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

Course Duration

5 days

Course Objectives

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

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

Target Audience

M&E Officers and Specialists
Program Managers and Coordinators
Government and Policy Analysts
NGO and CSO Staff
Development Practitioners
Researchers and Academics
Data Analysts and Statisticians
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.org 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.

Skills & Software Covered

Indicator tracking Goal alignment Progress assessment Impact evaluation

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000