About Workshop
The "AI for Autonomous Industrial Systems and Process Optimization" workshop explores the integration of artificial intelligence in enhancing automation, optimizing industrial processes, and driving efficiency across manufacturing and production systems. Through hands-on sessions and expert-led discussions, participants will gain practical insights into deploying AI technologies for predictive maintenance, process control, and system optimization in real-world industrial applications.
Aim
What Participants Will Learn
- Provide an understanding of AI technologies in industrial automation.
- Demonstrate the application of AI in predictive maintenance and process optimization.
- Equip participants with hands-on experience in deploying AI solutions in industrial settings.
- Explore strategies for improving system efficiency and decision-making through AI integration.
Structure
⚙️ Day 1: Industrial Data & Problem Understanding
Understand industrial systems + data
- What are autonomous industrial systems (simple explanation)
- Types of industrial data:
- Sensor data
- Machine logs
- Process parameters
Hands-on:
- Load industrial dataset (CSV/time-series)
- Data cleaning & preprocessing
- Feature understanding
🤖 Day 2: AI for Optimization & Fault Detection
Build ML models
- Predictive maintenance basics
- Regression + classification models
Hands-on:
- Fault detection model (classification)
- Efficiency prediction model (regression)
📊 Day 3: Optimization + Insights + Decision System
Turn model into decision tool
- Model interpretation
- Optimization logic (basic)
- Decision-making systems
Hands-on:
- Feature importance
- Scenario testing
- Create simple decision dashboard (plots)
Final Output:
- Model + insights + optimization suggestions
- Industry-ready mini case study
🧰 Tools
- Python (Colab)
- Pandas, Scikit-learn
- Excel (optional quick analysis)
Important Dates
Registration Ends
4:00 PM IST
Workshop Dates
2026-04-30
05:30PM IST
05:30PM IST
What You Will Gain
Outcomes
- Enhanced understanding of AI technologies and their role in industrial automation.
- Practical knowledge in implementing AI-driven predictive maintenance and process optimization.
- Ability to deploy AI solutions to improve efficiency, reduce downtime, and optimize resource management in industrial systems.
- Improved decision-making skills through the integration of AI for system control and optimization.