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

Instructor: AWS Instructor
Access provided by Ecole Supérieure des Industries du Textile et de l'Habillement
(10 reviews)
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
- Organizational Change
- System Requirements
- Solution Design
- Machine Learning
- Technology Roadmaps
- Business Analytics
- Data-Driven Decision-Making
- Business Solutions
- Organizational Strategy
- AI Product Strategy
- Feasibility Studies
- MLOps (Machine Learning Operations)
- Artificial Intelligence and Machine Learning (AI/ML)
- Applied Machine Learning
Details to know
1 assignment
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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Reviewed on Oct 22, 2025
Great introduction to an overall journey towards building an ML organisation. Packed with information and concepts!
Reviewed on Mar 3, 2025
this is better of the beginners to learn about ML essentials
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