AI in Healthcare Course
What will I learn?
Unlock the power of AI in healthcare with our in-depth course designed for engineering professionals. Get stuck in to data exploration, learning the best ways to spot outliers and understand how data is spread out. Improve your abilities with data preparation methods, including normalising and encoding data. Fine-tune models using ensemble methods and hyperparameter tuning. Learn how to build predictive models, select the right features, and assess how well they perform. Boost your knowledge with learning that's practical, top-notch, and to the point.
Apoia's Unique Features
Develop skills
Enhance the growth of the practical skills listed below
Master data exploration: Find outliers and understand data distributions properly.
Optimize models: Use ensemble methods and hyperparameter tuning effectively to get the best results.
Enhance preprocessing: Normalize data and encode categorical variables properly and efficiently.
Develop predictive models: Choose the right algorithms and use cross-validation techniques like a pro.
Evaluate model performance: Analyse accuracy, precision, recall, and F1-score to see how well your model is doing.
Suggested summary
Workload: between 4 and 360 hours
Before starting, you can modify the chapters and the workload.
- Select which chapter to commence with
- Add or remove chapters
- Increase or decrease the course workload
Examples of chapters you can include
You’ll be able to generate additional chapters similar to the examples below
This is a free course focused on personal and professional growth. It does not equate to a technical, undergraduate, or postgraduate qualification, but offers practical and relevant knowledge for your professional journey.