AI in Healthcare Course
What will I learn?
Unleash the power of AI in healthcare with our course specially designed for engineering pros. Get stuck into data exploration, mastering skills like spotting outliers and understanding how data is spread. Improve your skills with data preparation strategies, including normalisation and encoding. Fine-tune your models using ensemble methods and hyperparameter tuning. Learn how to build predictive models, select the right features, and measure performance. Level up your expertise with practical, high-quality, and on-point learning.
Apoia's Unique Benefits
Build skills
Enhance your practical skills in the areas listed below
Master data exploration: Spot outliers and understand how data is spread.
Optimise models: Use ensemble methods and hyperparameter tuning effectively.
Enhance preprocessing: Normalise data and encode categorical variables efficiently.
Develop predictive models: Choose algorithms and apply cross-validation techniques.
Evaluate model performance: Analyse accuracy, precision, recall, and F1-score.
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 it offers practical and relevant knowledge for your professional journey.