Course Details

AI‑powered Agile in NGO Projects Training Course:Applying AI to manage agile work

Introduction
As non-governmental organizations (NGOs) strive for greater impact, efficiency, and adaptability, integrating artificial intelligence (AI) into agile project management has emerged as a transformative solution. The AI-Powered Agile in NGO Projects Training Course: Applying AI to Manage Agile Work is specifically designed to equip NGO professionals with the knowledge and tools to harness AI for streamlining agile processes, improving real-time decision-making, and enhancing stakeholder collaboration. Participants will explore how AI applications can support agile workflows in planning, execution, monitoring, and reporting across diverse humanitarian and development projects.

This 10-day, hands-on course provides a deep dive into combining agile methodologies such as Scrum and Kanban with cutting-edge AI technologies, including machine learning, natural language processing, and predictive analytics. Through practical exercises and real-world case studies, participants will learn to implement AI-enhanced agile practices in resource-constrained, dynamic, and data-intensive environments. The course is ideal for NGO teams seeking to become more responsive, data-driven, and digitally mature in managing complex projects with evolving needs.

Duration

10 Days
Target Audience

• NGO project managers and team leaders
• Program and portfolio managers
• ICT4D and innovation officers
• M&E and data management professionals
• Donor and grants management officers

Course Objectives

• Understand the fundamentals of agile project management and AI integration
• Explore AI tools that support agile planning, collaboration, and reporting
• Enhance responsiveness, transparency, and efficiency in project execution
• Improve stakeholder engagement through intelligent automation
• Build capacity to apply AI for adaptive decision-making and risk management

Course Modules

Module 1: Introduction to Agile Methodologies in NGOs

• Overview of Agile, Scrum, Kanban, and Lean
• Agile principles in the NGO context
• Benefits of agile for development and humanitarian projects
• Agile roles and ceremonies explained
• Comparing agile vs traditional project management

Module 2: Understanding the Role of AI in Project Management

• What is AI? Key concepts and terms
• Types of AI relevant to NGOs
• How AI is transforming project workflows
• Opportunities and limitations of AI
• Ethical considerations in AI adoption

Module 3: Integrating AI into Agile Workflows

• Aligning AI tools with agile processes
• Automating sprint planning and backlog grooming
• AI-enabled time tracking and resource allocation
• Enhancing agile boards with AI
• Creating feedback loops using AI

Module 4: AI for Project Planning and Forecasting

• Predictive analytics for project timelines
• Using machine learning to estimate workloads
• AI-assisted budgeting and resource prediction
• Scenario planning and simulation tools
• Enhancing logframes with AI-generated insights

Module 5: Enhancing Collaboration with AI Tools

• AI chatbots for team communication
• Intelligent meeting scheduling and task assignment
• Sentiment analysis for team feedback
• AI in asynchronous communication tools
• Language processing tools for multilingual teams

Module 6: Risk Management and Issue Tracking with AI

• AI for risk identification and assessment
• Pattern recognition in project performance data
• Early warning systems using AI algorithms
• Smart alerts and automated mitigation strategies
• Integrating AI into risk registers

Module 7: Real-Time Monitoring and Adaptive Reporting

• AI dashboards for agile project monitoring
• Data visualization and trend spotting
• NLP tools for report generation
• Automating indicator tracking
• Adaptive reporting for dynamic environments

Module 8: AI-Driven Stakeholder Engagement

• AI tools for mapping and analyzing stakeholders
• Personalizing communication using data insights
• Feedback collection using AI-enabled surveys
• Social listening tools for external engagement
• Chatbots and virtual agents in community engagement

Module 9: Data Management and Governance for AI Systems

• Building data pipelines for AI tools
• Ensuring data quality, privacy, and compliance
• Metadata and knowledge organization
• Responsible data use in AI systems
• Open data vs protected data frameworks

Module 10: Building and Managing an AI-Ready Agile Team

• Upskilling teams in AI literacy and agile methods
• Role of the AI Product Owner and Agile Coach
• Encouraging a culture of experimentation
• Cross-functional collaboration for AI projects
• Recruiting and onboarding for AI-enhanced roles

Module 11: Selecting the Right AI Tools for NGOs

• Review of AI-powered agile platforms (e.g., Jira, Monday.com, ClickUp with AI)
• Tool selection based on budget, scalability, and use case
• Customizing open-source AI solutions
• API integrations and interoperability
• Ensuring user adoption and minimal disruption

Module 12: Future Trends and Innovation in Agile AI for NGOs

• Emerging technologies: generative AI, LLMs, AI copilots
• Applying AI to humanitarian response and resilience
• AI in complex adaptive systems
• Funding and policy considerations for AI adoption
• Creating a roadmap for AI and agile maturity in NGOs

CERTIFICATION

• Upon successful completion of this training, participants will be issued with Macskills Training and Development Institute Certificate

TRAINING VENUE

• Training will be held at Macskills Training Centre. We also tailor make the training upon request at different locations across the world.

AIRPORT PICK UP AND ACCOMMODATION

• Airport pick up and accommodation is arranged upon request

TERMS OF PAYMENT

Payment should be made to Macskills Development Institute bank account before the start of the training and receipts sent to info@macskillsdevelopment.com