AI in Healthcare Course
What will I learn?
Unlock the potential of AI in healthcare with our comprehensive course geared for engineering professionals. Deep dive into data exploration, mastering techniques like outlier detection and data distribution analysis. Ramp up your skills with data preprocessing strategies, including normalisation and encoding. Optimise models through ensemble methods and hyperparameter tuning. Learn predictive model development, feature selection, and evaluation metrics. Elevate your expertise with practical, top-notch, and concise learning.
Apoia's Differentials
Develop skills
Strengthen the development of the practical skills listed below
Master data exploration: Detect outliers and understand data distributions.
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 offers practical and relevant knowledge for your professional journey.