Machine Learning Course For Beginners
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.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
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
Workload: between 4 and 360 hours
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
Examples of chapters you can add
You will be able to generate more chapters like the examples below
This is a free course, focused on personal and professional development. It is not equivalent to a technical, undergraduate, or postgraduate course, but offers practical and relevant knowledge for your professional journey.