automated ML inside Power BI service in Data flow for the aim pf classification and regression.
Introduction- Low Code No code ML in Power BI
Introduction to Machine Learning
Automated ML for Classification in Data Flow
Automated ML in Data Flow- Evaluation and Apply Model
Automated ML Concepts
Automated ML for Regression in Data Flow
Module 2: Azure ML Integration in Power BI desktop
In this module you will learn how to create a machine learning webservice inside Azure mL Studio standard, and how to Create webservice inside Azure ML studio standard version, and how to connect Power BI service tenant to Azure mL, and finally, how to call Azure ML service inside Power BI desktop and Service
In this module you will learn what machine learning approaches, life cycle, process, what is classification and regression analysis. Then how to use Automated ML inside Power BI service in Data flow for the aim pf classification and regression.
Lessons:
• Introduction- Low Code No code ML in Power BI
• Introduction to Machine Learning
• Automated ML for Classification in Data Flow
• Automated ML in Data Flow- Evaluation and Apply Model
• Automated ML Concepts
• Automated ML for Regression in Data Flow
In this module you will learn how to create a machine learning webservice inside Azure mL Studio standard, and how to Create webservice inside Azure ML studio standard version, and how to connect Power BI service tenant to Azure mL, and finally, how to call Azure ML service inside Power BI desktop and Service
Lessons:
• Azure ML Standard Web Service Creation
• Power BI access to Azure ML Webservice