WELCOME TO
Africa Environmental Health Organization
Environmental Health Projects Management
Brief Introduction
Environmental health challenges: waste, pollution, climate risks, vector borne diseases, water quality, and sanitation require fast, evidence driven project management. This training equips participants with the core competencies to design and manage environmental health interventions using global best practices, and AI enabled digital tools that improve accuracy, speed, and impact.
The course is structured for online delivery, using short sessions, interactive exercises, breakout discussions, and hands on demonstrations of AI applications.
Objectives
Participants will be able to:
- Apply project management principles to environmental health interventions.
- Use AI tools for problem analysis, proposal writing, monitoring, and reporting.
- Develop fundable project proposals aligned with donor and policy priorities.
- Implement digital data collection and real time environmental surveillance.
- Conduct rapid environmental health assessments and risk prioritisation.
- Manage stakeholders, budgets, and field operations effectively.
- Produce AI enhanced dashboards and reports for decision makers
Modules
DAY 1 — FOUNDATIONS & PROJECT DESIGN
Module 1- Environmental Health Systems & Project Management Essentials
- Environmental health systems and priority areas
- Project lifecycle in environmental health
- AI supported problem analysis
- Automated environmental scanning
- GIS based risk mapping
Module 2 — Project Design, Planning & Proposal Development
- Problem tree analysis
- Theory of Change for environmental health
- Logical Framework (LogFrame)
- Budgeting & resource planning
- AI assisted proposal writing
- AI tools for donor alignment
- Automated drafting of objectives, indicators, and workplans
Module 3 — Digital Data Collection & Environmental Surveillance
- Digital data collection tools (mobile apps, sensors, drones)
- Environmental sampling & rapid assessments
- AI driven predictive modelling
- Automated data cleaning
- Real time dashboards
Module 4 — Implementation & Field Operations Management
- Operational planning
- Community engagement strategies
- Logistics optimisation (routing, supply chain, resource allocation)
- AI supported team coordination
- Automated scheduling and task tracking
DAY 2 — MONITORING, IMPACT, SUSTAINABILITY & LEADERSHIP
Module 5 — Monitoring, Evaluation & Learning (MEL)
- MEL frameworks
- KPI development for environmental health
- Automated reporting
- Trend analysis and anomaly detection
- AI generated donor ready reports
Module 6 — Impact Assessment, Sustainability & Policy Alignment
- Environmental impact assessment
- Climate resilient project design
- Scenario modelling for long term sustainability
- AI supported policy benchmarking
Module 7 — Digital Transformation & AI for Environmental Health Leadership
- AI tools for leaders
- Ethical use of AI in public health
- Building digital ready teams
- Case studies of AI enabled environmental health projects
Target Audience
This program is ideal for:
- Environmental Health Officers & Supervisors
- Public Health Practitioners
- NGO Programme Managers
- WASH & Climate Resilience Officers
- Local Government Environmental Teams
- Students & Early Career Professionals
- Community Development Practitioners
Participants will gain
- Design evidence based environmental health projects using modern tools.
- Use AI applications to enhance project planning, monitoring, and reporting.
- Produce fundable proposals and strong project documentation.
- Implement digital data systems for real time environmental surveillance.
- Manage teams and stakeholders effectively in online and field contexts.
- Demonstrate improved leadership capacity in environmental health project delivery.
Workshop Cost:
- Number of Days ♦3 Days
- Venue ♦Online
- Cost ♦₦30,000
- Date: ♦15th September – 17th September, 2026