JavaScript seems to be disabled in your browser.
You must have JavaScript enabled in your browser to utilize the functionality of this website.

Home
AI for Healthcare

Sessions 2 days
Duration 15 hrs
Level Beginner
Assessment NA

Venue

12 Woodlands Square #07-85/86/87 Woods Square Tower 1, Singapore 737715. 5 mins walk from Woodlands (NS9) MRT station.

The venue is disabled-friendly.

Download Course Brochure

Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

AI for Healthcare

Course Code: C1018

Be the first to review this product

The integration of artificial intelligence (AI) in healthcare is transforming the industry. Stay ahead of the curve and gain a comprehensive understanding of AI applications, techniques, and ethics in healthcare with our online course. Led by healthcare professionals and AI experts, this course will equip you with the knowledge and skills to improve diagnosis, treatment, and patient care using cutting-edge techniques like machine learning, deep learning, natural language processing, and computer vision.

You'll also explore ethical considerations and regulatory frameworks related to AI in healthcare. Through hands-on projects and case studies, you'll develop practical solutions to real-world healthcare challenges. This course is designed for professionals looking to advance their knowledge and skills in AI for healthcare. Join us now to unlock the future of healthcare.

For WSQ funding, please checkout the details at WSQ - Data Analytics and AI for Healthcare

Course Fee

$600.00 (GST-exclusive)

$654.00 (GST-inclusive)

Mode of Training

Physical Classroom Training
Synchronised Teaching using ZOOM
Corporate Training at Company Premise

Course Date * Course Date

Course Time * Course Time

9:30am - 5:30pm

No. of Participants

Sponsorship

Self-Sponsored
Employer-Sponsored

Name(s) on Certificate *

Additional Message or Emails for Course Notification

* Required Fields

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

We provide free consultation related to the subject matter after the course.
Please email your queries to enquiry@tertiaryinfotech.com and we will forward your queries to the subject matter experts.

You can register your interest without upfront payment. There is no penalty for withdrawal of the course before the class commences.
We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% for any paid amount.
Note the venue of the training is subject to changes due to availability of the classroom.

Course Details

Topic1 Introduction to AI in Healthcare

Understanding the Benefits of AI in Healthcare
Interpreting Data Patterns in Healthcare
Extracting Insights from Healthcare Data
Case Studies:

Topic 2 Data Science and Business Insights

Evaluating Data Science Solutions for Healthcare
Managing Data Science Projects in Healthcare
Prioritizing Data Science Projects for Maximum ROI
Customizing Data Models for Healthcare Hypotheses
Case Studies:

Topic 3 Data Mining and Analysis

Running Complex Data Mining Models in Healthcare
Managing Organizational Capacity for Data Science Projects
Exploring Healthcare Data Sets Visually and Analytically
Case Studies:

Topic 4 Advanced Data Science Techniques

Communicating the Results of Data Science Projects
Making Recommendations Based on Data Insights
Application of Statistics and Data Mining in Healthcare
Tools and Techniques for Advanced Data Modeling
Measuring the Capability of the Data Science Team
Case Studies:

Course Info

Prerequisite

This is a intermediate course. The following knowledge is assumed:

Basic Python

Software Requirement

Please install the following software prior to the class

1. Pycharm : - Install Pycharm (https://www.jetbrains.com/pycharm/download/)

2 . Install Tensorflow on Mac

Please follow this guide to install Tensorflow on Mac https://www.tensorflow.org/install/install_mac

Alternatively, you can enter the following commands on your Mac terminal

pip3 install tensorflow

3 . Install Tensorflow on Window

Please follow this guide to install Tensorflow on Window https://www.tensorflow.org/install/install_windows

Tensorflow only support Python 3.5, you can install Tensorflow in Python 3.5 the following ways:

Install Anaconda for Windows https://www.anaconda.com/download/#windows
Create a new Conda environment in Pycharm for Python 3.5

Job Roles

Data Scientist
Healthcare Analyst
Clinical Researcher
Medical Practitioner
AI Developer
Machine Learning Engineer
Health Informatics Specialist
Biostatistician
Medical Imaging Specialist
Robotics Engineer
Bioinformatician
Pharmacologist
Genetic Counselor
Public Health Specialist
Medical Writer

Trainers

Dwight Nuwan Fonseka is Head of Data Science at Plano Pte. Ltd. and an ACLP-certified trainer with deep expertise in data analytics, machine learning, and AI applications. He has extensive hands-on experience developing predictive models, RShiny dashboards, and deep learning solutions using R, Python, TensorFlow, and Keras. With a strong professional background in healthcare, finance, and customer analytics, Dwight brings an applied perspective to teaching AI, focusing on both the opportunities and risks of emerging technologies.