Programme Parameters
Advanced Postgrad
3 Days (4.5 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
Microplastics and nanoplastics have emerged as a major global environmental challenge affecting ecosystems, human health, and industrial systems. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
Microplastics and nanoplastics have emerged as a major global environmental challenge affecting ecosystems, human health, and industrial systems.
📋 Course Objectives
1. Put AI Enablement techniques to work on real datasets and case studies.
2. Build a defensible project you can showcase to supervisors, reviewers, or employers.
👥 Who Should Enroll?
• Master's and senior undergraduate students specializing in AI Enablement
• R&D engineers and working professionals applying AI Enablement in industry
• Academics and educators building research or teaching capacity in AI Enablement
🚀 Key Learning Outcomes
• A portfolio-grade AI Enablement 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
Precision Characterization & Analytical Workflows
Mastering the transition from environmental sampling to high-fidelity data • Leveraging Quantum Cascade Laser (QCL) and automated μ-Raman spectroscopy for sub-micron particle identification • Implementing ISO/TC 61/SC 14 standards for global inter-laboratory reproducibility
Ecotoxicology & The Human Health Frontier
Assessing biological risk through the lens of bio-accumulation and translocation • Utilizing Organ-on-a-Chip and 3D cell culture models to simulate MNP translocation across the human intestinal and blood-brain barriers • Modeling the long-range transport and deposition of “invisible” microplastics in urban and polar regions
Mitigation Engineering & Circular Economy Solutions
Engineering a plastic-neutral future through innovation and remediation • Designing for degradability—Polyhydroxyalkanoates (PHAs) and cellulose-based structural alternatives with zero-microplastic footprint • Assessing the commercial viability of PETase and microbial consortia for localized plastic waste neutralization
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Google Colab |
| Covered Tool / Platform | Quantum Cascade Laser (QCL) |
| Covered Tool / Platform | automated μ-Raman spectroscopy |
| Covered Tool / Platform | machine learning algorithms |
Programme Faculty & Mentors
Frequently Asked Questions
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