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DSTC-105978 Online (e-LMS) Advanced Postgrad

Microbial Bioinformatics: Basics

by - Dr. Aishwarya Arun Andhare

Master Microbial Bioinformatics: Basics in 4 weeks through hands-on, project-based online training with DSTC.

β˜…β˜…β˜…β˜…β˜… Be the first to review β€’ 4 Weeks Β· 40 hrs β€’ e-Certificate Included
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From β‚Ή200 + GST

Programme Parameters

Educational Level:
Advanced Postgrad
Duration & Workload:
4 Weeks (40 Hrs)
Delivery Mode:
Online (e-LMS)
Prerequisites:
β€’ Prior working knowledge of the field and comfort with core tools and quantitative reasoning.
β€’ A laptop or desktop with a stable internet connection.
β€’ Willingness to complete assignments and the capstone project.

About This Course

The Microbial Bioinformatics: Basics course is a free, beginner-friendly self-paced program designed to introduce learners to how computational methods are used to study microbial data. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.

🎯 Program Aim

The Microbial Bioinformatics: Basics course is a free, beginner-friendly self-paced program designed to introduce learners to how computational methods are used to study microbial data.

πŸ“‹ Course Objectives

1. Apply Artificial Intelligence methods to authentic research and industry problems.
2. Assemble a documented case study that evidences your applied capability.

πŸ‘₯ Who Should Enroll?

β€’ Master's and senior undergraduate students specializing in Artificial Intelligence
β€’ R&D engineers and working professionals applying Artificial Intelligence in industry
β€’ Academics and educators building research or teaching capacity in Artificial Intelligence

πŸš€ Key Learning Outcomes

β€’ A portfolio-grade Artificial Intelligence deliverable you can defend and extend.
β€’ A verified e-Certificate of competency and e-Marksheet from the Deep Science & Technology Consortium.

πŸ’Ž What You'll Gain

πŸŽ₯

Live & Recorded Sessions

Lifetime access to class recordings
πŸŽ“

e-Certificate on Completion

Cryptographically verified credential
πŸ’¬

Post-Programme Support

Direct access to mentors & council
πŸ’»

Hands-On Experience

Notebooks, real-world code & datasets

Curriculum Outline

Module 1 Outline

Introduction to Microbial Bioinformatics

What is Microbial Bioinformatics? β€’ Role of Bioinformatics in Microbiology β€’ Types of Microorganisms and Microbial Data β€’ Applications in Healthcare and Research

Module 2 Outline

Understanding Microbial Data

Microbial Genomes and Sequence Data β€’ Bacterial, Viral, and Fungal Data Basics β€’ Introduction to Microbiome Data β€’ Importance of Data Quality

Module 3 Outline

Basic Microbial Data Analysis

Sequence Comparison Basics β€’ Microbial Identification Concepts β€’ Introduction to Taxonomy and Classification β€’ Basic Interpretation of Microbial Data

Module 4 Outline

Applications of Microbial Bioinformatics

Infectious Disease Research β€’ Antimicrobial Resistance Studies β€’ Environmental and Agricultural Microbiology β€’ Biotechnology and Industrial Microbiology

Module 5 Outline

Future Scope and Learning Path

AI and Data Science in Microbial Research β€’ Emerging Trends in Microbiome Studies β€’ Career Opportunities in Microbiology and Bioinformatics β€’ Mini Learning Activity / Concept-Based Practice

Technical Specifications

ParameterRequirement
Covered Tool / PlatformMicrobial Bioinformatics
Covered Tool / PlatformMicrobial Genomes
Covered Tool / PlatformSequence Data
Covered Tool / PlatformMicrobiome Analysis
Covered Tool / PlatformMicrobial Classification

Programme Faculty & Mentors

A
Dr. Aishwarya Arun Andhare Research Fellow Parul University, Gujarat
πŸ”¬ Microbiology View Research Profile β†’

Frequently Asked Questions

Yes. This is a free online self-paced course designed for beginners.

No. The course focuses on beginner-level concepts and does not require coding experience.

You will learn microbial bioinformatics basics, including microbial genomes, sequence data, microbiome concepts, and real-world applications.

Students, beginners, microbiology learners, biotechnology learners, healthcare learners, and researchers can join.

Yes. Learners receive an e-Certification after completing the course.

Microbial bioinformatics uses computational methods to study microbial data such as genomes, sequence data, microbiome information, and microbial classification patterns.

Yes. This course is suitable for microbiology students who want to understand how bioinformatics concepts are used to analyze bacteria, viruses, fungi, and microbiome data.

The Microbial Bioinformatics: Basics course is designed as a 2–3 week online self-paced course.

Yes. The course introduces microbiome data basics and explains how microbial communities can be studied in health, environmental, and research contexts.

The course explains microbial genomes, sequence data, microbial identification, classification, microbiome concepts, and real-world applications in simple language without requiring programming knowledge. The Microbial Bioinformatics: Basics course provides a simple and structured introduction to analyzing microbial data using bioinformatics concepts. It is an ideal starting point for learners interested in microbiology, biotechnology, infectious disease research, environmental microbiology, and microbial genomics.

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The proforma invoice is emailed here as well as to you.
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