📚 Syllabus & Course Curriculum
Drug Discovery & Pharmaceutical Sciences
Module-by-module breakdown of AI in Drug Discovery: Introduction, from foundations to a certified capstone project.
Outline
What is Drug Discovery? • Role of AI in Pharmaceutical Research • Traditional vs AI-Driven Drug Discovery • Applications of AI in Life Sciences
Outline
Types of Data Used in Drug Discovery • Introduction to Genes, Proteins, Targets, and Compounds • Basic Idea of Molecular Properties • Importance of Data Quality in Drug Research
Outline
Target Identification and Validation Basics • Virtual Screening and Compound Selection • Predicting Drug-Like Properties • AI in Lead Optimization and Research Prioritization
Outline
Advantages of AI in Drug Discovery • Limitations of AI-Based Predictions • Data Privacy, Bias, and Reliability Concerns • Responsible Use of AI in Biomedical Research
Outline
AI in Precision Medicine and Personalized Treatment • Emerging Trends in AI-Driven Pharma Research • Career Opportunities in AI, Biotech, and Drug Discovery • Mini Learning Activity / Concept-Based Practice
Earn government-registered certification in AI in Drug Discovery: Introduction
e-Certificate and e-Marksheet issued on successful completion.
