| Attribute | Detail |
|---|---|
| Format | Recorded Lectures |
| Level | Intermediate |
| Duration | 3 Days (1.5 Hours Per Day) |
| Certification | e-Certification + e-Marksheet |
| Fee | Free |
| Tools | OpenAI Playground Flowise BigML MindsDB Julius AI Giskard Vellum Airtable |
About the Operational Technology 2.0: Integrating AI Co-Pilots, Predictive Analytics, and Live Governance Course
Explore the next generation of Operational Technology (OT 2.0) where AI co‑pilots support predictive maintenance, anomaly detection, and live governance of industrial processes.
Participants gain hands‑on experience with real‑time monitoring, analytics dashboards, and AI‑assisted decision workflows to optimize performance and compliance.
Program Highlights
• Comprehensive coverage of Operational Technology 2.0 from fundamentals to advanced applications
• Hands-on projects and real-world case studies in AI
• Expert-curated curriculum aligned with current industry standards
• Access to recorded lectures and e-LMS platform for flexible, self-paced learning
• e-Certification and e-Marksheet upon successful completion
• Dedicated mentor support and interactive doubt-clearing sessions
• Practical experience with tools: OpenAI Playground, Flowise, BigML, MindsDB
• Career-oriented training for academic and professional growth in AI
Course Curriculum
Module 1: Day 1 – AI Co‑Pilot & Prompt Architecture
- 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
Module 2: Day 2 – No‑Code Machine Learning for Predictive Maintenance
- 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
Module 3: Day 3 – AI Governance, Risk & Stress‑Testing
- 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
Tools, Techniques, or Platforms Covered
OpenAI Playground Flowise BigML MindsDB Julius AI Giskard Vellum Airtable
Real-World Applications
- Apply Operational Technology 2.0 skills directly to academic research, thesis work, and publications
- Build a professional portfolio showcasing practical AI competencies
- Solve industry-relevant problems using Operational Technology 2.0 methodologies and tools
- Contribute to open-source projects and collaborative research in AI
- Prepare for competitive examinations, interviews, and professional certifications in AI
Who Should Attend & Prerequisites
- Industry‑recognized e‑Certification + e‑Marksheet from NSTC
- Hands‑on training with practical projects and industrial datasets
- Dedicated expert mentorship and doubt resolution
Certification
