• AI fundamentals tailored for utility operations
• Machine Learning applications in load & demand forecasting
• Predictive maintenance for transformers, pumps & grids
• AI in smart grids & smart water networks
• AI-driven leak detection & loss reduction
• Energy optimization & efficiency analytics
• AI for outage prediction & fault detection
• Cybersecurity considerations in AI-enabled utilities

By the end of this course, participants will be able to:

1. Understand fundamental AI concepts and terminology.
2. Identify AI applications relevant to electricity and water utilities.
3. Apply AI concepts to predictive maintenance and asset management.
4. Understand AI-driven load forecasting and network optimization.
5. Recognize the role of AI in smart grids and smart water systems.
6. Evaluate AI investment opportunities within utility operations.
7. Develop a roadmap for AI adoption in utility environments.

• Electrical & Power Engineers
• Water Treatment & Distribution Engineers
• Asset & Maintenance Managers
• SCADA & Control Engineers
• Operations Managers
• IT & Digital Transformation Teams in Utilities
• Utility Planning & Strategy Professionals

Day 1
AI Foundations for Utilities

• What is Artificial Intelligence?
• AI vs Machine Learning vs Deep Learning
• Data as the backbone of utility AI systems
• AI transformation in global utility sectors
• Overview of smart grids and smart water systems
• Group discussion: Current challenges in utilities

Day 2
AI in Electricity Operations

• Load and demand forecasting using AI
• Predictive maintenance for transformers & substations
• Fault detection in transmission & distribution networks
• AI in renewable energy integration
• Grid stability & optimization models
• Case study: AI in power outage prediction

Day 3
AI in Water & Wastewater Systems

• AI for water demand forecasting
• Leak detection and non-revenue water reduction
• Pump optimization & energy efficiency
• AI in desalination plants
• Water quality monitoring & anomaly detection
• Case study: Smart water network implementation

Day 4
Data, Cybersecurity & Operational Integration

• Utility data management fundamentals
• SCADA integration with AI systems
• Cybersecurity risks in AI-enabled infrastructure
• Regulatory and compliance considerations
• Building internal AI capabilities
• Workshop: Identifying AI opportunities in your utility

Day 5
Strategy, ROI & AI Roadmap for Utilities

• AI investment evaluation
• Measuring ROI in utility AI projects
• Change management for digital transformation
• Scaling AI solutions across departments
• Developing a 12-month AI implementation roadmap
• Final group presentation & feedback

CDGA attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration.