The Complete Guide to Using AI in the Education Industry in Brunei Darussalam in 2025
Last Updated: September 6th 2025
Too Long; Didn't Read:
Brunei's 2025 AI in education push pairs policy, teacher upskilling and personalized‑learning pilots (intelligent tutoring); AI Ready ASEAN will engage 20,000 locally (2,000 master trainers, ~800,000 cascade; 5.5M regional target). UBD graduated six Applied AI students; SEA drew USD 30B in 2024.
Brunei's 2025 pivot to practical AI education is gathering real momentum: the AI Ready ASEAN Programme launched on 5 June 2025 will work with local partners to engage 20,000 people in Brunei through ethical, hands‑on activities like the “Hour of Code” (see the AI Ready ASEAN Programme at UTB), while Universiti Brunei Darussalam is already graduating homegrown talent - six students in the first Applied Artificial Intelligence cohort - and embedding GenAI policy and lab work into teaching (read about UBD's AI programmes).
For educators and professionals seeking practical, workplace‑focused AI skills, Nucamp's 15‑week AI Essentials for Work bootcamp offers guided training on prompts and real business use cases to turn national ambitions into usable classroom and admin tools.
| Attribute | Details |
|---|---|
| Bootcamp | AI Essentials for Work |
| Length | 15 Weeks |
| Cost (early bird) | $3,582 |
| Courses | Foundations, Writing AI Prompts, Job-Based Practical AI Skills |
| Register / Syllabus | Register for Nucamp AI Essentials for Work • AI Essentials for Work syllabus |
“The future is always a lot closer than we think,” UBD Vice-Chancellor Dr Hazri Haji Kifle said.
Table of Contents
- Why AI Matters for Education in Brunei Darussalam
- What Is AI Used For in Brunei Darussalam in 2025?
- Where Is AI in Brunei Darussalam's Education System in 2025?
- What Are the AI Guidelines for Brunei Darussalam?
- Key Statistics for AI in Education in Brunei Darussalam (2025)
- Case Study - Universiti Brunei Darussalam (UBD) in Brunei Darussalam
- AI Skills, Training and Programmes Available in Brunei Darussalam
- Practical Implementation Checklist for Brunei Darussalam Schools & Institutions
- Conclusion & Next Steps for AI in the Education Industry in Brunei Darussalam
- Frequently Asked Questions
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Unlock new career and workplace opportunities with Nucamp's Brunei Darussalam bootcamps.
Why AI Matters for Education in Brunei Darussalam
(Up)AI matters for education in Brunei because it can turn national ambitions into everyday classroom gains: from adaptive tutors that tailor pathways to each learner to back‑office automation that frees teachers for mentoring and project work.
Research highlights AI's core strengths - personalized learning, richer engagement, and administrative efficiency - while flagging real risks like privacy, bias and the digital divide, so policy and teacher training must move in step with tech adoption (see the BytePlus overview on AI in education and EY's roadmap for governments).
Locally relevant pilots - such as Intelligent Tutoring Systems for Malay‑English learners that deliver step‑by‑step algebra support and instant feedback at scale - show how practical tools can raise outcomes without replacing teachers; instead they reallocate time toward human tasks that matter.
The “so what?” is simple: when Brunei pairs clear governance and infrastructure with teacher upskilling, AI becomes a multiplier - helping every student get the right practice at the right time while shrinking routine admin work that currently eats into teaching hours.
| Metric / Outcome | Value (from Darussalam Assets case) |
|---|---|
| Hiring efficiency | 4x more efficient |
| Reduction in recruitment duration | 75% reduction |
| Time to hire (healthcare professional) | Now 4 weeks (previously 4–6 months) |
“As a large and diversified organisation, our adoption of SAP SuccessFactors solutions transformed HR's impact on the business.” - Salehin Basir, Senior Human Capital Development Manager, Darussalam Assets Sdn Bhd
What Is AI Used For in Brunei Darussalam in 2025?
(Up)In 2025 Brunei's classrooms and campuses are putting AI to work across a clear set of use cases: personalized and adaptive learning that tailors pathways to each student, intelligent tutoring systems that deliver step‑by‑step algebra help and instant feedback at scale, predictive student‑performance analytics, automated content creation and assessment, and back‑office automation to free teachers for mentorship and projects - a market breakdown is documented in the 6Wresearch Brunei AI in Education report.
