AI MODEL DEVELOPMENT AND TRAINING IN HEALTHCARE
Course 7000
5 Days
$3,000
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.
Who Should Take This Course?
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.
Course Format:
Lectures, facilitator presentations, guided discussions, practical hands-on exercises (both individual and large-group), collaborative discussions, and action planning.
Payment Information: We accept credit card payments. To register using a purchase order (without a surcharge), please send the purchase order to customerservice@hazadvisors.com
Learning Objectives
- Understand the key steps in developing AI models for healthcare.
- Learn to preprocess and manage healthcare datasets for model training.
- Explore techniques for building and optimizing machine learning models.
- Gain hands-on experience in training models and evaluating their performance.
- Develop skills to deploy AI models in healthcare environments.
Course Topics
Introduction to AI Model Development
- Overview of the model development lifecycle
- The role of AI in transforming healthcare delivery
Data Collection and Preprocessing
- Gathering and preparing healthcare data for analysis
- Techniques for data cleaning, normalization, and transformation
Feature Engineering and Selection
- Identifying relevant features for healthcare models
- Techniques for feature extraction and selection
Building Machine Learning Models
- Choosing the right algorithms for healthcare applications
- Implementing models using popular frameworks (e.g., Scikit-learn, TensorFlow)
Training and Optimizing Models
- Best practices for model training and hyperparameter tuning
- Techniques for preventing overfitting and improving model accuracy
Evaluating Model Performance
- Metrics for assessing model effectiveness in healthcare settings
- Techniques for validating and testing models
Deployment and Integration
- Strategies for deploying models in clinical environments
- Ensuring seamless integration with existing healthcare systems
Prerequisites
To make the most out of this course, you should have:
Class Schedule
We accept credit card payments. To register using a purchase order (without a surcharge), please send the purchase order to customerservice@hazadvisors.com
**Rates below are for each participant.
August 26 - August 30, 2024
9:00 AM – 5:00 PM EST
AI Model Development
Virtual, EST
$3,000
Class ID: 7000
September 9 - September 13, 2024
9:00 AM – 5:00 PM EST
AI Model Development
Virtual, EST
$3,000
Class ID: 7000
October 7 - October 11, 2024
9:00 AM – 5:00 PM EST
AI Model Development
Virtual, EST
$3,000
Class ID: 7000
November 4 - November 8, 2024
9:00 AM – 5:00 PM EST
AI Model Development
Virtual, EST
$3,000
Class ID: 7000
January 20 - January 24, 2025
9:00 AM – 5:00 PM EST
AI Model Development
Virtual, EST
$3,000
Class ID: 7000
February 10 - February 14, 2025
9:00 AM – 5:00 PM EST
AI Model Development
Virtual, EST
$3,000
Class ID: 7000
March 17 - March 21, 2025
9:00 AM – 5:00 PM EST
AI Model Development
Virtual, EST
$3,000
Class ID: 7000
