Get updates on Eligibility, Admission, Placements Fees Structure
Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery | Frequency Of Classes |
|---|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based | Weekends |
Course Overview
AI for Healthcare certification is 2 months live online course that is jointly created by NUS Yong Loo Lin School of Medicine and Emeritus. This certificate course is the most ideal option for directors and CEOs of both companies that are associated with small, and medium enterprises. Also, another group of the intended audience is mid-to senior-level management and entrepreneurs of medium to small enterprises.
AI for Healthcare training will be suitable, and useful for finding out the impact of current, and emerging technologies of artificial intelligence that will include regulatory constraints, and global trends. This understanding can drive the decision-making process of patient care, and decision-making can improve the performance and profit-making capability of the companies. The learning journey of this certification is a one-week immersion programme followed by maintenance of weekly goals, doubt clarification status, live online sessions, real case studies, and assignments.
The Highlights
- Live online lectures
- 2 months programme
- 4-6 hours per week sessions
- Classes on Saturdays
- Certificate of Completion
Programme Offerings
- Online Course
- Live Lectures
- Saturday Sessions
- assignments
- Real-World Case Analysis Discussion Boards
- 8 Modules
- completion certificate
- Flexible payments
- Group Discounts
- LIVE Webinars
- Learning Management System
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Yong Loo Lin School of Medicine, Queenstown |
The AI for Healthcare certification fee by NUS Yong Loo Lin School of Medicine and Emeritus is 1,900 USD. If the students are not able to clear off the payment in one attempt, they may use 2 or 3 installments. Also, the Singapore residents enrolling here shall need to pay the extra applicable GST.
AI for Healthcare Fee Structure
Description | Amount in INR |
Programme Fee | 1,900 USD |
Eligibility Criteria
Work Experience
Professionals catering to both medical or non-medical fields can be accepted.
Certification Qualifying Details
All the participants will get AI for Healthcare certification by NUS Yong Loo Lin School of Medicine after successful completion.
What you will learn
With the AI for Healthcare certification syllabus, the candidates will be able to:
- All participants will learn to make a summary of the artificial intelligence-based plans for healthcare organisations.
- In healthcare workflows, the candidates will be able to explain the process of AI framework strategies implementation.
- AI can be used for treatment optimisation for personalised medicines, and populations.
- There is a particular data life cycle whose maintenance can be explained by the candidates.
- Artificial intelligence can impact the way in which the healthcare sector is operated, and patients are cared for, and this can be analysed by the participants.
- The basics of biomedical informatics can be explained by the students.
- The process of drug discovery, its implementation, and administration can be impacted by AI which shall be explained by the aspirants.
- The concepts and terminologies of AI can be understood and the students will be able to club it with deep learning for healthcare facilities.
Who it is for
Please see below to have an understanding of the ideal audience group:
- People like chairman, Associate Director, CIO, director, and senior director of pharmaceuticals, health care, information technology, medical devices, and other industries are relevant.
- Founder or co-founders belonging to the healthcare, pharmaceutical industries, and medical services.
- General manager, operations manager, marketing manager, product manager, account manager, and project manager of biotechnology, healthcare, medical devices, and ed-tech industries.
Admission Details
Here is the AI for Healthcare classes admission process:
Step 1: Visit the official site: https://programs.emeritus.org/nusmed-ai-for-healthcare/.
Step 2: Click on the ‘Download Brochure’ button to fill in some details.
Step 3: Next, click the 'Start Application Now’ button that will redirect to a registration page.
Step 4: Next, making new ones or logging in using a previous one is required on Emeritus.
Step 5: Finally after registration, the students follow more steps, and pay the fee for securing admission.
Application Details
All that has to be done is creating brand new accounts on Emeritus with basic simple details like email, and name. Then select the relevant course, fill in some details like the history of academics, professionals details, and details of making payment has to be done for application.
The Syllabus
- Biomedical informatics for solving problems
- Types of data
- Sources of data: healthcare system
- Relational data model
- Structured Query Language (SQL)
- Data interoperability
- Data repository
- Data privacy
- Data errors and measures to improve data quality
- Data transformation
- Data management
Introduction to terminologies
- Business intelligence
- Data mining
- Data analytics
- Artificial intelligence
- Machine learning/deep learning
- Big data
A brief modern history of AI
- Biological neuron
- Perceptron
- Activation function
- AI and gradient descent
- Convolution neural network for medical image understanding
- The Digital mammography dream challenge - problem, approach, results, mistakes, solution
- Challenges of drug discovery and development
- Innovations in drug discovery, development, and diagnostics
- AI in drug innovation continuum
- Bridging early discovery with commercialisation
- The evolution of technology in healthcare
- Rethinking drug development using AI
- Operationalising AI in healthcare
- Clinical AI Development Process
- Challenges in developing AI tools
- Architecture for AI development in clinical practice
- Production deployment in clinical AI
- Ethics and regulatory considerations of clinical AI
- AI implementation and success in Healthcare
Instructors
Yong Loo Lin School of Medicine, Queenstown Frequently Asked Questions (FAQ's)
The responses usually take 24 hours or less, and during weekends it may take nearly 72 hours.
The format is live online weekend lectures.
Installments of 2 or 3 are allowed for paying the full course fee.
The sessions are held during the Singapore timing of 2:30-5:00 PM.
The orientation session for this online AI for Healthcare certification is held in the first week.