Course Prerequisites:
Basic understanding of pharmaceutical sciences or healthcare management.
Familiarity with foundational concepts in biology, chemistry, and data analysis.
Interest in applying AI tools practically, without requiring programming skills.
Modules:
Module 1: AI Foundations for Pharma
1.1 AI and Machine Learning Basics
1.2 AI Algorithms and Models
Module 2: AI in Drug Discovery and Development
2.1 AI in Molecular Drug Design
2.2 AI in Drug Repurposing
Module 3: Clinical Trials Optimization with AI
3.1 AI-Enhanced Patient Recruitment
3.2 Clinical Data Management and Monitoring
Module 4: Precision Medicine and Genomics
4.1 Personalized Treatment Strategies
4.2 Biomarker Discovery
Module 5: Regulatory and Ethical AI in Pharma
5.1 Ethical Considerations and AI Governance
5.2 AI Compliance and Regulatory Frameworks
Module 6: Implementing AI in Pharma Projects
6.1 AI Project Management
6.2 Evaluating AI Tools and ROI
Module 7: Future Trends and Sustainability in Pharma AI
7.1 Emerging AI Technologies in Pharma
7.2 AI for Sustainable Healthcare
Module 8: Capstone Project
Project Overview