Course Highlights & Key Information

Everything you need to know about the AI in Health Sciences Certificate Program

Eligibility Criteria

Bachelor’s (NHEQF Level 5.5) in Computer Science, Information Technology, Engineering, Mathematics, Statistics, or Life Sciences/Healthcare fields such as MBBS, Nursing, and Pharmacy.

Basic Maths proficiency is recommended.

Faculty and scientists working in this domain are also welcome.

Required Disciplines:

Computer Science / Information Technology

Engineering

Mathematics / Statistics

Life Sciences / Healthcare

Biotechnology / Bioinformatics

Medicine (MBBS), Nursing, or Pharmacy

Course Applicability

This course is highly applicable to students and professionals seeking to bridge computational techniques with real-world health challenges.

Discount offer: Currently enrolled students of the University of Delhi are eligible for a 25% discount, subject to verification of active enrollment.

Healthcare Focus

Diagnostics, prognosis, imaging, drug discovery, and clinical NLP

Multi-Source Data

EHR, medical images, genomic profiles, and clinical text

AI Frameworks

State-of-the-art tools, deep learning models, and bioinformatics

Interdisciplinary

Suitable for Computer Science, Engineering, Life Sciences, Medicine

Ethical Focus

Ethical, regulatory, and societal considerations

Course Learning Outcomes

On completing this course, students will be able to:

Identify and describe role, opportunities, and limitations of AI in various healthcare applications

Acquire, preprocess, and integrate multi-source healthcare data

Apply machine learning and deep learning techniques for medical datasets

Develop and evaluate medical AI models using Scikit-learn, TensorFlow, PyTorch

Design end-to-end pipelines for medical image analysis using CNNs and U-Net

Use AI tools in bioinformatics for biomarker and pathway analysis

Implement NLP pipelines for EHR mining and clinical decision support

Assess AI models for ethical compliance, explainability, and fairness

Analyze legal, regulatory, and societal implications of AI in healthcare

Collaborate effectively across medical and computational disciplines

Course Schedule

Weekly Schedule

2-hour class on Saturday (afternoon)

2-hour class on Sunday (morning)

Duration

15 weeks comprehensive program

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