Deep learning and advanced machine‑learning models are the engine behind many of these tools, powering real‑time adaptation, pattern recognition and recommendation systems that turn interaction data into smarter learning flows (see the BytePlus deep learning overview).
Local pilots show the practical mix of technologies and pedagogy: Intelligent Tutoring Systems for Malay‑English learners provide concrete examples of adaptive practice and instant feedback that scale classroom attention without replacing teachers (Intelligent Tutoring Systems for Malay‑English learners), while universities and EdTech vendors explore LLM deployment and NLP for content and admin automation - so the “what” is broad, but the through‑line is simple: AI is being used to personalise learning, speed insights, and cut routine work so educators can focus on high‑value human tasks.
| Primary Use | Concrete Example | Core Tech |
|---|---|---|
| Personalized / Adaptive Learning | Intelligent Tutoring Systems for Malay‑English learners | Deep Learning, ML, Adaptive Algorithms |
| Student Performance Analysis | Predictive analytics for early intervention | Machine Learning, Data Analytics |
| Content Creation & Assessment | Automated question generation and grading | NLP, LLMs |
| Administration & Efficiency | Automated scheduling, reporting and HR processes | AI Algorithms, Automation Tools |
“AI breaks the mold of most machines and systems humans have designed and dealt with throughout history” - Thomas Arnett, Clayton Christensen Institute
Where Is AI in Brunei Darussalam's Education System in 2025?
(Up)Where is AI in Brunei Darussalam's education system in 2025? It's already visible across policy, classroom pilots and campus labs: the Ministry of Education's Digital Transformation roadmap and its EdTech Centre are pushing infrastructure, blended learning tools like MOE TV and the Digital Resources Management System, and teacher upskilling through the Brunei Darussalam Leaders and Teachers Academy, while schools and STEP Centre programmes are piloting adaptive tools and robotics; at the university level Universiti Brunei Darussalam's SDS showcased RoboTeach - a humanoid robot coded with local knowledge and an LLM (Llama) that interacts via speech and gestures at a National Teachers' Day exhibit attended by national leaders - illustrating hands‑on R&D that's moving prototypes into classroom demos (see UBD's RoboTeach exhibit).
Industry and platform partners are also surfacing: BytePlus and other vendors outline how LLM deployment, model management and administrative automation are being explored to scale personalised learning and cut routine admin work.
Taken together, the picture in 2025 is mixed but progressive: central coordination and policy exist alongside real-school pilots, university labs and an emphasis on teacher capacity, with connectivity upgrades (notebooks, National Education Network) and data‑protection frameworks forming the practical backbone for wider adoption (see the national technology profile and BytePlus overview for detail).
| Site | Examples / Role |
|---|---|
| Ministry of Education | Digital Transformation Plan, EdTech Centre, DRMS, MOE TV |
| Schools & STEP Centre | Pilots in blended learning, adaptive tools, robotics programmes |
| Universities (UBD) | RoboTeach exhibit, SDS hands‑on AI & robotics R&D |
| Vendors & Platforms | LLM deployment, model management and admin automation (BytePlus) |
“the technology for teaching and learning to improve student outcomes, enhance individualised and personalised education, and improve teaching effectiveness”.
What Are the AI Guidelines for Brunei Darussalam?
(Up)Brunei's approach to AI in education is intentionally practical and ethical: Universiti Brunei Darussalam has codified a campus‑wide set of rules - captured in its 2023 “Policy and Guidelines on Generative Artificial Intelligence (GenAI)” - that stresses ethical use, transparency, data privacy and clear responsibilities for educators and students, and even saw His Majesty sign a copy at UBD's Teachers' Day exhibit (UBD Policy and Guidelines on Generative AI (GenAI) and Teachers' Day exhibit).
Complementing institutional policy, international best practice for scholarly work - such as the SRCD guidance on generative AI - underscores concrete steps that Brunei institutions can adopt: disclose when and how AI tools were used, retain accountability for AI‑generated content, avoid listing AI as an author, and guard against hallucinations, bias and IP issues (SRCD guidance on Generative Artificial Intelligence (GenAI) policy for scholarly work).
