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 Introduction to Metagenomics course is a free, beginner-friendly self-paced program designed to introduce learners to the field of metagenomics, which involves the study of genetic material recovered directly from environmental samples. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
The Introduction to Metagenomics course is a free, beginner-friendly self-paced program designed to introduce learners to the field of metagenomics, which involves the study of genetic material recovered directly from environmental samples.
📋 Course Objectives
1. Apply Artificial Intelligence methods to authentic research and industry problems.
2. Assemble a documented case study that evidences your applied capability.
👥 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
• A portfolio-grade Artificial Intelligence 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
Introduction to Metagenomics
What is Metagenomics? • Role of Metagenomics in Understanding Microbial Communities • Difference Between Metagenomics and Traditional Microbiology • Applications of Metagenomics in Research and Industry
Understanding Metagenomic Data
Types of Samples Used in Metagenomics (Soil, Water, Human Microbiome, etc.) • Sequencing Technologies Used in Metagenomics (16S rRNA, Shotgun Sequencing) • Data Formats and Databases (FASTQ, GenBank) • Challenges in Data Collection and Quality
Data Analysis in Metagenomics
Preprocessing Metagenomic Data • Microbial Community Profiling and Taxonomy Assignment • Functional Gene Annotation • Introduction to Metagenomic Software Tools (QIIME, Mothur)
Applications of Metagenomics
Microbial Diversity and Ecology • Human Microbiome and Health Applications • Metagenomics in Environmental Studies (Pollution, Bioremediation) • Metagenomics in Agriculture and Biotechnology
Future Scope and Learning Path
Emerging Technologies in Metagenomics • Role of AI and Machine Learning in Metagenomic Data Analysis • Career Opportunities in Metagenomics and Microbial Research • Mini Learning Activity / Concept-Based Practice
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Metagenomics |
| Covered Tool / Platform | Microbial Communities |
| Covered Tool / Platform | Genomic Data |
| Covered Tool / Platform | Microbial Taxonomy |
| Covered Tool / Platform | Data Analysis Software (QIIME, Mothur) |
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