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CLA (Collaborating, Learning and Adapting) Implementation for Agriculture Training Course

Online Training Download PDF

How to Register Click View Schedule for your preferred location, select your training dates, then register as an individual, group, or online participant. You will receive an invitation letter and invoice promptly after submission.

Training Locations Kenya (Nairobi, Mombasa, Malindi, Kisumu, Nakuru, Nanyuki) · Tanzania (Dodoma, Zanzibar, Dar es Salaam) · Dubai UAE · South Africa (Pretoria, Cape Town) · Istanbul · Accra · Banjul more ▾

Groups & Payment Groups of 5+ receive one complimentary place — see group rates. Payment due at least 1 month before (Europe & Asia) or 2 weeks before (Africa programs).

Upcoming Training Schedules 14 locations

Location	Duration	Next Start Date	Dates Available	Action
Nairobi, Kenya	10 days	Aug 31, 2026	97 dates
Accra, Ghana	10 days	Aug 31, 2026	49 dates
Addis Ababa, Ethiopia	10 days	Aug 31, 2026	49 dates
Cape Town, South Africa	10 days	Sep 7, 2026	48 dates
Dar es Salaam, Tanzania	10 days	Sep 7, 2026	48 dates
Dubai, UAE	10 days	Sep 7, 2026	68 dates
Istanbul, Turkey	10 days	Aug 31, 2026	48 dates
Kampala, Uganda	10 days	Sep 7, 2026	48 dates
Kigali, Rwanda	10 days	Sep 7, 2026	48 dates
Kuala Lumpur, Malaysia	10 days	Aug 31, 2026	49 dates
Mombasa, Kenya	10 days	Aug 31, 2026	48 dates
Pretoria, South Africa	10 days	Aug 31, 2026	48 dates
Singapore	10 days	Sep 14, 2026	49 dates
Zanzibar, Tanzania	10 days	Aug 31, 2026	49 dates

CLA (Collaborating, Learning and Adapting) Implementation for Agriculture Training Course

Course Overview

CLA (Collaborating, Learning and Adapting) Implementation for Agriculture Training Course is designed to equip agricultural professionals, Monitoring, Evaluation, Accountability and Learning (MEAL) specialists, agricultural researchers, project managers, extension officers, policymakers, donor-funded project staff, agribusiness managers, development practitioners, and institutional leaders with comprehensive knowledge and practical competencies in implementing Collaborating, Learning and Adapting (CLA) approaches to strengthen agricultural programme performance, organizational learning, innovation, stakeholder engagement, and evidence-based decision-making. As ministries of agriculture, agricultural research institutions, universities, NGOs, international development organizations, agribusiness enterprises, and donor agencies increasingly adopt Results-Based Management (RBM), Monitoring, Evaluation, Accountability and Learning (MEAL), Sustainable Development Goals (SDGs), climate-smart agriculture, agricultural value chain development, food security, digital agriculture, adaptive management, organizational learning, knowledge management, evidence-based policymaking, agricultural innovation systems, collaboration frameworks, donor compliance, business intelligence, institutional performance management, and continuous quality improvement, CLA has become an internationally recognized framework for improving programme effectiveness through systematic collaboration, continuous learning, and adaptive management. This course provides participants with practical skills to integrate CLA principles into agricultural programme planning, implementation, monitoring, evaluation, and institutional development.

The course provides participants with practical experience in CLA framework design, stakeholder collaboration, partnership management, organizational learning systems, adaptive management, learning agendas, pause-and-reflect sessions, after-action reviews, knowledge management, learning documentation, collaboration platforms, agricultural innovation management, evidence utilization, policy learning, performance improvement, agricultural dashboard reporting, donor reporting, digital knowledge repositories, institutional capacity development, and strategic communication. Participants will gain hands-on experience integrating Microsoft Excel, Microsoft Power BI, Microsoft SharePoint, Microsoft Teams, SPSS, STATA, R, Python, NVivo, SurveyCTO, KoboToolbox, Open Data Kit (ODK), Geographic Information Systems (GIS), Agricultural Management Information Systems (AMIS), cloud collaboration platforms, artificial intelligence, machine learning, and business intelligence tools to strengthen collaboration and learning across crop production, livestock development, irrigation management, climate resilience, food security, agribusiness development, agricultural extension services, and rural development programmes.

