Group Discounts:
Save 10% when registering 3 or more participants
Save 15% when registering 10 or more participants
About the course:
Duration: 1 Full Day (8 Hours)
Delivery Mode: Classroom (In-Person)
Language: English
Credits: 8 PDUs / Training Hours
Certification: Course Completion Certificate
Refreshments: Lunch, Snacks and beverages will be provided during the session
Course Overview:
This 1 Day workshop introduces you to practical, beginner-to-intermediate applications of AI in real healthcare settings . You explore how artificial intelligence supports clinical decision-making, diagnostics, patient engagement, workflow automation, and administrative efficiency . The course highlights predictive analytics , natural language processing (NLP) , AI-driven risk scoring , automation in hospital operations , and ethical frameworks for safe adoption. Hands-on discussions and case examples make AI concepts simple, actionable, and directly relevant to hospitals, clinics, and digital health environments.
Learning Objectives:
By the end of this course, you will:
Understand key AI concepts and their healthcare relevance.
Recognize realistic AI applications across care settings.
Analyze how AI enhances decision support and diagnostics.
Identify opportunities for workflow automation and efficiency.
Apply predictive analytics insights to improve patient outcomes.
Evaluate ethical considerations and responsible AI use.
Understand how to begin AI adoption in healthcare environments.
Target Audience:
Healthcare professionals exploring AI applications
Hospital administrators & managers
Clinical quality & improvement teams
Health IT and digital health staff
Analysts, coordinators & operations teams
Anyone seeking beginner-to-intermediate AI knowledge
Why Choose This Course?
This training blends AI fundamentals with practical healthcare relevance —making it perfect for professionals with little or moderate experience in AI. The trainer brings insights from digital health, predictiv