📚 Syllabus & Course Curriculum
Immunology & Vaccine Development
Module-by-module breakdown of AI in Immunoinformatics and Vaccine Development, from foundations to a certified capstone project.
Immunology
• MHC class I and II pathways and the constraints they impose on epitopes
• HLA polymorphism and population coverage as a design requirement
• B-cell versus T-cell epitope distinctions that drive different methods
Prediction
• MHC binding prediction with NetMHCpan-class tools and their training bias
• Immunogenicity versus binding: why predicted binders often fail
• B-cell epitope prediction and its comparatively poor performance
Design
• Multi-epitope construct design, linkers and adjuvant selection
• Population coverage analysis across HLA distributions
• Structural validation and conformational epitope preservation
Safety
• Autoimmunity screening against the human proteome
• Allergenicity and toxicity prediction
• Antibody-dependent enhancement as a design consideration
Translation
• Experimental validation cascade and its expected attrition
• Manufacturing and platform choice, including mRNA and subunit routes
• Regulatory expectations for computationally designed candidates
Earn government-registered certification in AI in Immunoinformatics and Vaccine Development
e-Certificate and e-Marksheet issued on successful completion.
