Description
This course guides you through the process of building and training AI models tailored for healthcare applications. You’ll learn how to develop models that can analyze data, predict outcomes, and support clinical decision-making.
What You’ll Learn:
- Introduction to AI Model Development
- Data Collection and Preprocessing
- Feature Engineering and Selection
- Building Machine Learning Models
- Training and Optimizing Models
- Evaluating Model Performance
- Deployment and Integration
Who Should Enroll:
- This course is perfect for healthcare professionals, data scientists, and AI developers interested in building AI models for healthcare. If you’re eager to apply AI techniques to improve patient care and streamline healthcare processes, this course is for you.
Prerequisites:
- Introduction to Machine Learning
- AI Applications in Clinical Decision Support
- Understanding Healthcare Data
- Python Programming for AI
Course Format:
- 5-Day online course with a mix of video lessons, hands-on projects, and interactive discussions.