PDP Url

Predictive Analytics for IoT Solutions

Learn how to apply machine learning to your IoT data and gain a valuable advantage over your business competition. This course provides hands-on experience developing predictive maintenance and other ML solutions for IoT scenarios.

Self-Paced

Learning Style

Intermediate

Difficulty

12 Hours

Course Duration

Course Info

Download PDF

Certificate

See Sample

About Individual Course:
  • Individual course plan gives you access to this course
$0.00
$0.00
/ Each
When you subscribe, you get:
Learn Subscription plan gives you access to this course and over 820 other popular courses
On Sale!
Now Only $39.99 Regular Price $44.99
Now Only $39.99 Regular Price $44.99
/ Month
Team
Pricing
  • Buy 5-9 Enrollments And Save 68% ($12.74 monthly.)
  • Buy 10-19 Enrollments And Save 72% ($11.24 monthly.)
  • Buy 20-above Enrollments And Save 78% ($8.99 monthly.)
Learn how to apply machine learning to your IoT data and gain a valuable advantage over your business competition. This course provides hands-on experience developing predictive maintenance and other ML solutions for IoT scenarios.

Course Information

About this course:

This course is part of the Microsoft Professional Program Certificate in IoT.

Are you ready to start using machine learning to develop a deeper understanding of your IoT data?

This course uses hands-on lab activities to guide students through a series of machine learning implementations that are common for IoT scenarios, such as predictive maintenance. After completing this course, students will be able to implement predictive analytics using their IoT data.

The course is divided into four modules that cover the following topic areas:

  • Machine learning for IoT
  • Data preparation techniques
  • Predictive maintenance modeling
  • Fault prediction modeling

Course Objective:

  • Describe machine learning scenarios and algorithms commonly pertinent to IoT
  • Explain how to use the IoT solution Accelerator for Predictive Maintenance
  • Prepare data for machine learning operations and analysis 
  • Apply feature engineering within the analysis process
  • Choose the appropriate machine learning algorithms for given business scenarios 
  • Identify target variables based on the type of machine learning algorithm
  • Train, evaluate, and apply various regression models
  • Evaluate the effectiveness of regression models
  • Apply deep learning to a predictive maintenance scenario

Audience:

  • IoT Engineers
  • IoT developers

Prerequisite:

Before starting this course, students should understand the following: 

  • IoT terminology and business goals
  • How to use modern software development tools
  • Basic principles of Python programming
  • Basic data analytics techniques
  • General machine learning concepts

Outline

More Information

More Information
Brand Microsoft
Subjects Business Productivity
Lab Access No
Technology Microsoft
Learning Style Self-Paced Learning
Difficulty Intermediate
Course Duration 12 Hours
Language English

Reviews

Write Your Own Review
Only registered users can write reviews. Please Sign in or create an account

Contact A Learning Consultant


click here