📚 Syllabus & Course Curriculum
Data Science & Analytics
Module-by-module breakdown of Operational Technology 2.0: Integrating AI Co-Pilots, Predictive Analytics, and Live Governance, from foundations to a certified capstone project.
Outline
Understand foundations of LLMs for OT • Query telemetry data and parse error logs in OpenAI Playground • Design role‑based and few‑shot prompts • Build a custom troubleshooting bot using Flowise/OpenAI GPTs
Outline
Compare supervised vs. unsupervised learning for asset management • Train a failure classification model with BigML/MindsDB • Interpret confusion matrices, accuracy, and false‑positive rates • Run predictive regressions on energy and supply‑chain costs via Julius AI
Outline
Evaluate data sovereignty for public vs. hybrid AI deployments • Conduct prompt injection, red‑team, and vulnerability testing with Giskard/Vellum • Apply techniques for explainable automated decision‑making • Design Human‑in‑the‑Loop validation checkpoints
Earn government-registered certification in Operational Technology 2.0: Integrating AI Co-Pilots, Predictive Analytics, and Live Governance
e-Certificate and e-Marksheet issued on successful completion.
