Harness the power of Artificial Intelligence and Machine Learning to accelerate drug discovery, clinical trial management, and regulatory decision-making.
Artificial Intelligence is transforming the clinical research and healthcare industry at an unprecedented pace — enabling faster drug discovery, smarter patient recruitment, and more accurate clinical data analysis.
AI tools support automation of clinical trial processes, help researchers analyse large datasets and electronic health records, and enable better patient outcomes with faster regulatory approvals.
Faster drug discovery and patient recruitment through AI-driven workflows
Automation of clinical trial processes and data management
AI tools for predictive modeling, risk monitoring, and safety surveillance
Enables faster regulatory approvals and better patient outcomes
A 2-month intensive covering AI fundamentals through real-world clinical research applications
A focused, time-efficient programme designed to introduce AI applications specifically in clinical research and pharma.
Covers core concepts of Artificial Intelligence and Machine Learning as applied to pharmaceutical and healthcare settings.
Understanding how AI enhances clinical trial design, patient recruitment, and overall trial management processes.
Training on clinical data analysis and interpretation using modern AI tools, including EHR and large dataset analysis.
Introduction to RWD and RWE concepts, and how AI leverages real-world information for predictive analytics and decision support.
Understanding AI-driven approaches to drug safety surveillance, signal detection, and adverse event monitoring.
Practical learning through real-world case studies demonstrating AI applications across clinical research sectors.
Guidance on the evolving global regulatory landscape governing the use of AI tools in healthcare and clinical research.
Core topics covered across the programme
AI & ML Basics
Fundamentals of Artificial Intelligence & Machine Learning
AI in Drug Discovery
Accelerating compound identification and development
Clinical Trial Design
AI-enhanced trial design and protocol optimisation
Patient Recruitment
Smart matching and faster patient enrolment
Clinical Data Management
AI-driven data collection, cleaning, and management
AI in Pharmacovigilance
Automated signal detection and safety monitoring
Real-World Data
RWD, RWE, and predictive analytics applications
Predictive Analytics
Forecasting outcomes and risk-based monitoring
What you will achieve upon completion
Understand AI in Modern Research
Grasp how AI supports and transforms modern clinical research workflows.
Practical AI Tool Knowledge
Gain hands-on knowledge of AI tools and applications used in the clinical research industry.
Improved Career Opportunities
Enhance career prospects in pharma, CROs, and healthcare technology sectors.
Roles you can pursue with AI knowledge in clinical research
Clinical Research Associate
CRA with AI knowledge
Clinical Data Analyst
Data analysis & insights
AI Healthcare Analyst
AI-driven healthcare insights
Clinical Data Management Specialist
AI-powered data management
Pharmacovigilance Associate
AI-assisted safety monitoring
Graduates and Post-Graduates in Medical and Healthcare fields are eligible:
Programme Duration
2 Months Intensive
Full time / Part time · Online Live Classes
Programmes Available
PG Diploma · Executive Diploma · Professional Certification
Programme Fee
Full Time / Part Time · Online Live Classes
or $598 USD