The upshot for schools and universities is straightforward: pair clear governance (policy, disclosure and data protections) with educator training and micro‑credentials so AI augments pedagogy without undermining academic integrity - a model Brunei is already piloting through staff workshops and C3L modules that translate policy into classroom practice.
| Guideline Area | Key Requirement |
|---|---|
| Ethics & Transparency | Declare AI use in teaching, assessment and research |
| Data Privacy | Protect student data and ensure responsible handling |
| Accountability | Humans remain responsible for AI outputs; do not credit AI as author |
| Quality & Bias | Guard against hallucinations, misinformation and biased training data |
| Capacity Building | Embed training (workshops, micro‑credentials) to operationalise policy |
“The future is always a lot closer than we think,” UBD Vice‑Chancellor Dr Hazri Haji Kifle said.
Key Statistics for AI in Education in Brunei Darussalam (2025)
(Up)Key statistics for AI in education in Brunei Darussalam show concrete scale and ambition in 2025: the AI Ready ASEAN Programme will engage 20,000 people in Brunei as part of a larger 5.5 million‑person regional goal, and the launch at Mawaddah Hall included an interactive “Hour of Code” workshop to kickstart hands‑on learning (see the UTB launch details).
The programme's training‑of‑trainers model targets 2,000 master trainers who can cascade AI literacy to hundreds of thousands - an explicit cascade figure of about 800,000 community members is cited for regional reach - while a 2024 market snapshot noted Southeast Asia attracted roughly USD 30 billion in AI investments, with potential to lift ASEAN GDP by 10–18% by 2030, underscoring why these upskilling targets matter.
For educators, these national numbers translate into classroom impact - more trained teachers, more exposure to practical activities and stronger pipelines for tools like Intelligent Tutoring Systems that deliver step‑by‑step algebra support at scale (see the AI Ready ASEAN programme overview and local EdTech examples for classroom use).
| Metric | Value |
|---|---|
| Brunei target (AI Ready ASEAN) | 20,000 individuals |
| ASEAN regional target | 5.5 million individuals |
| Master trainers (Training‑of‑Trainers) | 2,000 trainers |
| Cascade community reach | ~800,000 people |
| 2024 AI investment in SEA | USD 30 billion |
| Projected ASEAN GDP uplift by 2030 | 10–18% |
“Let this moment not just be the start of a programme, but the continuation of a meaningful partnership, where Brunei plays a central role in shaping a digitally capable, ethically aware ASEAN society.” - Mr. Diera Gala Paksi, Project Manager for AI Ready ASEAN
Case Study - Universiti Brunei Darussalam (UBD) in Brunei Darussalam
(Up)Universiti Brunei Darussalam (UBD) has turned academic ambition into concrete programmes: the School of Digital Science now offers a Bachelor of Digital Science with practical majors such as Computer Science, Data Science, Artificial Intelligence & Robotics and a three‑year Applied Artificial Intelligence pathway designed to produce industry‑ready graduates, backed by a collaboration with Coursera that layers professional certifications onto degree study - details are available on UBD Bachelor of Digital Science programme page and the press coverage of the UBD Applied AI launch.
The School's outreach (for example, SDS open days) and its growing research portfolio show a clear pipeline from hands‑on labs to classroom learning, while entry standards (from GCE O‑Level and A‑Level thresholds to IELTS alternatives) keep the programme academically rigorous yet accessible for qualified local and international applicants; imagine students moving from data‑science workshops straight into accredited micro‑credentials that employers recognise, shortening the path from classroom to paid work in Brunei's tech ecosystem.
For Brunei's education sector this case study matters because it pairs curriculum, industry links and credentialing in a way that can scale teacher and student capacity for AI across the country.
| Attribute | Details |
|---|---|
| Programme | Bachelor of Digital Science (majors incl. Applied Artificial Intelligence) |
| Level / Duration | Undergraduate; Applied Artificial Intelligence - 3 years |
| Majors | Computer Science, Data Science, AI & Robotics, Cybersecurity & Forensics, Applied AI |
| Entry highlights | GCE O‑Level English Grade C6 or equivalent (IELTS 6.0); maths requirement for O‑Level |
| Industry link | Collaboration with Coursera for professional certifications |
“I hope that this [new programme] will make graduates more industry-ready, giving them a better chance of securing a job locally or abroad, and make them more independent and able to create job opportunities.”
