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
In this intensive 3‑day, hands‑on program you will learn to harness AI for marine ecosystem monitoring, resource management, and conservation. Every participant receives a verified e-Certificate and e-Marksheet from the Deep Science & Technology Consortium.
🎯 Program Aim
In this intensive 3‑day, hands‑on program you will learn to harness AI for marine ecosystem monitoring, resource management, and conservation.
📋 Course Objectives
1. Translate Artificial Intelligence theory into practical, reproducible analysis.
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 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 demonstrable Artificial Intelligence project for your research or industry portfolio.
• 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
Day 1 – AI Applications in Marine Ecosystem Monitoring & Resource Management
Explore AI use‑cases for biodiversity, coral reefs, and habitat monitoring • Analyze satellite and sensor data for ecosystem assessment • Preprocess marine datasets and run initial machine‑learning analyses
Day 2 – Machine Learning for Predicting Oceanic Patterns & Sustainable Fishing
Build neural‑network and time‑series models to forecast currents, temperature, and plankton blooms • Develop AI models to assess fish stocks and delineate sustainable fishing zones • Create a predictive model using real ocean data and evaluate its performance
Day 3 – Data Analytics for Managing Marine Conservation Areas
Apply AI to optimize management of Marine Protected Areas (MPAs) • Design decision‑support dashboards for policy makers • Build a full‑stack AI tool to monitor biodiversity, track sustainability metrics, and generate actionable insights
Technical Specifications
| Parameter | Requirement |
|---|---|
| Covered Tool / Platform | Python |
| Covered Tool / Platform | TensorFlow |
| Covered Tool / Platform | Keras |
| Covered Tool / Platform | Google Earth Engine |
| Covered Tool / Platform | Jupyter Notebook |
| Covered Tool / Platform | Satellite Imagery |
| Covered Tool / Platform | Oceanographic Sensors |
Frequently Asked Questions
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