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Project Planning and Machine Learning

Master industrial IoT concepts from project planning to machine learning, with hands-on sensor calibration and big data analytics.

Master industrial IoT concepts from project planning to machine learning, with hands-on sensor calibration and big data analytics.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Developing Industrial Internet of Things Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.7

(106 ratings)

7,969 already enrolled

Instructors:

English

پښتو, বাংলা, اردو, 3 more

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Project Planning and Machine Learning

This course includes

17 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Learn effective project staffing and execution techniques

  • Master sensor calibration and measurement validation

  • Understand file systems and big data storage solutions

  • Gain practical machine learning algorithm knowledge

  • Develop skills in big data analytics and preparation

Skills you'll gain

Project Management
Machine Learning
Sensor Calibration
Big Data Analytics
IoT Systems
Data Processing
File Systems
Predictive Analytics
System Architecture
Product Development

This course includes:

7.7 Hours PreRecorded video

4 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

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Certificate

Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 4 modules in this course

This comprehensive course combines practical project management with advanced IoT concepts. Students learn essential skills in project planning, staffing, and execution while diving deep into technical aspects like sensor calibration, file systems, and machine learning algorithms. The curriculum covers both theoretical foundations and hands-on applications, including product development, big data analytics, and practical machine learning implementations in industrial IoT contexts. Special emphasis is placed on real-world applications and industry-relevant skills.

Project Planning and Staffing

Module 1 · 10 Hours to complete

Sensors and File Systems

Module 2 · 2 Hours to complete

Machine Learning

Module 3 · 2 Hours to complete

Big Data Analytics

Module 4 · 2 Hours to complete

Fee Structure

Instructor

David Sluiter
David Sluiter

4.6 rating

160 Reviews

36,058 Students

4 Courses

Adjunct Professor

David Sluiter is an Adjunct Professor in the Department of Electrical, Computer, and Energy Engineering at the University of Colorado Boulder, where he has been teaching since the Fall of 2016. He specializes in logic design and has developed courses such as "Developing the Industrial Internet of Things" for the Embedded Systems Engineering Program. With a Bachelor of Science in Electrical and Computer Engineering from Michigan Technological University, Sluiter brings extensive industry experience to his academic role.Before joining CU Boulder, Sluiter worked in various engineering positions, including designing cache controllers and floating-point units for Sperry Univac's mainframes and developing 3D graphics chips for a graphics company. He played a key role in establishing LSI Logic's first office in Colorado and later contributed to Seagate's development of self-encrypting hard drives and solid-state enterprise drives. His expertise spans physical layout design, Verilog/SystemVerilog programming, logic synthesis, and storage protocols such as SATA, SAS, and PCIe/NVMe. Through his courses on Industrial IoT Markets and Security, Modeling and Debugging Embedded Systems, and Project Planning with Machine Learning, David Sluiter aims to prepare students for the evolving landscape of embedded systems and IoT technology.

Project Planning and Machine Learning

This course includes

17 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.