COAlberta Machine Intelligence Institute · on Coursera
Introduction to Applied Machine Learning
Intermediate English Professional CertificateFREE
What you'll learn
Define a machine-learning problem clearly
Turn a business need into an ML application
Survey available data and spot ML opportunities
Prepare data for effective machine learning
Recognise where ML adds value — and where it doesn't
Set up a project for success before modelling
This course includes
Yes
Certificate
Yes
Mobile access
English
Language
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Instructor
AK
Anna Koop
Coursera instructor
— learners— courses — instructor rating
Anna Koop teaches for the Alberta Machine Intelligence Institute (Amii), one of Canada's leading AI research institutes. The course reflects Amii's applied focus — getting ML to work on real problems, not just algorithms in isolation.
Requirements
- No prior ML required for this first course
Who this course is for
- Professionals applying ML to their domain
- Analysts and managers scoping ML projects
- Beginners starting the Applied ML Specialization
About this provider
CO
Coursera
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Frequently asked questions
Not much — this first course focuses on problem definition and data preparation. Later courses in the specialization do expect Python, basic linear algebra, and statistics.
Professionals across domains — finance, medicine, engineering, business — who want to apply ML, and anyone who needs to scope ML projects well before modelling.
You can audit the full course free on Coursera. A certificate requires a subscription.
It centres on framing and data prep rather than algorithms, so experienced practitioners may find the first course introductory — its value is the applied, project-setup mindset.
The Alberta Machine Intelligence Institute (Amii), a leading Canadian AI research institute, as the first course of its Applied Machine Learning Specialization.