Entry Requirements for Artificial Intelligence For Monitoring And Evaluation
Basics Computer Literacy
Duration: 2 Months
Delivery Method: Both Online & Physical
Fee Structure for Artificial Intelligence For Monitoring And Evaluation
| Full Course Fees | |
|---|---|
| Registration Fee | KES 1,000.00 ($ 10.00) |
| Certification Fee | KES 0.00 ($ 0.00) |
| Administration Fee | KES 0.00 ($ 0.00) |
| Internal Exam Fee | KES 0.00 ($ 0.00) |
| External Exam Fee | KES 0.00 ($ 0.00) |
| Examining Body Membership Fee * | KES 0.00 ($ 0.00) |
| Tuition Fee | KES 40,000.00 ($ 400.00) |
| Fees Totals | KES 41,000.00 ($ 410.00) |
| * Examining Body Membership Fee may be payable through us or directly to the Examining Body | |
All Fees are payable in lumpusm or in installments, for details see below.
Breakdown per semester,
| Trimester | Total Per Trimester |
|---|---|
| Trimester 1 | KES 41,000.00 ($ 410.00) |
| Total | KES 41,000.00 ($ 410.00) |
NB: Fees are payable in 3 installments as detailed below:
The trimester fees of KES 41,000.00 ($ 410.00) is payable in 3 installments of KES 13,666.67 ($ 136.67)
Course Requirements for Artificial Intelligence For Monitoring And Evaluation
- All Fees are payable in installements, for details check FAQs.
- Digital (downloadable) certificates are available. Printing and shipping of hardcopy certificate can be done at a cost of KES 2,000 ($ 20).
Practical Requirements for Artificial Intelligence For Monitoring And Evaluation (where applicable)
The cost of practicals, internships or industrial requirements is KES 30,000 ($ 300) and only applies to courses that require practicals.
Course Units/Overview for Artificial Intelligence For Monitoring And Evaluation
Artificial Intelligence for Monitoring and Evalutaion
Target: Policymakers, think tanks, NGOs
Lesson 1: AI in Policy Ecosystems
- African governance contexts
Lesson 2: Advanced Research Design
- Mixed-methods + AI
Lesson 3: AI-Assisted Data Analysis
- Thematic, statistical, trend analysis
Lesson 4: Monitoring, Evaluation & Learning (MEL)
- AI for indicators & dashboards
Lesson 5: Policy Drafting & Scenario Modeling
- Evidence-driven recommendations
Lesson 6: Data Visualization & Storytelling
- Communicating insights
Lesson 7: Ethics, Bias & Accountability
- Responsible policy AI
Lesson 8: Capstone Project
- Policy paper or M&E framework
| Unit ID | Unit Name |
|---|---|
| AIME001 | Artificial Intelligence For Monitoring And Evaluation |
Course Description for Artificial Intelligence For Monitoring And Evaluation
Artificial Intelligence for Monitoring and Evaluation
Course overview
The Artificial Intelligence for Monitoring and Evaluation (M&E) course at FINSTOCK EVARSITY COLLEGE is a 2-month online program designed to equip learners with practical knowledge and skills to apply AI tools and techniques in data-driven monitoring, evaluation, and decision-making processes. The course introduces how artificial intelligence can enhance the efficiency, accuracy, and timeliness of M&E systems across development projects, public sector programs, NGOs, and private organizations.
The curriculum covers key areas such as data analytics for M&E, machine learning applications, automated data collection, predictive analysis, visualization of results, and ethical considerations in the use of AI. Learners will gain hands-on exposure to AI-powered tools for tracking performance indicators, evaluating project outcomes, and generating actionable insights. Delivered through a flexible online platform, this program is ideal for M&E professionals, project managers, researchers, and policymakers seeking to strengthen their impact through innovative, technology-driven evaluation approaches.
What is the minimum grade required to do Artificial Intelligence for Monitoring and Evaluation?
In order to enroll and study for Artificial Intelligence for Monitoring and Evaluation you must have basic computer literacy.
Mode of Delivery
Home and/or office-based media employing a variety of self-instructional electronic and online self-study materials, such as; written self-instructional study modules, online interactive devices and self-tests, cloud-based content, videos of lectures mediated technical learning materials e.g., audiovisual and e-learning materials
Once enrolled on the course you will receive access to the e-learning site, where you will be able to access your healthcare assistant learning materials, join learner forums and access tutor support.
