AI for Healthcare

Course Information

  • 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

Certification

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

Additional Information

Duration

2 months (Full Time)

Assessment

3 hours online assessment after each module

Class (No of teacher : student): 1:20

Intake

  • 3 Nov 2025 to 29 Sep 2026
  • 4 May 2026 to 26 June 2026
  • 2 Jan 2026 to 2 Mar 2026
  • 2 Mar 2026 to 27 Apr 2026

Enrolment Requirement

  • Age: 21 years old and above
  • Language Proficiency: At least C6 for GCE "O" Level English
  • Academic: At least C6 for GCE "O" Level in any 3 subjects

Graduation Requirement

  • Attendance: 75%
  • Assessment: Passed

AI for Healthcare

Course Code: C1018

Be the first to review this product

What's This Course About

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.

WSQ Funding

Full Fee $600.00 Before GST
GST $54.00 9% of fee
Baseline Nett $354.00 SG/PR age 21+ · 50% funded
MCES / SME Nett $234.00 SG age 40+ · 70% funded
Funding and Grant Applications

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)

Course Date

Course Time

* Required Fields

Additional Note

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

Post-Course Support

  • 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.

Cancellation & Reschedule Policy

  • 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

Course Details

What You'll Learn

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:

Job Roles

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

Trainers

Dr. Sudipta Samanta

Dr. Sudipta Samanta received his Ph.D. for his research in the field of computational Biophysics in 2009. He has more than 9 years research experience as a scientist. His current interests include Machine Learning, Deep Learning, Health Care Data analysis, and computer simulation. He is also the founder of "Baby Lion Organic medicinal Farm".

Review

Write Your Own Review

You're reviewing: AI for Healthcare