In this course, you will learn about best practices and recommendations for machine learning (ML). The course explores how to roadmap for integrating ML into your business processes, explores requirements to determine if ML is the appropriate solution to a business problem, and describes what components are needed for a successful organizational adoption of ML.
Machine Learning Essentials for Business and Technical Decision Makers
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Gain insight into a topic and learn the fundamentals.
4.8
(10 reviews)
Beginner level
No prior experience required
1 hour to complete
Flexible schedule
Learn at your own pace
What you'll learn
Understand the basics of machine learning to help evaluate the benefits and risks associated with adopting ML in various business cases.
Identify the data, time, and production requirements for a successful ML project.
Describe how to adapt an organization to achieve and sustain success using ML.
Skills you'll gain
- Solution Design
- MLOps (Machine Learning Operations)
- Organizational Change
- Business Solutions
- AI Product Strategy
- Training Programs
- System Requirements
- Data-Driven Decision-Making
- Machine Learning
- Artificial Intelligence and Machine Learning (AI/ML)
- Feasibility Studies
- Business Analytics
- Technology Roadmaps
- Applied Machine Learning
- Product Roadmaps
- Organizational Strategy
- AI Enablement
Details to know
Assessments
1 assignment
Taught in English
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There is 1 module in this course
What's included
1 reading1 assignment
Instructor
Offered by
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Status: PreviewNortheastern University
Status: Free Trial
Status: Free Trial
Status: Preview
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Learner reviews
4.8
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Showing 3 of 10
MS
5
Reviewed on Mar 3, 2025
this is better of the beginners to learn about ML essentials
PD
5
Reviewed on Oct 22, 2025
Great introduction to an overall journey towards building an ML organisation. Packed with information and concepts!
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
More questions
Financial aid available,