Programme Parameters
Advanced Postgrad
3 Days (4.5 Hrs)
Online (e-LMS)
• Prior working knowledge of the field and comfort with core tools and quantitative reasoning.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
This 3-day live virtual course bridges the gap between immunoinformatics and artificial intelligence, focusing on intelligent prediction and validation of B-cell and T-cell epitopes for vaccine development. Across 4 Weeks, you will work hands-on with intelligent prediction and validation of B-cell, then consolidate everything in a capstone project. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
This 3-day live virtual course bridges the gap between immunoinformatics and artificial intelligence, focusing on intelligent prediction and validation of B-cell and T-cell epitopes for vaccine development.
📋 Course Objectives
1. Master the fundamentals of intelligent prediction.
2. Get comfortable working with validation of B-cell.
3. Put biotechnology techniques to work on real datasets and case studies.
4. Produce a reproducible, portfolio-ready project you can cite in a thesis, paper, or job application.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in biotechnology
• R&D engineers and working professionals applying biotechnology in industry
• Academics and educators building research or teaching capacity in biotechnology
• Data and computational scientists moving into intelligent prediction
🚀 Key Learning Outcomes
• Confidence to implement intelligent prediction in real projects.
• Confidence to reason about validation of B-cell in real projects.
• A portfolio-grade biotechnology deliverable you can defend and extend.
• A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.
💎 What You'll Gain
Live & Recorded Sessions
Lifetime access to class recordingse-Certificate on Completion
Cryptographically verified credentialPost-Programme Support
Direct access to mentors & councilHands-On Experience
Notebooks, real-world code & datasetsCurriculum Outline
Fundamentals of Epitope Prediction & Neoantigen Biology
Introducing vaccinology and immunoinformatics • Exploring epitopes: B-cell vs. T-cell • Understanding neoantigens and personalized vaccines
AI and ML in Epitope Prediction
Applying machine learning for epitope prediction • Utilizing deep learning models for antigenicity and MHC binding • Exploring tools like DeepVacPred, NetMHCpan, and DeepImmuno
Vaccine Design and In Silico Validation
Constructing multi-epitope vaccines with linkers and adjuvants • Predicting population coverage and allergenicity • Validating vaccine designs using in silico tools
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | IEDB |
| Covered Tool / Platform | NetMHC |
| Covered Tool / Platform | VaxiJen |
| Covered Tool / Platform | DeepVacPred |
| Covered Tool / Platform | NetMHCpan |
| Covered Tool / Platform | DeepImmuno |
| Covered Tool / Platform | ABCpred |
Frequently Asked Questions
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