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AI for Healthcare

Course Information

  • Sessions 2 days
  • Duration 15 hrs
  • Level Beginner
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

Course Brochure

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Certification

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

AI for Healthcare

Course Code: C1018
  • HRDF

6 Review(s) | Add Your Review

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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 2,200.00 Before GST
GST 198.00 9% of fee
Baseline Nett 1,298.00 SG/PR age 21+ · 50% funded
MCES / SME Nett 858.00 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

MYR2,200.00

Course Date

Course Time

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.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

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

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

Review

Customer Reviews (6)

Hands-on and practical Review by Course Participant/Trainee
1. Do you find the course meet your expectation?
2. Do you find the trainer knowledgeable in this subject?
3. How do you find the training environment
The trainer was knowledgeable and explained the concepts clearly with real-world examples. (Posted on 18/02/2024)

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