Programme Parameters
Graduate / Intermediate
3 Days (4.5 Hrs)
Online (e-LMS)
• A basic understanding of the subject area and fundamental programming or scientific concepts.
• A laptop or desktop with a stable internet connection.
• Willingness to complete assignments and the capstone project.
About This Course
The AI‑Powered Pest Control course explores how artificial intelligence transforms insect immunology into sustainable pest‑management solutions. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
The AI‑Powered Pest Control course explores how artificial intelligence transforms insect immunology into sustainable pest‑management solutions.
📋 Course Objectives
1. Put biotechnology 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 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
Biological Foundations
• Innate immune pathways in insects: Toll, Imd and melanisation
• Microbiome contribution to host defence and pesticide tolerance
• How immune understanding opens biological control targets
Biological Control Agents
• Entomopathogenic fungi, bacteria and viruses as control agents
• RNAi-based approaches and delivery challenges in the field
• Specificity testing to protect non-target and beneficial insects
Modelling Pest and Host Interaction
• Predicting susceptibility and resistance development
• Transcriptomic response profiling after biocontrol exposure
• Dose-response modelling and field efficacy estimation
Field Application
• Formulation, viability and environmental persistence of biological agents
• Timing applications to pest life stage using monitoring data
• Integration with cultural and chemical controls under IPM
Safety and Regulation
• Environmental risk assessment for biological control releases
• Regulatory approval pathways for biopesticides
• Long-term monitoring for resistance and ecological side effects
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 |
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