AI Skills, Training and Programmes Available in Brunei Darussalam
(Up)Brunei's AI skills ecosystem is rapidly maturing around a hub of practical, career‑focused offerings that blend classroom study, micro‑credentials and hands‑on labs: Universiti Brunei Darussalam's School of Digital Science now runs a three‑year Bachelor of Digital Science with an Applied Artificial Intelligence major that celebrated its inaugural cohort of six graduates in August 2025 and layers industry certificates from Coursera partners like IBM and Google onto degree study (read UBD's overview of cutting‑edge programmes).
Short courses, micro‑credentials and lifelong‑learning modules through UBD's C3L and Teaching & Learning Centre make it easy for teachers, government officers and entrepreneurs to pick up prompt skills, LLM awareness and practical AI tools, while the Intelligent Systems Lab turns projects - LLM integrations, continual‑learning pipelines and a NAO robot demo shown to His Majesty during National Teachers' Day - into portfolio work and industry collaborations (see the School of Digital Science newsletter for context).
For schools and institutions this means clear pathways: stackable credentials, on‑campus mentorship, and vendor‑aligned certifications that help educators move from passive awareness to building, evaluating and governing AI in classrooms and admin workflows - creating the next wave of locally trained AI practitioners who can deploy tools responsibly at scale.
| Programme / Offer | Mode / Key Detail |
|---|---|
| Bachelor of Digital Science (Applied AI) | Three‑year degree; cohort of six inaugural graduates; Coursera professional certs |
| Master of Digital Public Health | Flexible (full/part/online); applied digital health projects |
| Short courses & micro‑credentials (C3L, TLC) | Targeted upskilling for teachers, officers and professionals |
| Intelligent Systems Lab R&D | LLM projects, NAO robot demos, industry collaborations |
“This first cohort of Applied AI graduates marks an important milestone… These students represent the next generation of innovators, equipped with the technical knowledge, critical thinking skills, and adaptability to drive transformation in industry and society.” - Senior Professor Dr Chandratilak De Silva Liyanage, Dean, School of Digital Science
Practical Implementation Checklist for Brunei Darussalam Schools & Institutions
(Up)Turn policy into practice with a short, Brunei‑specific checklist: start by mapping every AI use case and the data it needs, then test them against Brunei's Voluntary AI Guide - the seven principles of transparency & explainability, security & safety, fairness & equity, and data protection & governance provide a clear ethical filter (Brunei's Voluntary AI Guide); align procurement and contracts with the Personal Data Protection Order 2025 and nominate an institutional data‑protection lead to ensure compliance (PDPO 2025 and national legal updates).
Pilot small, teacher‑led trials (evaluate for bias, explainability and classroom fit), require transparent disclosure of AI use to students and parents, and keep humans accountable for decisions; embed governance checkpoints - risk assessment, incident logging and vendor model‑management clauses - before scaling.
Invest in stackable training (micro‑credentials, peer coaching and master‑trainer cascades) so staff can audit outputs and adapt prompts or datasets safely, and treat automation as time freed for mentorship and project‑based learning rather than a replacement.
Above all, iterate quickly: short pilots with clear evaluation criteria let schools discover whether a tool actually improves learning or simply shifts work - so Brunei's schools can scale what works, retire what doesn't, and protect students while unlocking AI's practical gains.
“The future is always a lot closer than we think,” UBD Vice-Chancellor Dr Hazri Haji Kifle said.
Conclusion & Next Steps for AI in the Education Industry in Brunei Darussalam
(Up)Brunei's AI journey in education is now at a pragmatic inflection point: homegrown capacity - exemplified by Universiti Brunei Darussalam's inaugural cohort of six Applied AI graduates and hands‑on lab work like the NAO/LLM demos shown to His Majesty - gives the country a foothold to move from pilots to scale, even as external trackers note that AI initiatives remain less documented than in bigger markets (see Brunei overview).
Next steps are clear and actionable for ministers, school leaders and institutions: anchor every pilot in transparent policy, prioritise teacher and staff upskilling through stackable, workplace‑focused programmes, and channel university R&D into tested products that serve local priorities under Wawasan 2035 and the Digital Economy Masterplan (read UBD's programme summary).
