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Introduction to Machine Learning: Art of the Possible

Discover ML best practices for business. Learn to integrate machine learning into your processes effectively.

Discover ML best practices for business. Learn to integrate machine learning into your processes effectively.

This course offers best practices and recommendations for developing machine learning (ML) competency and provides a roadmap for integrating ML into business processes. Designed for business leaders and decision-makers involved or potentially involved in ML projects, it focuses on the practical aspects of implementing ML solutions. The course aims to bridge the gap between technical ML concepts and their business applications, enabling leaders to make informed decisions about ML adoption and implementation strategies.

Instructors:

English

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Introduction to Machine Learning: Art of the Possible

This course includes

1 Hour

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,439

What you'll learn

  • Understand the potential of machine learning in business contexts

  • Learn best practices for developing ML competency in an organization

  • Gain insights into creating a roadmap for ML integration in business processes

  • Identify key considerations for successful ML project implementation

  • Understand the role of business leaders in driving ML adoption

  • Learn to assess the potential impact of ML on various business functions

Skills you'll gain

machine learning
business strategy
AI integration
decision making
technology adoption
ML roadmap
business processes
data-driven decisions

This course includes:

PreRecorded video

1 assignment

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

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Get a Completion Certificate

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There is 1 module in this course

This course provides an introduction to machine learning (ML) from a business perspective, focusing on the "art of the possible" in applying ML to various business processes. It offers best practices and recommendations for developing ML competency within an organization and outlines a roadmap for integrating ML into business operations. The curriculum is tailored for business leaders and decision-makers who are currently involved in or considering ML projects. By the end of the course, participants will have a clear understanding of how ML can be leveraged to drive innovation and efficiency in their business processes.

Introduction to Machine Learning: Art of the Possible

Module 1 · 1 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructor

Nikki Gibson
Nikki Gibson

116 Students

3 Courses

Principal Partner Success Manager at Coursera and Instructor at Autodesk

Nikki Gibson is currently the Principal Partner Success Manager at Coursera, where she has been instrumental in driving account success for key industry partners since March 2023. She previously held various roles at Coursera, including Senior Technical Account Manager and Technical Account Manager, where she focused on onboarding new partners and launching high-quality courses. Additionally, Nikki is an instructor for the course "Introduction to Machine Learning: Art of the Possible" at Autodesk, contributing her expertise in machine learning to the Coursera Project Network. She has a strong background in project management and customer success, having worked at GoodData prior to joining Coursera. With a commitment to education and technology, Nikki has developed onboarding materials and facilitated numerous training sessions, establishing herself as a trusted advisor in her field. Her diverse experience reflects her dedication to enhancing learning experiences through innovative educational practices.

Introduction to Machine Learning: Art of the Possible

This course includes

1 Hour

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,439

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.