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Machine Learning Course For Beginners
Unlock the potential of machine learning in design with our beginner-friendly course, specially made for design okes (professionals). Dive into practical applications, from making user experience even better to klapping (overcoming) design challenges with machine learning. Master essential skills like data preparation, model training, and performance evaluation. Learn to analyse results, write it all down nicely (document findings), and chat about (communicate) what you found out properly. Make your design projects top-notch with cutting-edge techniques and change the way you create stuff today.
- Master ML concepts: Get your head around (Grasp) the main machine learning ideas and how to use them.
- Enhance UX design: Use ML to make user experience better in design projects.
- Analyse model results: Use what you learn to make good design choices.
- Report effectively: Explain what you found out about ML to people who aren't techy.
- Optimise data prep: Sort out (Clean) and get data ready to make models work properly (superior model performance).

from 4 to 360h flexible workload
certificate recognized by MEC
What will I learn?
Unlock the potential of machine learning in design with our beginner-friendly course, specially made for design okes (professionals). Dive into practical applications, from making user experience even better to klapping (overcoming) design challenges with machine learning. Master essential skills like data preparation, model training, and performance evaluation. Learn to analyse results, write it all down nicely (document findings), and chat about (communicate) what you found out properly. Make your design projects top-notch with cutting-edge techniques and change the way you create stuff today.
Elevify advantages
Develop skills
- Master ML concepts: Get your head around (Grasp) the main machine learning ideas and how to use them.
- Enhance UX design: Use ML to make user experience better in design projects.
- Analyse model results: Use what you learn to make good design choices.
- Report effectively: Explain what you found out about ML to people who aren't techy.
- Optimise data prep: Sort out (Clean) and get data ready to make models work properly (superior model performance).
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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