Low-Code No-Code Machine Learning in Power BI

$199.95

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.

Length: 1 Hour and 22 Minutes

Description

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.

Prerequisite:
 There is no prerequisite for this course.

Link to the agenda and sample videos from the course

Length: 1 Hour and 22 Minutes

  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 web service inside Azure mL Studio standard, and how to Create web service 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

  • Azure ML Standard Web Service Creation
  • Power BI access to Azure ML Webservice

Instructor

Dr. Leila Etaati Our trainer is the world’s well-known name in the Microsoft Data Science and Power BI fields. Leila Etaati is Microsoft AI, and Data Platform (Most Valuable Professional) focused on AI and BI Microsoft technologies; Microsoft has awarded her MVP because of her dedication and expertise in Microsoft BI technologies from 2016 till now. She is a speaker in the world’s best and biggest Microsoft Data Platform, BI and Power BI, AI conferences such as Microsoft Ignite, Microsoft Business Applications Summit, Microsoft Data Insight Summit, PASS Summits, PASS Rallys, SQLBits, TechEds, and so on. She is the author of some books on this topic, and she has more than 15 years’ experience in Microsoft BI technologies and Data science. Leila is the co-founder of RADACAD and a consultant for more than seven years.

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