Introduction

Monitoring and Evaluation for SDGs Training Course is designed to equip professionals with the strategic, analytical, and practical skills required to track, assess, and optimize SDG-related programs and projects. Leveraging evidence-based approaches, data-driven decision-making, and global best practices, this course enables participants to enhance accountability, improve program efficiency, and strengthen policy implementation. Participants will gain a deep understanding of the SDG framework, indicators, results-based management (RBM), and impact evaluation techniques, positioning them as experts in monitoring progress and driving sustainable outcomes.

This course emphasizes hands-on learning, interactive case studies, and real-world applications, providing learners with practical tools to design M&E frameworks, collect and analyze data, and report findings effectively. With a focus on innovation, technology integration, and results-oriented evaluation, participants will learn how to bridge the gap between policy, practice, and sustainable development outcomes. The course also covers emerging trends such as digital M&E tools, AI-driven analytics, participatory evaluation, and SDG impact measurement, ensuring participants are equipped to tackle contemporary challenges in sustainable development initiatives.

Programme Curriculum

Monitoring and Evaluation for SDGs Training Course

Introduction

Monitoring and Evaluation for SDGs Training Course is designed to equip professionals with the strategic, analytical, and practical skills required to track, assess, and optimize SDG-related programs and projects. Leveraging evidence-based approaches, data-driven decision-making, and global best practices, this course enables participants to enhance accountability, improve program efficiency, and strengthen policy implementation. Participants will gain a deep understanding of the SDG framework, indicators, results-based management (RBM), and impact evaluation techniques, positioning them as experts in monitoring progress and driving sustainable outcomes.

This course emphasizes hands-on learning, interactive case studies, and real-world applications, providing learners with practical tools to design M&E frameworks, collect and analyze data, and report findings effectively. With a focus on innovation, technology integration, and results-oriented evaluation, participants will learn how to bridge the gap between policy, practice, and sustainable development outcomes. The course also covers emerging trends such as digital M&E tools, AI-driven analytics, participatory evaluation, and SDG impact measurement, ensuring participants are equipped to tackle contemporary challenges in sustainable development initiatives.

Course Duration

5 days

Course Objectives

By the end of this course, participants will be able to:

  1. Develop robust M&E frameworks aligned with SDG targets.
  2. Apply data-driven decision-making for program improvement.
  3. Utilize results-based management (RBM) for accountability.
  4. Conduct impact assessments and evaluations using international standards.
  5. Integrate digital tools and dashboards for real-time monitoring.
  6. Analyze and interpret quantitative and qualitative data effectively.
  7. Strengthen policy implementation and reporting for SDG programs.
  8. Foster participatory monitoring with communities and stakeholders.
  9. Identify key performance indicators (KPIs) for program success.
  10. Apply risk management strategies in M&E.
  11. Communicate evidence-based insights to decision-makers.
  12. Track and measure progress towards SDGs at national and local levels.
  13. Implement innovative M&E approaches including AI, GIS, and mobile data collection.

Target Audience

  1. M&E Officers and Specialists
  2. Program Managers and Coordinators
  3. Government and Policy Analysts
  4. NGO and CSO Staff
  5. Development Practitioners
  6. Researchers and Academics
  7. Data Analysts and Statisticians
  8. SDG Project Implementers

Course Modules

Module 1: Introduction to M&E for SDGs

  • Understanding SDGs and global development agendas
  • Principles and standards of M&E
  • Linking M&E to policy and decision-making
  • inputs, outputs, outcomes, impact
  • Case Study: Tracking SDG progress in Kenya

Module 2: Designing M&E Frameworks

  • Developing logic models and results frameworks
  • Setting SMART indicators for SDGs
  • Aligning M&E with program objectives
  • Budgeting for M&E activities
  • Case Study: Designing an M&E framework for a health project

Module 3: Data Collection Methods

  • Quantitative and qualitative techniques
  • Survey design and sampling methods
  • Remote sensing and GIS applications
  • Mobile data collection tools
  • Case Study: Water and sanitation project monitoring

