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Diploma in AI Driven Monitoring and Evaluation (M&E)

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Course Description:
Artificial Intelligence (AI) is transforming how Monitoring and Evaluation (M&E) is designed, implemented, and utilized across development and public sector programs. While this transformation is gradual, understanding and applying AI in M&E is no longer optional—it is essential for improving efficiency, accuracy, and impact.
This 6-month Diploma in AI for Monitoring and Evaluation provides a practical, hands-on learning experience tailored for professionals working in Africa’s development landscape. The course focuses on integrating AI into core M&E processes including data collection, analysis, predictive modeling, and reporting.
Participants will gain exposure to accessible, no-code and low-code AI tools that can be applied in real-world contexts such as health systems, agriculture programs, climate change initiatives, and social development projects. Emphasis is placed on ethical AI use, data governance, and applying innovative solutions in resource-constrained environments.
Course Objectives:
By the end of this course, participants will be able to:
  • Understand the fundamentals of Artificial Intelligence and its relevance to M&E
  • Apply AI tools to improve data collection, management, and analysis
  • Develop predictive models to enhance decision-making in programs
  • Integrate AI into M&E frameworks and reporting systems
  • Address ethical considerations and data privacy issues in AI applications
  • Design innovative, data-driven solutions for development challenges
The Following are the Key Thematic Areas Participants Will Cover:

Month 1: Introduction to AI and M&E

  1. Fundamentals of AI and machine learning

  2. Overview of M&E systems

  3. AI opportunities in development sectors

Month 2: Data Collection and Management

  1. Digital data collection tools

  2. Data quality and governance

  3. Introduction to AI-powered data systems

Month 3: Data Analysis and Visualization

  1. AI-assisted data analysis techniques

  2. Data visualization tools (dashboards, reporting)

  3. Interpreting data for decision-making

Month 4: Predictive Analytics in M&E

  1. Introduction to predictive modeling

  2. Forecasting trends in development programs

  3. Practical applications in health, agriculture, and climate

Month 5: AI Integration and Ethics

  1. Integrating AI into M&E frameworks

  2. Ethical AI use and bias mitigation

  3. Data privacy and security considerations

Month 6: Capstone Project and Evaluation

  1. Real-world project development

  2. Application of AI tools in M&E

  3. Final presentation and evaluation

Target Audience:
This course is tailored for people listed below:
  • Monitoring and Evaluation (M&E) practitioners
  • Program and project managers
  • Development professionals and NGO staff
  • Researchers and data analysts
  • Government officials and policy makers
  • Individuals interested in AI applications in development
Training Format
  • Interactive Online Modules: Video lectures, guided tutorials, and quizzes
  • Hands-On Practice: Use of no-code/low-code AI tools and real datasets
  • Case Studies: Applications of AI in African development contexts
  • Optional Workshops: Physical sessions in Nairobi for practical engagement
Materials Provided: 
  • Access to course slides, tools, and datasets
  • AI tools and software resources (no coding required)
  • Reading materials and case studies
  • Practical guides and templates
Assignments:
  • Module quizzes and practical exercises
  • Hands-on AI tool applications
  • Participation in group discussions
  • Final capstone project and presentation
Certification:
Upon successful completion of the course, participants will receive a Diploma in Artificial Intelligence (AI) for Monitoring and Evaluation, demonstrating their ability to apply AI tools and techniques in modern M&E practice.
Duration and Course Load: 24 weeks (5 to 6 hours per week)
Dates: 6 Months (Part-time: 10–15 hours per week)
Participants: Development Professionals
Regions: Africa and Global
Organizer:  Africa Training Institute
Language: English
Format: Online (ATI Learning Platform) with optional in-person workshops in Nairobi
General Course Contact:
The Academics Manager,
Africa Training Institute Studies (ATI)
E-mail: info@africatraininginstitute.org
Website: www.africatraininginstitute.org
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