Participants will further explore advanced concepts including systems thinking, stakeholder engagement, participatory governance, developmental evaluation, outcome harvesting, organizational culture transformation, digital collaboration, predictive analytics, artificial intelligence-assisted knowledge management, machine learning applications, organizational memory, policy influence, strategic partnerships, innovation management, institutional accountability, continuous improvement, and sustainability planning. Practical exercises demonstrate how CLA strengthens agricultural monitoring and evaluation, enhances donor compliance, improves programme performance, promotes innovation, supports evidence-based policy implementation, and accelerates sustainable agricultural development through collaborative learning and adaptive management.

Through instructor-led workshops, collaborative learning laboratories, adaptive management simulations, stakeholder engagement exercises, dashboard development practical sessions, digital collaboration workshops, peer learning activities, software demonstrations, agricultural innovation projects, and comprehensive agricultural case studies, participants will develop practical competencies in implementing CLA systems within agricultural organizations and programmes. Upon successful completion of the course, participants will possess the knowledge and skills required to institutionalize collaboration, strengthen Results-Based Management systems, improve organizational learning, enhance agricultural programme effectiveness, and support evidence-based agricultural policy and investment decisions.

Course Objectives

Understand the principles and components of Collaborating, Learning and Adapting (CLA) in agriculture.
Design and implement CLA frameworks for agricultural programmes and institutions.
Strengthen stakeholder collaboration and partnership management.
Develop organizational learning systems and knowledge management strategies.
Apply adaptive management approaches to improve programme performance.
Integrate digital collaboration platforms and business intelligence into CLA systems.
Facilitate evidence utilization and organizational learning processes.
Strengthen Monitoring, Evaluation, Accountability and Learning (MEAL) systems through CLA.
Improve donor compliance and evidence-based agricultural decision-making.
Promote sustainable agricultural development through collaboration, innovation, and continuous learning.

Organizational Benefits

Strengthens collaboration across agricultural institutions and stakeholders.
Improves organizational learning and adaptive management.
Enhances Monitoring, Evaluation, Accountability and Learning (MEAL) systems.
Supports donor compliance through evidence-based programme management.
Promotes innovation and continuous organizational improvement.
Strengthens institutional accountability and transparency.
Enhances knowledge management and information sharing.
Improves programme effectiveness and policy implementation.
Builds resilient agricultural institutions capable of adapting to change.
Supports sustainable agricultural development, climate resilience, and food security.

Target Participants

Monitoring, Evaluation, Accountability and Learning (MEAL) Specialists
Agricultural Project Managers
Agricultural Researchers
Ministry of Agriculture Officials
Agricultural Extension Officers
Agribusiness Managers
Knowledge Management Officers
Organizational Development Specialists
Policy Analysts
Programme Managers
Food Security Officers
Climate Change Specialists
Livestock Development Officers
Data Analysts
GIS Specialists
ICT Officers
University Lecturers
NGO and International Development Staff
Agricultural Consultants
Professionals involved in agricultural planning, programme management, monitoring and evaluation, organizational development, research, digital agriculture, collaboration, knowledge management, and institutional performance improvement.

Course Outline

Module 1: Introduction to Collaborating, Learning and Adapting (CLA)

CLA principles
Results-Based Management (RBM)
CLA framework
Organizational learning
Adaptive management
Agricultural applications

Case Study: Developing a CLA framework for a national agricultural transformation programme.

Module 2: Stakeholder Collaboration and Partnership Management

Stakeholder mapping
Partnership development
Collaboration strategies
Communication planning
Conflict resolution
Multi-stakeholder engagement

Case Study: Building partnerships among government, research institutions, private sector, and farmers.

Module 3: Organizational Learning Systems

Learning agendas
Knowledge management
Learning culture
Lessons learned
Institutional memory
Continuous improvement

Case Study: Establishing organizational learning systems within an agricultural research institution.