Module 4: Data Analysis and Interpretation

  • Statistical analysis for M&E
  • Data visualization and dashboards
  • Trend analysis for SDG targets
  • Data quality assurance
  • Case Study: Evaluating education program outcomes

Module 5: Results-Based Management (RBM)

  • Linking activities to outcomes
  • Monitoring KPIs and performance indicators
  • Outcome harvesting and impact evaluation
  • Reporting and accountability mechanisms
  • Case Study: RBM in local government SDG initiatives

Module 6: Participatory M&E

  • Engaging stakeholders and communities
  • Participatory data collection techniques
  • Empowering beneficiaries through evaluation
  • Managing feedback and learning loops
  • Case Study: Community-led monitoring of sanitation programs

Module 7: Innovative M&E Tools and Technologies

  • Digital dashboards and mobile applications
  • AI and machine learning in M&E
  • Remote monitoring using drones and satellites
  • Cloud-based M&E platforms
  • Case Study: Technology-driven monitoring in urban development

Module 8: Reporting, Learning, and Policy Influence

  • Writing M&E reports for diverse audiences
  • Using findings for advocacy and policy change
  • Knowledge management and learning systems
  • Communicating impact through storytelling
  • Case Study: SDG policy influence through evidence-based reporting

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

  • Interactive lectures and presentations.
  • Group discussions and brainstorming sessions.
  • Hands-on exercises using real-world datasets.
  • Role-playing and scenario-based simulations.
  • Analysis of case studies to bridge theory and practice.
  • Peer-to-peer learning and networking.
  • Expert-led Q&A sessions.
  • Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.com or call +254769199797 

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

 We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to FINESKILL TRAINING CENTER account, as indicated in the invoice so as to enable us prepare better for you.

Available Sessions

Aug 10 2026

10 Aug — 14 Aug 2026

online • Virtual session • Limited Availability
Aug 17 2026

17 Aug — 21 Aug 2026

online • Virtual session • Limited Availability
Aug 24 2026

24 Aug — 28 Aug 2026

online • Virtual session • Limited Availability
Aug 31 2026

31 Aug — 04 Sep 2026

online • Virtual session • Limited Availability
Sep 07 2026

07 Sep — 11 Sep 2026

online • Virtual session • Limited Availability
Sep 14 2026

14 Sep — 18 Sep 2026

online • Virtual session • Limited Availability
Sep 21 2026

21 Sep — 25 Sep 2026

online • Virtual session • Limited Availability
Sep 28 2026

28 Sep — 02 Oct 2026

online • Virtual session • Limited Availability
Oct 05 2026

05 Oct — 09 Oct 2026

online • Virtual session • Limited Availability
Oct 12 2026

12 Oct — 16 Oct 2026

online • Virtual session • Limited Availability
Oct 19 2026

19 Oct — 23 Oct 2026

online • Virtual session • Limited Availability
Oct 26 2026

26 Oct — 30 Oct 2026

online • Virtual session • Limited Availability
Nov 02 2026

02 Nov — 06 Nov 2026

online • Virtual session • Limited Availability
Nov 09 2026

09 Nov — 13 Nov 2026

online • Virtual session • Limited Availability
Nov 16 2026

16 Nov — 20 Nov 2026

online • Virtual session • Limited Availability
Nov 23 2026

23 Nov — 27 Nov 2026

online • Virtual session • Limited Availability
Nov 30 2026

30 Nov — 04 Dec 2026

online • Virtual session • Limited Availability
Dec 07 2026

07 Dec — 11 Dec 2026

online • Virtual session • Limited Availability
Dec 14 2026

14 Dec — 18 Dec 2026

online • Virtual session • Limited Availability
Dec 21 2026

21 Dec — 25 Dec 2026

online • Virtual session • Limited Availability
Dec 28 2026

28 Dec — 01 Jan 2027

online • Virtual session • Limited Availability