Training on AI-Powered Hazard Recognition & Predictive Safety
Learn to apply AI and predictive analytics to prevent workplace accidents and improve safety performance.
Next intake
20 Jul 2026 · Dakar
Duration
5 days
Live instruction
Delivery
Physical + Virtual
Cohort based
Level
Intermediate
Working professionals
Certification
NITA reimbursable
For Kenyan cohorts
Language
English
All materials
About this programme
This course builds strategic and practical capacity to apply artificial intelligence (AI), data analytics, and digital technologies in strengthening workplace safety and risk prevention systems. It focuses on leveraging AI-powered tools to proactively identify hazards, predict safety incidents, and enhance decision-making across high-risk operational environments.
The course integrates occupational safety principles with modern AI applications such as computer vision, predictive analytics, and sensor-based monitoring. Through applied case studies and scenario-based exercises, participants gain the skills required to transition from reactive safety management to predictive and prevention-driven safety systems.
Duration
5 Days
Who Should Attend
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Health, Safety, and Environment (HSE) managers
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Safety officers and risk managers
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Operations and site managers
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Engineering and technical supervisors
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Digital transformation and innovation teams
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Regulators, inspectors, and compliance professionals
What you'll walk away with
By the end of the course, participants will be able to:
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Understand AI concepts relevant to occupational safety
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Identify workplace hazards using AI-enabled tools
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Apply predictive analytics to anticipate safety risks
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Integrate AI solutions into existing safety management systems
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Improve incident prevention, compliance, and safety performance
What we cover, module by module
Module 1: Foundations of AI & Predictive Safety
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Overview of AI, machine learning, and data analytics
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Evolution from reactive to predictive safety management
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Safety data sources and digital transformation
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Case Study:Transitioning from traditional safety systems to AI-enabled safety
Module 2: AI-Based Hazard Recognition Technologies
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Computer vision for hazard detection
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Wearables, sensors, and IoT for safety monitoring
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Real-time hazard identification systems
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Case Study:AI-powered hazard recognition in construction and manufacturing
Module 3: Predictive Analytics & Safety Risk Modeling
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Predictive models for incident prevention
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Near-miss analysis and risk forecasting
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Using historical and real-time safety data
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Case Study:Predicting high-risk zones and activities
Module 4: Integrating AI into Safety Management Systems
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AI-enabled safety audits and inspections
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Compliance, ethics, and data governance
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Human–AI collaboration in safety decisions
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Case Study:Integrating predictive safety tools into ISO 45001 systems
Module 5: Implementation Strategy & Applied Project
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AI safety roadmap and implementation planning
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Change management and workforce adoption
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Capstone exercise: Designing an AI-powered predictive safety framework
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Case Study:End-to-end predictive safety system deployment
Where the change lands
Individual Impact
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Enhanced capability in modern safety risk analysis
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Improved confidence in using data and AI for safety decisions
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Stronger leadership in proactive safety management
Organizational Impact
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Reduced workplace incidents and near-misses
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Improved safety compliance and operational efficiency
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Data-driven, predictive safety culture
Dates and locations
Upcoming intakes
Every intake is limited to a small cohort. Booking closes when a date fills or three weeks before the start, whichever comes first.
| City | Starts | Ends | Delivery | Book |
|---|---|---|---|---|
DakarNext | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Johannesburg | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Dar es Salaam | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Nakuru | 20 Jul 2026 | 24 Jul 2026 | In-Person | Book |
Pretoria | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
Kisumu | 27 Jul 2026 | 31 Jul 2026 | In-Person | Book |
- DakarNext
20 Jul → 24 Jul·In-Person
Book this intake - Johannesburg
20 Jul → 24 Jul·In-Person
Book this intake - Dar es Salaam
20 Jul → 24 Jul·In-Person
Book this intake - Nakuru
20 Jul → 24 Jul·In-Person
Book this intake - Pretoria
27 Jul → 31 Jul·In-Person
Book this intake - Kisumu
27 Jul → 31 Jul·In-Person
Book this intake
Common questions.
Still not sure? Send us a note and a facilitator will get back to you within a business day.
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Course finder
Find the right course for you
Prefer to talk it through? Send us an enquiry and a facilitator will scope a fit within a business day.
For corporate teams
Training 10+ professionals?
We deliver Training on AI-Powered Hazard Recognition & Predictive Safety in-house at your offices, at a venue we arrange, or fully virtual. Customise the curriculum against your KPIs, and get a bespoke price for the cohort size you need.