📚 Syllabus & Course Curriculum
Nanotechnology & Materials Science
Module-by-module breakdown of ML for Ocean Health: Monitoring Marine Ecosystems with AI, from foundations to a certified capstone project.
Outline
Develop coral health classification pipelines using hybrid CNN‑SVM models. • Implement real‑time fish species identification and counting with YOLOv10. • Analyze acoustic soundscapes via spectrogram‑based deep learning to separate biophony from anthropophony.
Outline
Fuse SAR and optical satellite data to detect oil spills and chemical runoff. • Forecast harmful algal blooms with LSTM models using SST and chlorophyll‑a. • Segment mangrove and seagrass habitats to quantify blue‑carbon sequestration.
Outline
Design reinforcement‑learning agents to optimize Marine Protected Area boundaries. • Detect illegal fishing activities using AIS trajectory analysis. • Apply XAI (SHAP) to explain priority zones for coastal restoration.
Earn government-registered certification in ML for Ocean Health: Monitoring Marine Ecosystems with AI
e-Certificate and e-Marksheet issued on successful completion.