Module 4: Adaptive Management

Adaptive planning
Pause-and-reflect sessions
After-action reviews
Decision-making
Change management
Performance improvement

Case Study: Applying adaptive management to improve climate-smart agriculture projects.

Module 5: Monitoring, Evaluation, Accountability and Learning (MEAL)

Performance monitoring
Evaluation utilization
Accountability mechanisms
Learning indicators
Outcome harvesting
Evidence utilization

Case Study: Integrating CLA into agricultural MEAL systems to improve programme performance.

Module 6: Knowledge Management and Digital Collaboration

Microsoft SharePoint
Microsoft Teams
Knowledge repositories
Cloud collaboration
Information management
Digital communication

Case Study: Developing digital collaboration platforms for agricultural knowledge sharing.

Module 7: Data Analysis and Learning Insights

Microsoft Excel
Microsoft Power BI
SPSS
STATA
R and Python
Dashboard visualization

Case Study: Transforming agricultural monitoring data into actionable learning insights using dashboards.

Module 8: Innovation and Organizational Change

Agricultural innovation
Systems thinking
Change leadership
Innovation management
Organizational resilience
Strategic foresight

Case Study: Implementing innovation strategies to improve agricultural productivity and sustainability.

Module 9: Communication and Knowledge Sharing

Learning events
Communities of practice
Policy briefs
Knowledge products
Storytelling
Stakeholder engagement

Case Study: Developing knowledge-sharing mechanisms for agricultural extension programmes.

Module 10: Artificial Intelligence and Emerging Technologies

Artificial Intelligence
Machine learning
Predictive analytics
Intelligent collaboration systems
Automation
Digital transformation

Case Study: Using AI-powered collaboration and knowledge management tools to improve agricultural programme implementation.

Module 11: Institutional Capacity Development

Capacity assessment
Leadership development
Organizational governance
Performance management
Strategic planning
Sustainability planning

Case Study: Strengthening institutional capacity to implement CLA across agricultural development programmes.

Module 12: Future Trends in CLA for Agriculture

Geographic Information Systems (GIS)
Agricultural Management Information Systems (AMIS)
Business intelligence
Big data analytics
Cloud collaboration platforms
Future innovations

Case Study: Designing an integrated CLA framework combining Microsoft Excel, Microsoft Power BI, Microsoft SharePoint, Microsoft Teams, SPSS, STATA, R, Python, NVivo, SurveyCTO, KoboToolbox, Open Data Kit (ODK), Geographic Information Systems (GIS), Agricultural Management Information Systems (AMIS), Artificial Intelligence, machine learning, Results-Based Management, Monitoring, Evaluation, Accountability and Learning (MEAL), business intelligence, cloud collaboration, adaptive management, knowledge management, predictive analytics, and organizational learning to strengthen agricultural policy implementation, climate resilience, food security, institutional accountability, donor compliance, innovation, and sustainable agricultural development.

General Information

Customized Training: All our courses can be tailored to meet the specific needs of participants.
Language Proficiency: Participants should have a good command of the English language.
Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, CLA implementation workshops, stakeholder collaboration simulations, adaptive management laboratories, knowledge management practical sessions, Microsoft Power BI and SharePoint demonstrations, digital collaboration exercises, peer learning activities, software demonstrations, agricultural innovation projects, and comprehensive agricultural case studies. Our facilitators are seasoned experts with over a decade of experience in Results-Based Management, Monitoring, Evaluation, Accountability and Learning (MEAL), Collaborating, Learning and Adapting (CLA), agricultural programme management, knowledge management, digital agriculture, business intelligence, GIS, donor-funded programme implementation, and institutional performance improvement.
Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).
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.
Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.
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.
Additional Services: Accommodation, pickup services, flight booking, and visa processing arrangements are available upon request at discounted rates.
Equipment: Tablets and laptops can be provided to participants at an additional cost.
Post-Training Support: We offer one year of free consultation and coaching after the course.
Group Discounts: Register as a group of more than two participants and enjoy a discount ranging from 10% to 50%.
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.
Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.
Website: Visit our website at www.fdc-k.org for more information.

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training@fdc-k.org • +254 712 260 031 • Nairobi, Kenya