Artificial Intelligence in Healthcare
Programme Overview
Explore machine learning, deep learning, NLP and computer vision applied to clinical and healthcare use cases.
This programme covers the core pillars of artificial intelligence — machine learning, deep learning, NLP, and computer vision — with a dedicated focus on clinical and healthcare applications. Learners develop an understanding of responsible AI and deployment fundamentals.
Curriculum Learning Areas
Detailed Curriculum Modules
4 Structured Phases • Hands-on Labs IncludedTarget Career Outcomes
Graduates of this track are actively qualified for the following industry positions:
Frequently Asked Questions
Basic programming knowledge is preferred. If you are new to coding, you can complete a foundation module before starting.
You will work on clinical use cases including medical imaging concepts, clinical NLP, and responsible AI in healthcare.
Complementary Technology & Healthcare Programmes
Discover interconnected pathways in clinical analytics, AI, and medical coding aligned with your career goals.
Generative AI & LLM Applications for Healthcare
- 6–10 Weeks • Intensive
- Prompt Engineering, LLMs & RAG
- Automated EHR notes & triage agents
Machine Learning & MLOps Foundation
- 3–5 Months • Engineering
- Supervised & Unsupervised ML
- Model deployment & monitoring pipelines
