AI for Autonomous Industrial Systems and Process Optimization
Build AI Models to Optimize Industrial Processes, Detect Faults, and Improve Efficiency
About This Course
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
Workshop Objectives
- 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.
Workshop 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)
Who Should Enrol?
Important Dates
Registration Ends
April 30, 2026
IST 4:00 PM IST
Workshop Dates
April 30, 2026 – May 2, 2026
IST 05:30PM IST
Workshop 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.
Recording fee
Participants in India
₹2,499
Participants outside India
$50
- All session recordings
- Study material
- Certificate after completion
- 1-year access
The live sessions of this workshop are over, so the live fees no longer apply. The recordings are being uploaded. They appear in your dashboard as soon as they are ready, and we will e-mail you then.
Frequently asked questions
Will I get the recording?
Yes. Paid participants get the session recordings and study material in their NanoSchool dashboard (My registrations → Recorded Lectures / Study Material).
What if I miss a live session?
Watch the recording in your dashboard and send your questions to the mentor through the support desk.
Do I get a certificate?
Yes, an e-certificate of participation after the workshop, with a QR code anyone can verify and an "Add to LinkedIn" button.
Which fee category applies to me?
Choose the category that matches your current role: Student, Ph.D. Scholar / Researcher, Academician / Faculty or Industry Professional.
How can I pay?
By card, UPI or PayPal on the payment page; international bank transfer is also available there.
What is the refund policy?
See our Returns, Refunds & Cancellation policy: Returns, Refunds & Cancellation policy
Registration open
More upcoming workshops
Live, mentor-led and certified. Dates and times in IST.
Agentic AI Engineering: Planning, Tool Use & Multi-Agent Orchestration
- Dates
- 9–11 Nov 2026
- Time
- 5:30 PM IST
- Duration
- 3 Days
- Level
- Moderate
- Student₹2,499
- Ph.D. Scholar / Researcher₹3,499
- Academician / Faculty₹4,499
- Industry Professional₹5,499
Environmental Exposomics in R: PFAS, Chemical Mixtures and Metabolomics
- Dates
- 12–14 Nov 2026
- Time
- 5:30 PM IST
- Duration
- 3 Days
- Level
- Moderate
- Student₹2,499
- Ph.D. Scholar / Researcher₹3,499
- Academician / Faculty₹4,499
- Industry Professional₹6,499
Plant Metabolomics: Bioactive Compounds, Pathway Analysis & Stress Biomarkers
- Dates
- 12–14 Nov 2026
- Time
- 5:30 PM IST
- Duration
- 3 Days
- Level
- Moderate
- Student₹3,000
- Ph.D. Scholar / Researcher₹4,000
- Academician / Faculty₹5,000
- Industry Professional₹7,000
Digital Twins: Predictive Modeling for Dynamic Industrial Processes
- Dates
- 12–14 Nov 2026
- Time
- 5:30 PM IST
- Duration
- 3 Days
- Level
- Moderate
- Student₹2,499
- Ph.D. Scholar / Researcher₹3,499
- Academician / Faculty₹4,499
- Industry Professional₹6,499
Digital Fraud Forensics: Transaction Anomaly Detection, Phishing Threat Analysis & Machine Learning
- Dates
- 16–18 Nov 2026
- Time
- 7:30 PM IST
- Duration
- 3 Days
- Level
- Advanced
- Student₹2,999
- Ph.D. Scholar / Researcher₹3,999
- Academician / Faculty₹4,999
- Industry Professional₹6,999
AI-Driven Polymer Composites: Microstructure Analysis, Property Prediction & Inverse Design
- Dates
- 16–18 Nov 2026
- Time
- 5:30 PM IST
- Duration
- 3 Days
- Level
- Advanced
- Student₹2,999
- Ph.D. Scholar / Researcher₹3,999
- Academician / Faculty₹4,999
- Industry Professional₹5,999






