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Machine Learning Course For Beginners
Unlock the power of Machine Learning in design with our beginner-friendly course, specially crafted for design professionals in India. Explore practical applications, from improving user experience to tackling design challenges using Machine Learning. Develop key skills such as data preparation, model training, and performance assessment. Learn to interpret results, document your findings, and communicate insights effectively. Enhance your design projects with the latest techniques and revolutionise your creative workflow today.
- Understand ML concepts: Grasp fundamental Machine Learning principles and their applications relevant to the Indian context.
- Improve UX design: Utilise ML to enhance user experience in design projects, focusing on the needs of Indian users.
- Analyse model results: Use insights derived from model analysis to inform impactful design decisions.
- Report effectively: Clearly communicate Machine Learning findings to a non-technical audience.
- Optimise data prep: Clean and preprocess data to achieve better model performance.

flexible workload of 4 to 360h
certificate recognized by MEC
What will I learn?
Unlock the power of Machine Learning in design with our beginner-friendly course, specially crafted for design professionals in India. Explore practical applications, from improving user experience to tackling design challenges using Machine Learning. Develop key skills such as data preparation, model training, and performance assessment. Learn to interpret results, document your findings, and communicate insights effectively. Enhance your design projects with the latest techniques and revolutionise your creative workflow today.
Elevify advantages
Develop skills
- Understand ML concepts: Grasp fundamental Machine Learning principles and their applications relevant to the Indian context.
- Improve UX design: Utilise ML to enhance user experience in design projects, focusing on the needs of Indian users.
- Analyse model results: Use insights derived from model analysis to inform impactful design decisions.
- Report effectively: Clearly communicate Machine Learning findings to a non-technical audience.
- Optimise data prep: Clean and preprocess data to achieve better 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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