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HTME

COURSE OVERVIEW

AI0225 : Integrating AI in Workplace Safety Practices

Integrating AI in Workplace Safety Practices
OVERVIEW
COURSE TITLE : AI0225 : Integrating AI in Workplace Safety Practices
COURSE DATE : Nov 02 - Nov 06 2026
DURATION : 5 Days
INSTRUCTOR : Mr. Ron Jansen
VENUE : Abu Dhabi, UAE
COURSE FEE : $ 5500

Course Description

This practical and highly-interactive course
includes real-life case studies and exercises
where participants will be engaged in a series
of interactive small groups and class
workshops.
This course is designed to provide participants
with a detailed and up-to-date overview of
Integrating AI in Workplace Safety Practices. It
covers the artificial intelligence in workplace
safety and AI technologies relevant to HSE; the
AI-enabled HSE management systems, HSE
data fundamentals for AI applications and
suitable AI use cases in workplace safety; the
algorithmic bias, inaccurate outputs and false
predictions and establishing responsible AI
principles for safety-critical applications; and the
AI-assisted hazard identification, AI-enhanced
risk assessment and predictive analytics for
safety risk.
Further, the course will also discuss the
computer vision for hazard detection, AI
applications in process and operational safety
and AI-based incident and near-miss analysis;
the AI-assisted incident investigation, predictive
safety and early-warning systems as well as AI
for workplace inspections and safety
observations; and the AI for HSE performance
monitoring, AI for corrective and preventive
action management and generative AI for HSE
documentation.
During this interactive course, participants will learn the AI-assisted permit-to-work and
job safety analysis including AI for HSE compliance and audit management; the AIenabled
emergency preparedness and response, AI for safety training and competency
development and prompt engineering for HSE methods engineers; designing an AIenabled
HSE workflow and the AI risk management and governance for HSE; the
cybersecurity, privacy and data protection; and evaluating AI reliability and effectiveness
and developing an AI implementation roadmap for HSE.

link to course overview PDF

TRAINING METHODOLOGY

This interactive training course includes the following training methodologies:

Lectures
Practical Workshops & Work Presentations
Hands-on Practical Exercises & Case Studies
Simulators (Hardware & Software) & Videos

In an unlikely event, the course instructor may modify the above training methodology for technical reasons.

VIRTUAL TRAINING (IF APPLICABLE)

If this course is delivered online as a Virtual Training, the following limitations will be applicable:

Certificates : Only soft copy certificates will be issued
Training Materials : Only soft copy materials will be issued
Training Methodology : 80% theory, 20% practical
Training Program : 4 hours per day, from 09:30 to 13:30


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