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Official programme prospectus
Advanced Artificial Intelligence for Development Professionals
Applied AI for programme design, analysis, reporting and service delivery.
- Duration
- 6 months / about 24 weeks
- Fee
- SLE 3,500
- Delivery
- Online · Face-to-face · Blended
- Level
- Advanced
SLIHSD · Advanced Artificial Intelligence for Development Professionals · Programme prospectus
1. About SLIHSD
Sierra Leone Institute for Humanitarian and Sustainable Development is a developing professional education, training and capacity-development institute focused on practical, accessible learning for humanitarian, community and sustainable-development practice.
2. Why this programme?
Applied AI for programme design, analysis, reporting and service delivery. The programme is structured for learners who need practical, assessable capability they can connect to real responsibilities while continuing work or other commitments.
3. Programme at a glance
- Category
- Digital, Creative & Business
- Level
- Advanced
- Duration
- 6 months (about 24 weeks)
- Study modes
- Online · Face-to-face · Blended
- Indicative programme fee
- SLE 3,500
- Registration fee
- SLE 100
- Location
- Mile 91, Tonkolili District, Sierra Leone
- Application deadline
- 31 March 2026
Around 24 weeks of guided study, typically two sessions a week plus independent work, so you can keep working while you study.
4. Target audience
- • Learners, freelancers, entrepreneurs and small-business owners developing practical digital or creative skills.
- • Staff who need stronger digital production, communication or office skills for their current role.
- • School leavers and graduates building an evidence-based portfolio for further study or entry-level opportunities.
5. Entry requirements
- • Basic literacy and secondary-level education, or relevant practical work experience.
- • Access to a phone, tablet or computer for online and blended study.
- • Commitment to attend sessions and submit assignments on time.
6. Learning outcomes
- • Build reliable AI workflows for your role
- • Assess risks and bias in AI outputs
- • Deliver an AI-supported reporting process
7. Course structure and modules
| Unit | Study block | Module |
|---|---|---|
| 1 | Weeks 1–5 | AI foundations and prompt practice |
| 2 | Weeks 6–10 | AI for data analysis and reporting |
| 3 | Weeks 11–15 | Automation of routine programme tasks |
| 4 | Weeks 16–20 | Ethics, bias, privacy and safeguarding in AI |
| 5 | Weeks 21–24 | Designing an AI-supported workflow |
8. Detailed module breakdown
1. AI foundations and prompt practice (Weeks 1–5)
Build hands-on competence in AI foundations and prompt practice through guided demonstrations, practice files and portfolio work.
- • Core tools and workflow for AI foundations and prompt practice
- • Production standards, file management and responsible use
- • Creating, reviewing and presenting a finished output
Assessed work: Complete a portfolio-ready output demonstrating AI foundations and prompt practice.
2. AI for data analysis and reporting (Weeks 6–10)
Examine AI for data analysis and reporting as an evidence-to-decision process, from selecting suitable methods to interpreting and presenting findings.
- • Purpose, scope and ethical considerations for AI for data analysis and reporting
- • Appropriate data sources, methods and quality checks
- • Interpretation, documentation and decision-ready reporting
Assessed work: Produce and review a working analysis or evidence tool for AI for data analysis and reporting.
3. Automation of routine programme tasks (Weeks 11–15)
Study automation of routine programme tasks in the context of digital, Creative & Business, connecting essential concepts with practical decisions and professional documentation.
- • Essential concepts and terminology within automation of routine programme tasks
- • Methods, tools and professional standards used in practice
- • Application through a relevant case, task or workplace scenario
Assessed work: Complete a guided case task applying automation of routine programme tasks to a realistic setting.
4. Ethics, bias, privacy and safeguarding in AI (Weeks 16–20)
Apply ethics, bias, privacy and safeguarding in AI through systematic risk identification, proportionate controls, safe documentation and escalation.
- • Hazards, exposure and professional responsibilities within ethics, bias, privacy and safeguarding in AI
- • Prevention, control and response measures
- • Inspection, recording, referral and improvement actions
Assessed work: Complete a scenario-based risk, control or referral exercise for ethics, bias, privacy and safeguarding in AI.
5. Designing an AI-supported workflow (Weeks 21–24)
Build hands-on competence in designing an AI-supported workflow through guided demonstrations, practice files and portfolio work.
- • Core tools and workflow for designing an AI-supported workflow
- • Production standards, file management and responsible use
- • Creating, reviewing and presenting a finished output
Assessed work: Complete a portfolio-ready output demonstrating designing an AI-supported workflow.
9. Practical project / portfolio
Deploy an AI-supported workflow in your own workplace and evaluate it.
10. Teaching & learning approach
- • Tutor-led explanation and demonstration focused on the published module topics.
- • Guided practice using cases, scenarios, templates or production tasks relevant to the programme.
- • Individual and group feedback that helps learners improve work before final submission.
- • Flexible online, face-to-face or blended participation, with evening and weekend scheduling where available.
11. Assessment & completion
- • Short applied tasks linked to the published modules.
- • Practical component: Deploy an AI-supported workflow in your own workplace and evaluate it.
- • A final assessment or portfolio review covering the full syllabus.
- • Participation in guided sessions, discussions and group exercises.
12. Career & professional pathways
- • Use the completed portfolio to demonstrate practical capability for freelance, small-business or junior digital work.
- • Apply the skills within communications, administration, marketing or programme-support responsibilities.
- • Progress to a longer SLIHSD digital, creative or business programme where available.
13. Learner support
- • Session handouts, checklists and templates you keep after the course.
- • Practice files and design or campaign briefs for each tool covered.
- • Tutor guidance by WhatsApp between sessions.
14. Fees & enrolment
Indicative programme fee for this course is SLE 3,500, plus a one-off registration fee of SLE 100. Final fees and any instalment arrangement are confirmed with you in writing before you commit.
| Course length | Indicative fee |
|---|---|
| 1 month short courses | SLE 150 – 750 |
| 1–3 months | SLE 2,500 |
| 3–6 months | SLE 3,500 |
| 6–18 months | SLE 5,000 |
15. Quality, recognition & regulatory notice
SLIHSD is a developing professional learning institution. Accreditation and formal recognition are subject to applicable regulatory approvals. Completion records an SLIHSD professional short course and is not presented as an accredited academic award.
Learners who complete all assessments receive an SLIHSD professional certificate of completion. This records completion of an SLIHSD short course and is not presented as an accredited academic award.
16. Contact & application
Learn. Build skills. Make a difference.
Apply online at slihsd.org/admissions, message us on WhatsApp +232 73655013, call +232 73655013, or email info@slihsd.org.
Sierra Leone Institute for Humanitarian and Sustainable Development (SLIHSD) · Mile 91, Tonkolili District, Sierra Leone · WhatsApp Business +232 73655013 · info@slihsd.org · slihsd.org
SLIHSD is a developing professional learning institution. Accreditation and formal recognition are subject to applicable regulatory approvals. Certificates issued reflect completion of SLIHSD short courses and are not presented as accredited academic awards.