Self-paced AI courses · Singapore
Learn AI by doing, one short step at a time.
Start with AI chat, useful prompts and everyday tasks. Follow a path into coding, data and agents through guided examples, experiments and projects.
- courses
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- lessons
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- to start
- Free
Turn a vague request into a clear prompt
Fill in the parts. The checklist reacts as you type.
Fill in the fields to assemble a prompt.
- Clear task with an action verbSay exactly what you want done, e.g. "Summarise this notice in 5 bullet points".
- Enough contextAdd who it's for and why — the AI can't see your situation.
- Output format statedName the shape: bullet list, table, 100-word email…
- Limits or checks givenAdd tone, length, or "say if you're unsure".
- No personal identifiers
What you'll learn to do
What would you like to do with AI?
Choose something useful to you. Start with the basics or follow the prerequisites into technical work.
AI chat, models and prompting
Turn a vague request into a clear prompt, compare answers and spot claims that need checking.
- Level:
- Beginner · no coding needed
- Now:
- Checking…
Start:- AI, without the mystery
- Get better answers
Go deeper:- Transformers and adapting language models
- Evaluations, experiments and evidence for AI quality
Everyday AI and personal assistants
Make a realistic plan, improve a message and practise a skill while keeping the final decision yours.
- Level:
- Beginner · prompting basics first
- Now:
- Checking…
Start:- Make room for what matters
Preparation:- AI, without the mystery
- Get better answers
Research and knowledge assistants
Trace an answer to its sources, check what the evidence supports and build a useful research brief.
- Level:
- Beginner → technical
- Now:
- Checking…
Start:- Find the answer. Keep the evidence.
Go deeper:- Build an AI feature you can inspect
- Retrieval and grounded AI applications
RAG (retrieval-augmented generation): giving a language model relevant documents to work from.
Data analysis and machine learning
Check a dataset and its calculations, then learn how to test predictions on examples a model has not seen.
- Level:
- Intermediate → technical · Python for deeper work
- Now:
- Checking…
Start:- Better work, checked data
Go deeper:- Python, data and statistical reasoning for AI
- Machine learning that survives new data
- Neural networks: build, train and diagnose
Coding and AI applications
Read and test small Python programs, check structured outputs and build an AI feature you can inspect.
- Level:
- Some Python needed
- Now:
- Checking…
Start:- Build an AI feature you can inspect
Go deeper:- Python, data and statistical reasoning for AI
- Transformers and adapting language models
- Retrieval and grounded AI applications
New to coding? A first-code starter is planned.
Agents, tools and automation
Design a tool-using assistant that asks before acting, stays within limits and recovers when a step fails.
- Level:
- Technical · Python and retrieval basics
- Now:
- Checking…
Start:- Agents, tools and MCP with controlled actions
Preparation:- Build an AI feature you can inspect
- Python, data and statistical reasoning for AI
- Retrieval and grounded AI applications
MCP (Model Context Protocol): a standard way for AI applications to connect to tools.
Images, audio and documents
Check extracted text, flag unclear details and keep a trail back to the original image, recording or document.
- Level:
- Beginner → technical
- Now:
- Checking…
Start:- Make room for what matters
Go deeper:- Multimodal AI: images, audio and documents
Multimodal AI works with more than one kind of information, such as text, images and audio.
Reliable and responsible AI
Test whether an AI result is useful, handle private information carefully and decide where human review belongs.
- Level:
- Beginner → specialist
- Now:
- Checking…
Start:- AI, without the mystery
- Find the answer. Keep the evidence.
- Better work, checked data
Go deeper:- Evaluations, experiments and evidence for AI quality
- AI product discovery, experience and business value
Planned:- Deployment, MLOps, reliability and costPlanned
- AI privacy and security engineeringPlanned
- Responsible AI governance and organisational adoptionPlanned
Deployment, security and organisational governance are planned next.
Curious about how it works?
- Neural networks
- — models that learn patterns from data
- LLMs
- — large language models, studied through a small runnable model
- RAG
- — retrieving documents to support a model's answer
- MCP
- — connecting AI applications and tools
- MLOps
- — running, monitoring and maintaining modelsPlanned
A serious AI education — without the jargon
AI is reshaping how Singapore works, studies, and creates. AIExpert.sg turns that change into capability: six free courses with worked examples, hands-on activities, chapter checkpoints and course finals — practice that builds real habits, not just talk.
What learning here looks like
Skills practised step by step, with completion you can show.
Practise real tasks
Each chapter has a worked example and a hands-on activity, so you practise choosing a tool, framing a question and checking the result.
Think critically, verify rigorously
Spot hallucinations, bias, deepfakes, and weak sources — and practise a simple habit for checking what you read.
Protect data, people, and trust
Handle confidential information, IP, and customer data the right way. Practise safe defaults before you use AI with real information.
A route built from your goals
Tell us what you want AI to help with. We suggest an editable route of free courses with prerequisites first — never based on your age, job or family role.
Six free launch courses
From your first look at AI to building an inspectable AI feature. Advanced courses are on the roadmap, not yet available.
How a course works
Read, practise, check yourself, then take the course final. A completion certificate records the course, version, date, your result and the skills you practised.
- 1
Sign in
Create your free account with Google.
- 2
Tell us your goal
Answer a few questions about what you want to do, your experience and how you like to learn.
- 3
Get a recommended path
See which free courses fit your goals and why — change or skip the suggestion any time.
- 4
Practise with real tasks
Complete lessons, prompts, activities, projects, and quizzes.
- 5
Earn a certificate of completion
Complete the requirements and pass the final assessment.
AI Learning Champions
Celebrate learners who are building practical AI literacy with consistency, curiosity, and responsible-use habits.
No learners are sharing their progress publicly yet. Opt in from your dashboard to be the first.
Leaderboard participation is optional. Learners appear only if they choose to share their progress publicly. Scores reflect AIExpert.sg platform activity and are intended for learning motivation only. Leaderboard rankings are not academic results, employment credentials, or official qualifications.
Responsible AI, woven into every track
We don't bolt safety on at the end. From your first lesson, you learn to verify outputs, protect sensitive data, recognise manipulation, and keep humans accountable for the decisions that matter.
- Question AI outputs before relying on them.
- Check sources for important claims.
- Avoid sharing sensitive personal, school, client, or company data in unapproved tools.
- Recognise scam patterns, voice cloning risks, and deepfake warning signs.
- Use AI as an assistant, not a replacement for human responsibility.
Designed for Singapore. Aligned to how we work.
Curriculum, examples, and case studies are rooted in the Singapore context — from SME operations and public-sector workflows to classroom use and everyday life. Independent, rigorous, and built to complement national efforts to raise AI capability across society.
Earn a certificate that reflects real work
Complete the required lessons, pass practice checkpoints, and clear the final assessment to earn the AIExpert.sg Certificate of Completion — proof that you've put in the practice, not just the time.