Build autonomous, self-optimising industrial systems with AI.
Nanotechnology & Materials Science
Module-by-module breakdown of AI for Autonomous Industrial Systems and Process Optimization, from foundations to a certified capstone project.
Outline
Identify autonomous industrial systems and their data sources • Load and clean real‑world sensor, log, and process datasets • Explore feature characteristics for downstream modeling
Outline
Build classification models for fault detection • Develop regression models to predict process efficiency • Validate model performance on industrial benchmarks
Outline
Interpret model outputs and extract feature importance • Apply basic optimization logic to generate actionable suggestions • Create a simple decision‑support dashboard for scenario testing
e-Certificate and e-Marksheet issued on successful completion.