Those who work in facilities management help the entire organization function by coordinating and developing the workplace to integrate people and their work. This can include new construction in a warehouse, better layout of an office, or ensuring safety regulations are met for the health of all employees.

This course is designed to include offerings from business, engineering, and health sciences specifically to appeal to those wishing to enter the field of facilities management or those currently in the field who want to upgrade or formalize their knowledge.

Why Choose this Training Course?

This course features how to establish, implement, manage and continually improve your facility department to get the best out of your facilities within the given boundaries of costs, performance and other important factors during its total lifetime.

This interesting course is designed to develop delegate’s skills in managing facility staff and corporate assets while minimizing risk exposure in the workplace. As the Facilities Management (FM) function continues to evolve, this course offers the latest thinking in the profession, right balance between asset performance (functionality, availability, reliability, safety), and will tackle specific issues encountered on the ground and apply best practices in discussing real solutions.

🚀  5-Day Advanced AI-Compliant Facilities Management & Management Skills Training 

Host: Kenvision Techniks 

Venue: Sunstar Hotel, Off Thika Superhighway, Garden Estate Rd, Nairobi 

Time: 09:00 – 16:30 EAT 

Fee: $1,800 (Includes tuition, digital materials, certificate, meals, beverages, stationery, Kenvision T-shirt, laptop & laptop bag) 

1. Course Overview

 Target Audience: 

– Senior Facilities Managers 

– Property & Estate Managers 

– Operations Managers 

– Maintenance Engineers & Technicians 

– Corporate Real Estate Professionals 

– AI & IoT Specialists in FM 

– Sustainability & Compliance Officers 

 Purpose: 

To equip professionals with cutting-edge AI-driven facilities management (FM) strategies, leadership skills, and compliance knowledge to optimize operational efficiency, sustainability, and cost-effectiveness. 

 Objectives & Goals: 

– Understand AI, IoT, and machine learning applications in FM. 

– Develop advanced management skills for smart buildings. 

– Enhance compliance with safety, energy, and environmental regulations. 

– Improve predictive maintenance and asset management using AI. 

– Foster leadership in tech-driven FM environments. 

 Areas of Deployment: 

– Smart Building Management 

– Predictive Maintenance Systems 

– Energy & Sustainability Optimization 

– Compliance & Risk Management 

– AI-Driven Security & Automation 

Course Outline

 Day 1: Introduction to AI in Facilities Management 

Time: 09:00 – 16:30 

Topics: 

– Evolution of AI in FM 

– Key AI & IoT Technologies in Smart Buildings 

– Case Studies: AI in Modern Facilities 

– Hands-on: AI-Based Facility Monitoring Tools 

Activity: Group Discussion – AI Adoption Challenges 

 Day 2: AI-Driven Predictive Maintenance & Asset Management 

Time: 09:00 – 16:30 

Topics: 

– Predictive vs. Reactive Maintenance 

– AI for Asset Lifecycle Management 

– Integrating AI with CMMS (Computerized Maintenance Management Systems) 

Workshop: AI-Based Fault Detection Simulation 

 Day 3: Energy Efficiency & Sustainability with AI 

Time: 09:00 – 16:30 

Topics: 

– Smart Energy Management Systems 

– AI for Carbon Footprint Reduction 

– Compliance with Green Building Standards (LEED, BREEAM) 

Case Study: Sunstar Hotel’s Energy Optimization 

Day 4: Compliance, Risk & Security in AI-Driven FM 

Time: 09:00 – 16:30 

Topics: 

– Regulatory & Safety Compliance in Smart Facilities 

– AI in Security & Access Control 

– Cybersecurity in IoT-Enabled FM 

Activity: Risk Assessment Simulation 

 Day 5: Leadership & Strategic FM in the AI Era 

Time: 09:00 – 16:30 

Topics: 

– Change Management for AI Adoption 

– Data-Driven Decision Making 

– Future Trends: Robotics & Autonomous FM 

Final Assessment & Certification Ceremony 

3. Key Takeaways

✅ Digital Toolkit: AI-based FM software demos, templates, and guides. 

✅ Certification: Proof of proficiency in AI-driven FM. 

✅ Networking: Engage with industry leaders and peers. 

✅ Laptop & Materials: Provided for hands-on training. 

4. Registration & Contact

Fee: $1,800 – Covers Tuition, Tea & Lunch plus water, Certificate of Competence  + Laptop plus a bag 

Registration Link: https://www.kenvisiontechniks.com/download/course-booking-form/  

Contact: Kenvision Techniks – training@kenvisiontechniks.com  | +254 725 579 251 

Limited Slots Available! 

Transform Your FM Skills with AI!