Practical short courses and bootcamps that teach promptcraft, evaluation and deployment - such as a 15‑week AI Essentials for Work pathway - can bridge classroom practice and admin efficiency quickly, freeing educators to focus on mentoring while ensuring ethical, accountable use of AI across Brunei's schools and campuses.
| Attribute | Details |
|---|---|
| Bootcamp | AI Essentials for Work |
| Length | 15 Weeks |
| Cost (early bird) | $3,582 |
| Register / Syllabus | Register for Nucamp AI Essentials for Work bootcamp • AI Essentials for Work syllabus - Nucamp |
“The future is always a lot closer than we think,” UBD Vice-Chancellor Dr Hazri Haji Kifle said.
Frequently Asked Questions
(Up)What AI use cases are being adopted in Brunei Darussalam's education sector in 2025?
In 2025 Brunei classrooms and campuses use AI for personalized and adaptive learning (e.g., Intelligent Tutoring Systems for Malay‑English learners), predictive student‑performance analytics for early intervention, automated content creation and assessment (NLP and LLMs for question generation and grading), and back‑office automation (scheduling, reporting, HR processes). Core technologies include deep learning, machine learning, adaptive algorithms, LLMs and NLP.
What policies and guidelines govern AI use in Brunei education?
Brunei institutions pair practical governance with ethical rules. Universiti Brunei Darussalam's 2023 "Policy and Guidelines on Generative Artificial Intelligence" requires ethical use, transparency, data privacy and human accountability. International scholarly best practice (e.g., disclose AI use, avoid crediting AI as an author, guard against hallucinations and bias) is recommended. Schools should align procurement and operations with the Personal Data Protection Order 2025 and adopt measures for disclosure, incident logging, model‑management clauses and staff training.
What AI skills, degrees and training pathways are available locally?
Local pathways include Universiti Brunei Darussalam's Bachelor of Digital Science (three‑year Applied Artificial Intelligence major) with Coursera professional certifications, short courses and micro‑credentials via UBD's C3L and Teaching & Learning Centre, hands‑on R&D in the Intelligent Systems Lab (LLM and robot demos), and industry‑aligned short programmes. These stackable options let teachers and professionals move from prompt awareness to building, evaluating and governing AI tools.
How should schools and institutions implement AI responsibly in practice?
Follow a Brunei‑specific checklist: map every AI use case and required data; test against ethical principles (transparency, safety, fairness, governance); align procurement with PDPO 2025 and nominate a data‑protection lead; run small teacher‑led pilots with evaluation for bias, explainability and classroom fit; require transparent disclosure to students and parents; include governance checkpoints (risk assessments, incident logs, vendor model‑management clauses); invest in stackable training (micro‑credentials, master‑trainer cascades); and iterate quickly - scale what improves learning and retire what doesn't.
What are the key 2025 statistics and practical training options such as the Nucamp bootcamp?
Key 2025 figures: the AI Ready ASEAN Programme targets 20,000 people in Brunei (regional target 5.5 million), trains 2,000 master trainers with a cascade reach of ~800,000, Southeast Asia drew ~USD 30 billion in AI investment in 2024, and ASEAN AI could lift GDP by 10–18% by 2030. Local milestones include UBD's inaugural Applied AI cohort of six graduates. For workplace‑focused skills, Nucamp's AI Essentials for Work bootcamp is a 15‑week practical pathway (Foundations, Writing AI Prompts, Job‑Based Practical AI Skills) with an early‑bird cost of $3,582, designed to teach promptcraft and real business use cases to turn national ambitions into classroom and admin tools.
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Ludo Fourrage
Founder and CEO
Ludovic (Ludo) Fourrage is an education industry veteran, named in 2017 as a Learning Technology Leader by Training Magazine. Before founding Nucamp, Ludo spent 18 years at Microsoft where he led innovation in the learning space. As the Senior Director of Digital Learning at this same company, Ludo led the development of the first of its kind 'YouTube for the Enterprise'. More recently, he delivered one of the most successful Corporate MOOC programs in partnership with top business schools and consulting organizations, i.e. INSEAD, Wharton, London Business School, and Accenture, to name a few. With the belief that the right education for everyone is an achievable goal, Ludo leads the nucamp team in the quest to make quality education accessible

