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
Machine Learning Essentials for Business and Technical Decision Makers
Instructor: AWS Instructor
Access provided by Mirpur University of Science and Technology (MUST)
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
- Machine Learning
- Business Solutions
- Organizational Change
- Applied Machine Learning
- AI Product Strategy
- System Requirements
- Solution Design
- Organizational Strategy
- Technology Roadmaps
- Artificial Intelligence and Machine Learning (AI/ML)
- Business Analytics
- MLOps (Machine Learning Operations)
- Data-Driven Decision-Making
- Feasibility Studies
Details to know
Assessments
1 assignment
Taught in English
See how employees at top companies are mastering in-demand skills
There is 1 module in this course
What's included
1 reading1 assignment
Instructor
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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!
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