Artificial Intelligence (AI)
in Water Treatment
Harnessing AI for Smarter, More Efficient,
and Sustainable Water Treatment
19 – 23 May 2025
Sandton Centre, Johannesburg South Africa
Register Now! Limited Seats Available!
R19, 999.00 Per Delegate
Course overview:
Artificial Intelligence (AI) is revolutionizing the water treatment industry by enhancing efficiency, reducing costs, and improving water quality. This course provides an in-depth exploration of how AI technologies such as machine learning, predictive analytics, and IoT-enabled smart sensors are transforming water treatment processes.
Participants will gain hands-on knowledge of AI-driven solutions for real-time monitoring, predictive maintenance, and process optimization in water management. Through case studies and practical insights, this course will empower professionals to leverage AI for sustainable and efficient water treatment operations.
Course Objective
The primary objectives of this course are to:
- Provide an understanding of AI applications in water treatment.
- Equip participants with knowledge of AI-driven predictive analytics for water quality.
- Introduce AI-based optimization techniques for efficient water management.
- Demonstrate the integration of AI with SCADA and other water treatment systems.
- Enhance skills in using AI tools for data-driven decision-making in water treatment.
- Explore future trends and best practices for AI adoption in the water sector.
Who Should Attend?
This course is designed for:
- Water treatment plant operators and engineers
- SCADA system technicians and engineers
- Environmental and water quality professionals
- Utility managers and decision-makers in water management
- Data analysts and IT professionals in the water sector
- Researchers and consultants in water treatment
Course Outline:
Module 1: Introduction to AI in Water Treatment
- Overview of AI and Machine Learning
- Importance of AI in the Water Sector
- Current Challenges in Water Treatment
- Benefits and Limitations of AI in Water Management
Module 2: AI Applications in Water Treatment
- AI in Water Quality Monitoring
- Predictive Maintenance of Water Treatment Equipment
- AI for Leak Detection and Water Loss Prevention
- Smart Sensors and IoT in Water Treatment
- AI in Chemical Dosing and Process Optimization
Module 3: Data Analytics and AI Models
- Data Collection and Processing in Water Treatment
- Machine Learning Algorithms for Water Quality Prediction
- AI-Driven Decision Support Systems
- Case Studies on AI Implementation in Water Treatment
Module 4: AI and SCADA Integration
- Role of SCADA in Water Treatment
- AI-Enabled SCADA for Real-Time Monitoring
- Automation and Control in Water Treatment Plants
- Remote Monitoring and AI-Based Alerts
Module 5: AI for Sustainable Water Management
- AI for Water Resource Conservation
- AI in Wastewater Treatment and Reuse
- Climate Change and AI in Water Treatment
- Smart Water Management Strategies
Module 6: Ethical and Regulatory Considerations
- Ethical Use of AI in Water Treatment
- Regulatory Frameworks and Compliance
- Data Privacy and Cybersecurity in AI Applications
- Future Trends and Innovations in AI for Water Treatment
End of the workshop
IN HOUSE AND ONLINE TRAINING
While both In-House and Online training can present with cost-effectiveness and time-efficacy, there are some very specific differences between in-house courses and those based online.
The demand for additional courses by individuals or groups of people is increasing. Still, it depends entirely on the preferences of a person what type of training he or she wants to receive. Online courses and in-house training carry some similarities but they are considered to exhibit some very pivotal differences too. Despite that, both types of learning can be really beneficial for attendees.
For Registration and other Training arrangements,
contact us on the detail below.
SOUTH AFRICA : +27 11 057 6001
TANZANIA Cell: +255 769 688 544
WhatsApp +27 79 574 0389
info@bmktraining.co.za / www.bmktraining.com
