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The program offers an in-depth exploration of the principles and practices underlying vaccine development. It covers the history of vaccines, the biological and immunological foundations of vaccination, modern techniques in vaccine design and production, and the challenges of bringing vaccines to market.
The program offers an in-depth exploration of the principles and practices underlying vaccine development. It covers the history of vaccines, the biological and immunological foundations of vaccination, modern techniques in vaccine design and production, and the challenges of bringing vaccines to market.
The primary aim of this program is to provide participants with a thorough understanding of the vaccine development process, including the scientific, regulatory, and logistical aspects. The program seeks to prepare the next generation of scientists, researchers, and professionals to contribute to the creation of new and improved vaccines, ultimately enhancing global health outcomes.
PhD in Computational Mechanics from MIT with 15+ years of experience in Industrial AI. Former Lead Data Scientist at Tesla and current advisor to Fortune 500 manufacturing firms.
Professional Certification Program
Week 1: Principles of Immunity in Vaccinology
Innate and adaptive immune responses
Antigen presentation and memory formation
Types of immunity: active, passive, herd
Week 2: Types and Platforms of Vaccines
Live attenuated, inactivated, subunit, toxoid, conjugate vaccines
Recombinant and DNA/RNA-based vaccines
Vector-based and peptide vaccines
Week 3: Antigen Discovery and Vaccine Design
Epitope mapping and reverse vaccinology
Use of AI in antigen prediction
Bioinformatics databases (IEDB, Vaxign)
Week 4: Adjuvants and Formulation Technologies
Common adjuvants: Alum, AS01, MF59, CpG
Role of nanotechnology in vaccine delivery
Stability, storage, and thermostability challenges
Week 5: Preclinical Testing and Model Systems
Animal models in immunogenicity and safety assessment
Immunoassays: ELISA, neutralization tests, cytokine profiling
Toxicology and biodistribution
Week 6: Clinical Trial Phases and Design
Phase I–IV vaccine trial structure
Placebo controls, blinding, and trial randomization
Trial endpoints: safety, efficacy, immunogenicity
Week 7: Global Regulatory Pathways
WHO prequalification and Emergency Use Authorization (EUA)
FDA, EMA, DCGI/CDSCO roles
Good Clinical Practice (GCP), GMP, and vaccine approval process
Week 8: Pharmacovigilance and Post-marketing Surveillance
AEFI monitoring and signal detection
Risk-benefit analysis and vaccine recall protocols
Reporting systems: VAERS, VigiBase, e-reporting platforms
Week 9: Ethical Considerations in Vaccine Development
Informed consent and community engagement
Testing in vulnerable populations
Ethics of placebo use and global access equity
Week 10: AI and Deep Tech in Vaccine R&D
Machine learning for epitope prediction and immune profiling
Computational vaccinology and predictive models
Blockchain and cloud systems in trial data management
Week 11: Novel Technologies and Global Case Studies
mRNA vaccines: Moderna, Pfizer platforms
Viral vector vaccines: AstraZeneca, J&J
Lessons from COVID-19 and emerging disease threats
Week 12: Future Prospects in Vaccine Innovation
Universal vaccines and pan-pathogen approaches
Personalized cancer vaccines
3D bioprinting, oral/mucosal vaccines, and synthetic biology
Standard Fee: INR 14,998 USD 258
Discounted Fee: INR 7499 USD 129
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