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Diploma in AI-Driven Monitoring and Evaluation
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Course Description:
AI is changing how we work in M&E. Not overnight, but steadily. Understanding these changes isn’t optional anymore—it’s part of staying relevant and effective in your role.
This 6-month diploma program integrates AI into core M&E processes for professionals in Africa's public and development sectors. It focuses on practical tools for data collection, analysis, predictive modeling, and ethical implementation, tailored to challenges like health, agriculture, and climate projects in resource-limited environments.
Program Details:
- Duration: 6 months (part-time, 10-15 hours/week)
- Key Note: No Prior coding experience required – the course uses accessible, no-code/low-code tools
- Format: Online via ATI platform; optional Nairobi workshops
- Target Audience: M&E practitioners with basic knowledge; no coding required
- Cost: $600
Course Objectives:
By the end of this course, participants will be able to:
- Understand foundational principles and frameworks in M&E specific to population, health, and nutrition programs.
- Design and implement effective M&E plans using appropriate indicators and evaluation designs.
- Analyze data sources and interpret results to inform decision-making within health programs.
- Conduct field assessments and apply learned concepts in real-world scenarios.
- Collaborate effectively in team-based projects to develop monitoring frameworks and evaluate health initiatives.
Course Structure(Months):
- - AI fundamentals and ethics in M&E
- - Tools for data management, visualization, and real-time monitoring
- - Predictive analytics and adaptive strategies
- - Bias mitigation and team integration
- Months 1-3 (Foundations): AI basics, data handling, analysis
- Months 4-6 (Application): Evaluation methods, implementation, capstone project
Training Format:
- Interactive Online Modules: A combination of video lectures, readings, and interactive quizzes to reinforce learned concepts.
- Case Studies: Real-world scenarios to illustrate the complexities of AI - Driven M&E .
- Group Collaboration: Opportunities for participants to work in teams on projects, fostering communication and teamwork skills.
Materials Provided:
- Access to course materials including PowerPoint slides, handouts, and case studies
- Reading lists and supplementary resources provided through the online platform
Assignments:
- Quizzes and reflective essays for each module
- Participation in online group discussions and activities
- Final group project presentation and peer review
Certification:
Upon successful completion of the course, participants will receive a certificate in Ai Driven Monitoring and Evaluation , signifying their specialized training and competence in the field.
The Academics Manager,
Africa Training Institute Studies (ATI)
E-mail:info@africatraininginstitute.org
Website:www.africatraininginstitute.org
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