Frederick Training and Certification Center is organising a 2-day seminar on "Harnessing Artificial Intelligence (AI) and the Internet of Things (IoT) for Sustainable Environments and Smart Operations Management". 

This training program is designed for senior executives, decision-makers, and directors in critical roles including Chief Technology Officers (CTOs), Chief Innovation Officers (CIOs), Directors of Business Operations and/or Strategic Planning, as well as Directors of Sustainable Development. It also targets senior officials responsible for digital transformation, smart city initiatives, and environmental compliance within their organizations.

Overall, the program is suitable for leaders who aim to harness Artificial Intelligence and the Internet of Things technologies to advance sustainable development and achieve operational excellence in their organizations.

Dates: May 6 & 8, 2025

Time: 8:30 AM – 4:45 PM

Location: Frederick University, Nicosia

Instructor: Dr. Ryan Costadinos Grammenos

Duration: 14 hours training + 4 hours private consultation

100% Subsidized by ANAD (Human Resource Development Authority)

In this forward-thinking seminar, you will discover how to:
- Lead sustainability transformation
- Build ESG data strategies
- Cut costs with smart maintenance
- Align with SDGs & EU Directives
- Use real tools, real data, real results

Featured Speaker:

Dr. Ryan Costadinos Grammenos, a Senior Consultant, Project Manager, and UCL Visiting Academic with over 15 years of expertise in ESG-focused tech, IoT and sustainability innovation.
This is not a theoretical discussion — it's a hands-on, practical experience designed for decision-makers ready to drive change.

Programme Outline

Day 1

Introduction to AI and IoT for Sustainable Environments

Defining the three pillars of the training programme: Artificial Intelligence (AI), the Internet of Things (IoT), and Sustainable Environments.
Supporting sustainable development goals (SDGs) through the transformative potential of AI and IoT
Fundamentals of Indoor Environmental Quality (IEQ) and why it matters to organisations
Linking technological solutions to ESG and Corporate Social Responsibility (CSR)

Core Technologies and Tools for Smart Operations Management

Novel uses of machine learning, data analytics, and IoT networks
Practical Tools and Techniques: Overview of IoT sensors, data visualisation techniques, and AI algorithms.
Strategic Considerations: Aligning AI and IoT initiatives with broader organisational and operational goals

Real-Time Monitoring and Predictive Analytics

Innovative methods and systems for real-time data collection, processing, and analysis for actionable intelligence
Industry Applications: Examples of predictive maintenance and proactive risk management

Data-Driven Decision Making for Operational Excellence

Planning and Implementation: Steps to integrate data-driven decision-support techniques into an organisation
Benefits and Limitations: Understanding the scope and constraints of AI-powered and IoT-powered support tools for data-driven decision making

Day 2

Sustainable Building Management through AI and IoT

The concept of smart, sustainable buildings and their benefits
Novel techniques for monitoring and analysing Indoor Environmental Quality (IEQ) superseding conventional building management systems
Balancing energy efficiency, occupant comfort, and operational costs

Case study: Smart Water Management

Use of AI and IoT in water networks
Digital twins for water quality monitoring and personalised decision support using complex data
Utilising AI analytics to implement what-if scenarios in water system operations in organisations

Implementing AI and IoT - Strategies for Organisational Transformation

Roadmap for integrating AI and IoT into existing business operations
Addressing resistance to change and skill gaps
Change management and employee upskilling for AI and IoT adoption

Future Trends and Ethical Considerations in AI and IoT

Next-generation AI and IoT applications and their role in the new industrial revolution
Privacy, transparency, and responsible use of AI and IoT technologies

Download the Seminar Brochure.

Seats are limited. Secure your place now.

Registration for the seminar must be completed through the ERMIS system. Program Number: 399785

Express Your Interest HERE