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AI Decision Making in Biotech

Learn how AI and data-driven methods support key decisions in biotech, from target selection and experiment design to clinical trial planning, portfolio strategy, and responsible use of AI.

All Levels 2 Months 3 Lessons 3 Learners English
3Learning items
2 MonthsCourse duration
3Active learners
80%Completion rule
COURSE OVERVIEW

About this course

Everything you need to understand the course before you begin.

Week 1: Biotechnology Foundations + Research Methods

  1. Day 01: Introduction to Biotechnology Case Studies – Reading Research Papers and Patents
  2. Day 02: Core Biotechnology Domains – Pharmaceutical, Agricultural, Industrial, and Medical Biotechnology
  3. Day 03: Case Study Analysis Tools – SWOT, PESTEL, and Value Chain Analysis in Biotechnology
  4. Day 04: Case Study 1: Insulin Production – From Animal-Derived Insulin to Recombinant DNA Technology
  5. Day 05: Technology Behind Insulin Production – Recombinant DNA, E. coli Expression Systems, and Fermentation

Week 2: Medical Biotechnology Case Studies

  1. Day 06: Regulatory Perspectives – FDA Approval Processes and Biosafety Considerations
  2. Day 07: Hands-on: Prepare a One-Page Case Summary and Timeline of Insulin Development
  3. Day 08: Case Study 2: mRNA Vaccines – COVID-19, BioNTech, and Moderna
  4. Day 09: Technology Behind mRNA Vaccines – mRNA Platforms, Lipid Nanoparticles, and Cold-Chain Requirements
  5. Day 10: Case Study 3: Monoclonal Antibodies – Herceptin and Humira

Week 3: Advanced Medical Biotechnology + Gene Editing

  1. Day 11: Technology Behind Monoclonal Antibodies – Hybridoma Technology, Phage Display, and CHO Cells
  2. Day 12: Case Study 4: CRISPR Therapeutics – Sickle Cell Disease and Regulatory Milestones
  3. Day 13: Gene Editing Technology and Ethics – CRISPR, Off-Target Effects, and Germline Editing Debate
  4. Day 14: Hands-on: Compare Drug Development Timelines, Costs, and Technologies
  5. Day 15: Case Study 5: Bt Cotton in India – Adoption, Yield Impact, and Controversies

Week 4: Agricultural + Industrial Biotechnology Case Studies

  1. Day 16: Technology Behind Bt Cotton – Bt Genes, Agrobacterium-Mediated Transformation, and Biosafety Testing
  2. Day 17: Case Study 6: Golden Rice – Vitamin A Enhancement, GMO Debate, and Humanitarian Applications
  3. Day 18: Case Study 7: Industrial Enzymes – Detergents, Biofuels, and Amylase Production
  4. Day 19: Industrial Biotechnology Techniques – Directed Evolution and Fermentation Scale-Up
  5. Day 20: Case Study 8: Bioplastics – PLA Production from Corn and NatureWorks Business Model

Week 5: Biotechnology Business Models + Industry Analysis

  1. Day 21: Hands-on: Prepare a GMO Debate – Advantages, Limitations, and Evidence-Based Arguments
  2. Day 22: Case Study 9: 23andMe – Direct-to-Consumer Genomics and Data Privacy Issues
  3. Day 23: Case Study 10: Illumina – Next-Generation Sequencing and Market Strategy
  4. Day 24: Case Study 11: Ginkgo Bioworks – Synthetic Biology and Platform-Based Business Models
  5. Day 25: Case Study 12: Theranos – Scientific Failures, Ethical Issues, and Lessons for Biotechnology

Week 6: Intellectual Property + Funding + Capstone

  1. Day 26: Intellectual Property and Patents in Biotechnology – CRISPR Patent Disputes
  2. Day 27: Biotechnology Funding Models – Venture Capital, Research Grants, and IPOs
  3. Day 28: Capstone Project: Select a Biotechnology Case and Prepare a Five-Slide Analysis Covering Problem, Technology, Business, and Impact
  4. Day 29: Peer Review, Feedback, and Improvement of Case Studies
  5. Day 30: Final Case Study Presentation and Discussion of Five Emerging Biotechnology Trends
COURSE CURRICULUM

What you will learn

Explore the complete learning path, section by section.

1Sections 3Lessons
01 Design Foundations 3 lessons
01
What Makes Good UI? Youtube
Preview 14 min
02
User Research Basics Text
03
UI Fundamentals Quiz Quiz