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Artificial Intelligence for National Development Planning Training Course

Online Training Download PDF
Upcoming Training Schedules 14 locations
Location Duration Next Start Date Dates Available Action
Nairobi, Kenya 5 days Jul 20, 2026 103 dates
Accra, Ghana 5 days Jul 20, 2026 31 dates
Addis Ababa, Ethiopia 5 days Jul 27, 2026 31 dates
Cape Town, South Africa 5 days Jul 27, 2026 51 dates
Dar es Salaam, Tanzania 5 days Jul 20, 2026 26 dates
Dubai, UAE 5 days Jul 20, 2026 51 dates
Istanbul, Turkey 5 days Oct 5, 2026 16 dates
Kampala, Uganda 5 days Aug 10, 2026 31 dates
Kigali, Rwanda 5 days Jul 20, 2026 51 dates
Kuala Lumpur, Malaysia 5 days Jul 20, 2026 31 dates
Mombasa, Kenya 5 days Jul 20, 2026 51 dates
Pretoria, South Africa 5 days Jul 20, 2026 51 dates
Singapore 5 days Aug 3, 2026 31 dates
Zanzibar, Tanzania 5 days Aug 10, 2026 15 dates

Artificial Intelligence for National Development Planning Training Course

Course Introduction

The Artificial Intelligence for National Development Planning Training Course is designed to equip government officials, national planners, policy makers, data analysts, development professionals, ICT experts, and public sector leaders with practical knowledge and strategic skills in applying artificial intelligence, machine learning, big data analytics, and digital transformation technologies in national development planning, public policy management, economic forecasting, and evidence-based governance systems. The course focuses on leveraging AI-driven solutions to improve strategic planning, service delivery, resource allocation, infrastructure development, and sustainable national transformation initiatives.

This highly practical and future-oriented training program explores key areas including AI governance frameworks, predictive analytics, smart government systems, digital economy transformation, intelligent decision-support systems, geospatial analytics, automation in public administration, data-driven policy formulation, and AI-enabled monitoring and evaluation systems. Participants will gain competencies in integrating artificial intelligence technologies into development planning processes for enhanced efficiency, transparency, innovation, and national competitiveness.

The course further examines ethical AI governance, cybersecurity, digital public infrastructure, smart cities planning, climate intelligence systems, economic modeling, innovation ecosystems, and institutional readiness for AI adoption. Through practical simulations, policy analysis, and real-world case studies, participants will learn how to design and implement AI-driven national development strategies aligned with Vision 2050 goals, sustainable development agendas, and future digital economies.

Course Objectives

  1. Develop strategic skills in artificial intelligence for national development planning
  2. Strengthen knowledge of AI governance and digital transformation policy frameworks
  3. Enhance competencies in predictive analytics and evidence-based decision-making
  4. Equip participants with AI applications for economic forecasting and public policy analysis
  5. Improve planning efficiency through intelligent data management and automation systems
  6. Build capacity in machine learning, big data analytics, and smart governance solutions
  7. Strengthen monitoring, evaluation, and performance management using AI technologies
  8. Enhance institutional readiness for AI adoption and digital innovation integration
  9. Promote ethical AI governance, cybersecurity, and responsible data management practices
  10. Improve sustainable development planning through AI-driven innovation and strategic foresight

Organization Benefits

  1. Improved national planning and policy formulation through AI-driven insights
  2. Enhanced efficiency in public service delivery and government operations
  3. Strengthened evidence-based decision-making and strategic resource allocation
  4. Increased institutional innovation and digital transformation capacity
  5. Improved economic forecasting and national development monitoring systems
  6. Enhanced public sector productivity through automation and intelligent systems
  7. Strengthened data governance, cybersecurity, and digital resilience frameworks
  8. Better coordination of smart city and digital economy initiatives
  9. Improved monitoring and evaluation of development programs and projects
  10. Enhanced national competitiveness and readiness for future digital economies

Target Participants

  • National Development Planning Officers
  • Government Policy Makers and Advisors
  • ICT and Digital Transformation Managers
  • Monitoring and Evaluation Specialists
  • Data Analysts and Data Scientists
  • Public Sector Executives and Administrators
  • Economic Planning and Finance Officers
  • Smart City and Urban Development Professionals
  • GIS and Geospatial Data Experts
  • AI and Machine Learning Professionals
  • Research and Innovation Managers
  • Development Partners and NGO Professionals
  • Cybersecurity and Data Governance Officers
  • Public Policy Analysts and Strategists
  • Institutional Transformation and Reform Leaders

Course Outline

Module 1: Foundations of Artificial Intelligence and National Development Planning

  1. Concepts and principles of artificial intelligence and machine learning systems
  2. AI applications in national development planning and public sector transformation
  3. Digital economy strategies and AI-driven governance frameworks
  4. Data ecosystems and intelligent decision-support systems
  5. National AI policies, regulatory frameworks, and governance models
  6. Case study on AI integration in national development and public sector planning

Module 2: Big Data Analytics and Predictive Planning Systems

  1. Big data analytics for evidence-based policy formulation and planning
  2. Predictive analytics and economic forecasting using AI technologies
  3. Data visualization and business intelligence for development planning
  4. AI-powered demographic, social, and economic trend analysis
  5. Real-time data management and strategic planning intelligence systems
  6. Case study on predictive analytics for national planning and economic development

Module 3: Smart Governance and AI-Driven Public Service Delivery

  1. Smart government systems and digital public administration transformation
  2. AI-enabled automation in public sector operations and service delivery
  3. Intelligent citizen engagement and digital governance platforms
  4. AI applications in tax administration, public finance, and resource management
  5. E-government systems and public sector innovation strategies
  6. Case study on AI-powered public service delivery and governance modernization

Module 4: AI for Sustainable Development and Smart Infrastructure Planning

  1. Artificial intelligence for smart cities and urban development planning
  2. AI applications in infrastructure development and transportation systems
  3. Climate intelligence and environmental sustainability planning using AI
  4. Geospatial analytics, GIS, and remote sensing for development management
  5. AI-driven disaster risk management and resilience planning systems
  6. Case study on smart infrastructure and sustainable development planning initiatives

Module 5: Ethical AI Governance, Cybersecurity, and Risk Management

  1. Ethical AI principles and responsible artificial intelligence governance
  2. Cybersecurity frameworks and digital risk management strategies
  3. Data privacy, protection regulations, and governance compliance systems
  4. Bias mitigation, transparency, and accountability in AI systems
  5. Institutional readiness and change management for AI adoption
  6. Case study on ethical AI implementation and cybersecurity governance frameworks

Module 6: Strategic Implementation, Innovation, and Future AI Trends

  1. Strategic implementation of AI projects and national digital transformation programs
  2. Innovation ecosystems and AI research and development strategies
  3. Monitoring, evaluation, and performance measurement using AI systems
  4. Public-private partnerships and investment in AI innovation initiatives
  5. Future trends in artificial intelligence, automation, robotics, and emerging technologies
  6. Case study on national AI transformation strategies and future digital economies

General Information

  1. Customized Training: All our courses can be tailored to meet the specific needs of participants.
  2. Language Proficiency: Participants should have a good command of the English language.
  3. Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.
  4. Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).
  5. Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.
  6. Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.
  7. Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.
  8. Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.
  9. Equipment: Tablets and laptops can be provided to participants at an additional cost.
  10. Post-Training Support: We offer one year of free consultation and coaching after the course.
  11. Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.
  12. Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.
  13. Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.
  14. Website: Visit our website at www.fdc-k.org for more information.

 

 

 

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