Career Opportunities
- Monitoring and Evaluation (M&E) Analyst
- AI-Driven Data Analyst
- Impact Evaluation Officer
- Program Performance Specialist
- Research and Learning Officer
- Development Analytics Specialist
- Policy Evaluation Analyst
- Results Measurement Officer
- AI Monitoring Systems Specialist
- Project Accountability Officer
- Evidence-Based Decision Support Analyst
Programme Goals
- Develop a strong understanding of AI concepts and their application in Monitoring and Evaluation
- Equip learners with skills to design AI-driven M&E frameworks and systems
- Apply data analytics, machine learning, and predictive models to improve decision-making
- Enhance the ability to collect, clean, analyze, and visualize large datasets for M&E purposes
- Use AI tools to automate data collection, reporting, and performance tracking
- Improve accuracy, efficiency, and timeliness of monitoring and evaluation processes
- Integrate real-time data and AI dashboards for evidence-based program management
- Strengthen capacity to assess program impact using AI-supported evaluation methods
- Promote ethical, transparent, and responsible use of AI in development and organizational contexts
- Prepare learners for roles in data-driven evaluation, policy analysis, and results-based management
- Support innovation in monitoring outcomes, impact measurement, and learning systems
Bottom of Form
Reasons to study
- Enhancing data-driven decision-making in projects and programs
- Improving accuracy and efficiency of monitoring and evaluation processes
- Automating data collection, cleaning, and analysis
- Strengthening impact assessment and performance tracking
- Supporting real-time monitoring and predictive analytics
- Improving evaluation of complex development and social programs
- Enhancing reporting, visualization, and dashboard creation
- Reducing costs and time in Monitoring and Evaluation activities
- Supporting evidence-based policy formulation
- Applying AI in development, health, education, and humanitarian programs
- Improving accountability and transparency in project implementation
- Managing large and diverse datasets effectively
- Understanding ethical and responsible use of AI in Monitoring and Evaluation
- Preparing for modern careers in Monitoring and Evaluation, data analysis, and program management
What we offer
Finstock Evarsity College offers a wide range of courses that are geared towards job creation as well as employment. Our courses and product offerings are categorized as online college based, degree programs, freemium courses and premium resources
Both freemium and premium online courses come with Diplomas of completion and you can register instantly and begin studying at your convenience.
Enroll and study in one of the best online Artificial Intelligence for Monitoring and Evaluation, in the world. Listen to the advice of the best. Participate in training sessions with industry experts to learn more about your career options. Take classes with students from all over the world. Join us at Finstock Evarsity College for the best learning experience.
Tags
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Examining Body for Artificial Intelligence For Monitoring And Evaluation
FINSTOCK EVARSITY COLLEGE
Course Instructor(s) for Artificial Intelligence For Monitoring And Evaluation
TBA
Course FAQs for Artificial Intelligence For Monitoring And Evaluation
1. What is the Artificial Intelligence For Monitoring And Evaluation?
The Artificial Intelligence For Monitoring And Evaluation is a Finstock Evarsity College certificate course focused on using AI tools to improve data collection, analysis, reporting and evidence-based programme decisions.
2. Who should study the Artificial Intelligence For Monitoring And Evaluation, and is it suitable for beginners?
Yes. The Artificial Intelligence For Monitoring And Evaluation is suitable for beginners, particularly learners and professionals interested in using AI tools to improve data collection, analysis, reporting and evidence-based programme decisions.
3. What are the entry requirements for the Artificial Intelligence For Monitoring And Evaluation?
The entry requirement for the Artificial Intelligence For Monitoring And Evaluation is basic computer literacy.
4. How long does the Artificial Intelligence For Monitoring And Evaluation take, and how many trimesters does it have?
The Artificial Intelligence For Monitoring And Evaluation takes 2 months and is structured within 1 trimester.
5. How much are the fees for the Artificial Intelligence For Monitoring And Evaluation, and are flexible payment options available?
The total fee for the Artificial Intelligence For Monitoring And Evaluation is KES 41,000.00. It may be paid in full or in 3 installments of KES 13,666.67.
6. Is the Artificial Intelligence For Monitoring And Evaluation offered online?
Yes. The Artificial Intelligence For Monitoring And Evaluation is offered both online and physically; online learners use digital materials, self-tests, learner forums and tutor support.
7. What will I learn and what practical skills will I gain from the Artificial Intelligence For Monitoring And Evaluation?
In the Artificial Intelligence For Monitoring And Evaluation, you will learn AI in policy ecosystems, AI-assisted research design, data analysis, indicators, dashboards, scenario modelling, visualization, ethics and a capstone M&E framework.
8. What career opportunities are available after completing the Artificial Intelligence For Monitoring And Evaluation?
After the Artificial Intelligence For Monitoring And Evaluation, relevant opportunities include M&E analyst, impact-evaluation officer, development analytics specialist, research and learning officer or project-accountability officer. Specific employment may require additional qualifications, experience or licensing.
9. Can I advance to a higher qualification after completing the Artificial Intelligence For Monitoring And Evaluation?
Yes. After the Artificial Intelligence For Monitoring And Evaluation, learners may progress to a higher or related qualification in monitoring and evaluation, data science, research methods, project management or public policy, subject to the entry requirements of the receiving programme or institution.
10. Why should I choose the Artificial Intelligence For Monitoring And Evaluation at Finstock Evarsity College?
Choose the Artificial Intelligence For Monitoring And Evaluation at Finstock Evarsity College for flexible online and physical study, practical course-specific learning, tutor support, installment payments and a downloadable certificate on successful completion.
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