Programme Parameters
Advanced Postgrad
4 Weeks (40 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
The Basics of SNPs and Genomic Variants course is a free, beginner-friendly self-paced program designed to introduce learners to the concepts of Single Nucleotide Polymorphisms (SNPs) and genomic variants, and how they impact genetic research, disease studies, and personalized medicine. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
The Basics of SNPs and Genomic Variants course is a free, beginner-friendly self-paced program designed to introduce learners to the concepts of Single Nucleotide Polymorphisms (SNPs) and genomic variants, and how they impact genetic research, disease studies, and personalized medicine.
📋 Course Objectives
1. Translate Artificial Intelligence theory into practical, reproducible analysis.
2. Build a defensible project you can showcase to supervisors, reviewers, or employers.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in Artificial Intelligence
• R&D engineers and working professionals applying Artificial Intelligence in industry
• Academics and educators building research or teaching capacity in Artificial Intelligence
🚀 Key Learning Outcomes
• Tangible, reproducible Artificial Intelligence work to show supervisors or employers.
• 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
Introduction to SNPs and Genomic Variants
What are SNPs (Single Nucleotide Polymorphisms)? • Types of Genomic Variants (SNPs, InDels, CNVs) • Role of Genetic Variants in Genomics • Applications in Medicine and Biotechnology
Understanding Genomic Variants
Types of Genetic Variants: SNPs, Insertions, Deletions, and Structural Variants • How Variants Affect Genes and Proteins • Understanding Mutations and Their Impact on Health • Genetic Variation in Populations
Identifying SNPs and Genomic Variants
Techniques for SNP Detection • Genomic Databases and Variant Repositories • Next-Generation Sequencing (NGS) and SNP Analysis • Tools for SNP Annotation and Interpretation
Applications of SNPs and Genomic Variants
Genomic Variants in Disease Research (Cancer, Genetic Disorders, etc.) • SNPs in Personalized Medicine and Pharmacogenomics • Genetic Markers for Disease Susceptibility • Genomic Variants in Agriculture and Biotechnology
Future Scope and Learning Path
Emerging Technologies in Variant Detection • Role of AI and Big Data in Genetic Studies • Career Opportunities in Genomics, Bioinformatics, and Medicine • Mini Learning Activity / Concept-Based Practice
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | SNPs (Single Nucleotide Polymorphisms) |
| Covered Tool / Platform | Genomic Variants |
| Covered Tool / Platform | Genomic Data |
| Covered Tool / Platform | Mutation Detection |
| Covered Tool / Platform | Next-Generation Sequencing (NGS) |
Frequently Asked Questions
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