Learning Pathways

Structured programmes from first concepts to capstone review

AILearnPath offers six sequential pathways designed for curious adults who want practical AI literacy without exaggerated promises. Each programme states honest prerequisites, realistic duration and transparent fee ranges before you enrol. Pathways combine instructor-led sessions at our Telok Ayer campus with guided lab work — not passive video libraries or income-oriented funnels.

How pathways work

Modular progression with clear scope

Pathways are numbered ALP-101 through ALP-601 to reflect a logical learning sequence, though experienced learners may enter at ALP-201 or ALP-301 after a prerequisites assessment. Cohorts run throughout 2026 with hybrid delivery: core concepts in the classroom, exercises in our lab environment, and optional recap sessions listed under Labs. We do not guarantee employment outcomes, professional licensure or university credit. What we do provide is structured teaching, accountable instructors and coursework you can demonstrate in a portfolio-ready capstone.

Fees shown are indicative ranges for standard cohort enrolment in 2026 and include lab access during the programme period. Corporate or customised cohort pricing is quoted separately. All programmes include responsible-AI framing — computational models are taught as statistical systems, not as analogues of human neuroscience.

Programme catalogue

Six pathways for 2026 cohorts

Learners at laptops studying AI foundations

ALP-101

AI & Machine Learning Foundations

Your entry point into structured AI literacy. This programme introduces what machine learning actually is — pattern recognition from data, not magic or human-like reasoning. You will work through supervised and unsupervised learning concepts, train simple models on curated datasets, and interpret results with appropriate scepticism. Sessions cover data splits, overfitting, basic evaluation metrics and when a model should not be deployed. No prior coding experience is required, though comfort with spreadsheets and logical thinking helps. This is an educational foundation programme, not a job-placement scheme.

Prerequisites: None Duration: 4 weeks · 24 contact hours S$380 – S$480

Python code on screen during data preparation lab

ALP-201

Python for AI & Data Preparation

Practical Python skills for learners who understand AI concepts but need hands-on data preparation competence. You will write readable scripts for loading, cleaning and transforming tabular data using pandas and NumPy, with emphasis on reproducible workflows rather than clever one-liners. Exercises include handling missing values, encoding categorical variables, exploratory visualisation and documenting data lineage — skills every downstream ML step depends on. The programme does not attempt to turn you into a software engineer; it equips you to participate meaningfully in AI projects and understand what practitioners mean when they discuss pipelines and feature stores.

Prerequisites: ALP-101 or equivalent assessment Duration: 5 weeks · 30 contact hours S$420 – S$540

Cohort workshop on prompt engineering and LLM literacy

ALP-301

Prompt Engineering & LLM Literacy

Large language models are now part of everyday work, yet most people use them without understanding their limitations. This programme teaches structured prompting, context management, output verification and cost-aware usage patterns for tools such as ChatGPT, Claude and open-weight models. You will practise chain-of-thought framing, system prompts, retrieval-augmented workflows and red-teaming your own outputs for hallucinations. We emphasise that LLMs predict text — they do not understand, remember or reason in a human sense. Suitable for professionals who want to use these tools responsibly in writing, analysis and prototyping tasks.

Prerequisites: ALP-101; ALP-201 recommended Duration: 3 weeks · 18 contact hours S$320 – S$420

Instructor leading a responsible AI ethics discussion

ALP-401

Responsible AI & Ethics Workshop

A focused workshop on the governance, bias and societal implications of deploying AI systems in Singapore and beyond. Through case studies and facilitated discussion, you will examine fairness metrics, transparency requirements under evolving regulation, data privacy under the PDPA, and the difference between explainability and post-hoc rationalisation. The workshop includes practical exercises in bias auditing, stakeholder mapping and writing model cards. This is not legal advice — we connect you with frameworks and questions to raise with your organisation's compliance team. Open to any learner who has completed ALP-101; technical depth from ALP-201 is helpful but not mandatory.

Prerequisites: ALP-101 minimum Duration: 2 days · 12 contact hours S$280 – S$360

Hands-on generative AI coding project in the studio

ALP-501

Generative AI & Practical Projects

Move from prompting literacy to building small generative-AI applications with clear scope boundaries. Projects may include text-to-image pipelines, simple fine-tuning workflows, RAG prototypes and API integration patterns using contemporary tools. Each project is scoped to complete within the programme window — we deliberately avoid sprawling ambitions that collapse under technical debt. You will document model choices, evaluate output quality with rubrics, and present a honest assessment of what worked and what did not. This programme prepares you for the capstone but does not promise commercial-ready products or investor-grade demos.

Prerequisites: ALP-201 and ALP-301 Duration: 6 weeks · 36 contact hours S$580 – S$720

Capstone project review with instructors and peers

ALP-601

Integrated AI Literacy Capstone

The culminating pathway where you synthesise skills from prior programmes into a portfolio project reviewed by instructors and peers. You will define a problem statement, prepare data, select appropriate methods, build a demonstrable artefact and write a reflective report covering limitations and responsible-AI considerations. Capstone review is structured and constructive — we assess your reasoning process, not whether your model tops a leaderboard. Successful completion earns an AILearnPath certificate of completion, which documents educational attainment rather than professional certification or academic credit. Mentoring hours are included; additional support is available via Lab services.

Prerequisites: ALP-401 and ALP-501 Duration: 8 weeks · 40 contact hours S$680 – S$860

Education disclaimer. AILearnPath is a vocational learning academy registered in Singapore (UEN 202984731M). Our pathways provide structured education in AI literacy and practical skills. Completion does not confer university degrees, government licences, professional certifications or guaranteed employment. Fee ranges are indicative for 2026 standard cohorts and may vary for corporate bookings. Neural network terminology on this site refers to computational architectures, not biological neuroscience. For enrolment questions, contact [email protected].

Ready to choose your starting pathway?

Book a prerequisites assessment or speak with our team about which ALP module fits your current experience level.

Begin learning