Course Overview
Healthcare systems worldwide are under increasing pressure to deliver better patient outcomes, higher operational efficiency, cost control, and regulatory compliance, while managing growing data volumes and workforce shortages. Artificial Intelligence (AI) is emerging as a powerful enabler to support healthcare organisations across clinical support, operations, research, administration, and strategic planning.
Advances in Machine Learning, Large Language Models (LLMs), and Generative AI have expanded AI adoption beyond data scientists and clinicians. Today, healthcare professionals, administrators, analysts, and leaders can directly use AI tools to summarise medical literature, analyse operational data, improve patient communication, support reporting, and enhance decision-making.
This course provides a practical, business-focused introduction to AI for healthcare professionals. Participants will learn AI fundamentals, understand how AI technologies interconnect, and gain hands-on experience with leading AI tools such as ChatGPT, Gemini, Copilot, Perplexity, Grok, Claude, Manus, DeepSeek, Qwen, and NotebookLM. The emphasis is on responsible, ethical, and compliant use of AI, real healthcare use cases, and measurable productivity improvements, without involving medical diagnosis or requiring programming skills.
What are the skills covered
By the end of this course, participants will be able to:
- Understand core AI concepts and terminology relevant to healthcare
- Distinguish between AI, Machine Learning, Deep Learning, LLMs, and Generative AI
- Evaluate and select AI tools suitable for healthcare operations and research support
- Apply AI tools to healthcare reporting, analysis, communication, and documentation
- Use AI responsibly within ethical, privacy, and regulatory constraints
- Identify high-impact AI use cases across healthcare systems
- Contribute to AI adoption and digital transformation initiatives in healthcare organisations
Who should attend this course
This course is designed for working professionals in healthcare-related environments, including:
- Healthcare administrators and managers
- Hospital operations and quality teams
- Health information management professionals
- Public health and healthcare analysts
- Medical research and clinical support staff
- Health insurance and payer organisations
- Digital health and transformation teams
- Healthcare leaders and decision-makers
This course is not intended for clinical diagnosis or treatment decision-making. No prior AI or technical background is required.
Course Curriculum
Course Modules
Exam & Certification
This course is not associated with nay Certification.
