AI in Biotechnology (Online Certification Course)

23–26 April 2026 | 6:00 PM IST | Online| Certificate

About the Course

This 4-day online certification course focuses on the application of AI in biotechnology, covering key domains such as genomics, proteomics, and multi-omics data analysis. Participants will gain hands-on exposure to tools like AlphaFold, KNIME, Cytoscape, and IEDB, along with insights into emerging fields like synthetic biology and genome editing.

What You Will Learn

• Applications of AI in drug discovery and vaccine design

• Basics of genomics, proteomics, and multi-omics analysis

• AI-based tools and platforms (AlphaFold, KNIME, Cytoscape, IEDB)

• Data-driven approaches in biological research

• Case studies in real-world biotech applications

• Future trends in synthetic biology and genome editing

Course Features

• Live and interactive online sessions

• Certificate of completion

• Access to session recordings

• Lecture PPTs and study materials

• Hands-on demonstration of tools

• Doubt-clearing and discussion sessions

Learning Outcomes

• Understand AI-driven approaches in biological research

• Use bioinformatics and AI tools for data analysis

• Analyze omics datasets with modern techniques

• Explore applications of AI in healthcare and biotech

• Stay updated with future trends in AI-driven biology
  

Who Can Join

• Undergraduate and postgraduate students (Life Sciences, Biotechnology, etc.)

• Research scholars and PhD aspirants

• Faculty members and academicians

• Professionals from biotech, healthcare, and IT sectors

• Anyone interested in AI in biology (no prior AI experience required)

Course Fee

Indian Participants: ₹999 INR
International Participants: 55 USD

Course Module

Day 1: Introduction to AI in Biotechnology

• Overview of Artificial Intelligence in Life Sciences

• Applications of AI in Biotechnology

• Introduction to genomics, proteomics, and multi-omics data

• Case studies in AI-driven biological research

Day 2: AI in Drug Discovery & Vaccine Design

• Role of AI in drug discovery pipelines

• Target identification and validation

• AI approaches in vaccine design

• Real-world applications and examples

Day 3: Tools & Technologies in AI-Biotech

• Introduction to key tools: AlphaFold, KNIME, Cytoscape, IEDB

• Hands-on demonstration of tools and databases

• Data analysis workflows in biotechnology

• Integration of AI tools in research

Day 4: Advanced Applications & Future Trends

• Synthetic biology and genome editing

• AI in personalized medicine

• Emerging trends in biotech and healthcare

• Final discussion, Q&A, and future career pathways