Course Title:
AI & Data Science in Pharma & Biotech

Course Duration:
18-20 Hours (Live & Self-paced Learning)

Course Overview:
This course explores how Artificial Intelligence (AI) and Data Science are transforming pharmaceutical and biotechnology industries. It covers machine learning, bioinformatics, drug discovery, clinical trials, and regulatory compliance. Participants will gain practical insights into AI-driven research, automation in drug development, and data-driven decision-making.

Course Modules & Breakdown
Module 1: Introduction to AI & Data Science in Life Sciences (2 Hours)

• Overview of AI, ML & Data Science
• Role of AI in Pharma & Biotech
• Key AI & ML Terminologies

Module 2: Data Science Foundations for Biotech & Pharma (3 Hours)

• Understanding Biological & Pharmaceutical Data
• Data Collection, Preprocessing & Cleaning
• Exploratory Data Analysis (EDA)
• Case Study: AI in Genomics

Module 3: AI in Drug Discovery & Development (4 Hours)

• How AI accelerates Drug Discovery
• Machine Learning for Drug Target Identification
• Deep Learning in Molecular Modeling
• AI-powered Virtual Screening & Docking

Module 4: AI in Clinical Trials & Precision Medicine (3 Hours)

• AI in Clinical Trial Design & Patient Recruitment
• Predictive Analytics for Personalized Medicine
• AI for Biomarker Discovery
• Case Study: AI in COVID-19 Vaccine Development

Module 5: Bioinformatics & AI Applications (2 Hours)

• AI in Genomic Data Analysis
• Predicting Protein Structures with AI
• AI in Metabolomics & Proteomics
• Hands-on: AI Tools in Bioinformatics

Module 6: Regulatory & Ethical Considerations in AI Adoption (2 Hours)

• Regulatory Challenges in AI-driven Drug Development
• Ethical Considerations in AI & Biotech
• AI’s Role in Compliance & Pharmacovigilance

Module 7: Future Trends & Industry Use Cases (2 Hours)

• AI in Pharma Supply Chain & Manufacturing
• AI-driven Disease Prediction Models
• AI Startups & Innovations in Biotech
• Career Opportunities in AI for Pharma & Biotech

Final Module: Hands-on Projects & Certification (2 Hours)

• Practical Project: AI Model for Drug Repurposing
• Data Science Case Study Analysis
• Final Assessment & Certification

Who Should Enroll?

1. Pharma & Biotech Students
2. Life Science & Bioinformatics Professionals
3. Clinical Researchers & Healthcare Analysts
4. Anyone interested in AI applications in Healthcare

Key Benefits of the Course:
✔️ Industry-oriented AI applications in Pharma & Biotech
✔️ Hands-on case studies & practical implementation
✔️ Certification upon completion
✔️ Career guidance in AI & Data Science for Life Sciences