Programme Parameters
Foundation
3 Days (4.5 Hrs)
Online (e-LMS)
• No prior experience required — basic computer literacy is sufficient.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
Synthetic biology enables the rational design of biological systems for applications in healthcare, agriculture, biofuels, and environmental sustainability. At the same time, microbiome engineering is emerging as a powerful frontier, where microbial communities are manipulated to improve human health, crop resilience, and ecosystem restoration. However, designing stable microbial consortia and engineering complex pathways requires handling large datasets, nonlinear interactions, and multi-scale biological complexity. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
Synthetic biology enables the rational design of biological systems for applications in healthcare, agriculture, biofuels, and environmental sustainability. At the same time, microbiome engineering is emerging as a powerful frontier, where microbial communities are manipulated to improve human health, crop resilience, and ecosystem restoration. However, designing stable microbial consortia and engineering complex pathways requires handling large datasets, nonlinear interactions, and multi-scale biological complexity.
📋 Course Objectives
1. Put biotechnology techniques to work on real datasets and case studies.
2. Produce a reproducible, portfolio-ready project you can cite in a thesis, paper, or job application.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in biotechnology
• R&D engineers and working professionals applying biotechnology in industry
• Academics and educators building research or teaching capacity in biotechnology
🚀 Key Learning Outcomes
• A portfolio-grade biotechnology 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
Genetic Part and Circuit Design
• Promoters, RBS, terminators and part characterisation with standard units
• Circuit topologies: switches, oscillators and logic gates
• Design-build-test-learn as an engineering cycle rather than a slogan
Learning Sequence-to-Function
• Models for promoter strength and expression prediction
• Protein engineering with sequence models and directed evolution data
• Codon optimisation and its frequently overstated benefits
Chassis and Metabolic Engineering
• Chassis selection and burden on host physiology
• Genome-scale models and flux balance analysis for pathway design
• Strain optimisation and adaptive laboratory evolution
Engineering the Microbiome
• Community composition, stability and invasion resistance
• Engineered consortia and division of metabolic labour
• Containment, biocontainment strategies and horizontal gene transfer risk
Biosafety and Responsible Practice
• Biosafety levels, institutional review and dual-use research of concern
• Regulatory frameworks for engineered organisms and environmental release
• Documentation, sharing standards and responsible publication
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | TensorFlow |
| Covered Tool / Platform | PyTorch |
| Covered Tool / Platform | Keras |
| Covered Tool / Platform | Scikit-learn |
| Covered Tool / Platform | Jupyter Notebook |
| Covered Tool / Platform | Google Colab |
| Covered Tool / Platform | Hugging Face |
Programme Faculty & Mentors
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