Course catalogue

Eight focused courses with LAB codes, designed for modular learning. Combine courses into a full pathway or take individual modules aligned to your immediate needs. All sessions emphasise bench work over passive instruction.

Learners working hands-on with laptops during an AI foundations session
Foundations LAB-101

AI Foundations for the Lab Bench

From S$450

Establish core AI literacy before specialised labs. Covers how large language models work at a conceptual level, common terminology, appropriate use cases and limitations. Includes hands-on exercises with everyday AI assistants and introduces our lab documentation standards. Suitable for professionals new to AI who need a structured starting point before advancing to prompting or workflow courses.

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Whiteboard showing structured prompt frameworks during a training session
Prompting LAB-201

Structured Prompt Engineering

From S$680

Move from trial-and-error to documented prompt design. Learn context framing, role assignment, output formatting, iteration cycles and validation techniques. Build a personal prompt library with version notes. Exercises use anonymised tasks from your professional context. Ideal for analysts, writers and operations staff who produce regular AI-assisted outputs.

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Sticky notes arranged on a board during workflow mapping exercise
Workflows & Automation LAB-301

Workflow Automation Essentials

From S$820

Map existing processes and identify where AI assistance adds genuine value. Design workflows with clear human checkpoints, approval stages and error handling. Address data sensitivity and PDPA considerations when AI processes personal or business data. Includes sandbox review of your anonymised workflow design with facilitator feedback.

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Facilitator reviewing AI tool outputs on screen with a learner
Productivity Tools LAB-401

AI Productivity Tools Mastery

From S$750

Evaluate and configure AI productivity tools for your role. Compare writing assistants, research interfaces, automation connectors and analysis platforms using a structured scorecard. Build a documented tools stack with clear guidance on when each tool is appropriate. Covers licensing, data handling and organisational policy alignment without endorsing specific vendors.

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Generic data visualisation displayed during a data literacy workshop
Data Literacy LAB-501

Data Literacy for AI Practitioners

From S$720

Understand how data quality affects AI outputs. Learn to assess datasets for bias indicators, completeness and appropriateness before feeding them to AI tools. Covers basic statistical literacy, visualisation interpretation and common pitfalls when AI generates charts or summaries from incomplete data. No advanced mathematics required.

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Workshop facilitator leading a discussion with professionals in a training room
AI for Managers LAB-601

AI for Team Leads

From S$890

Practical guidance for managers adopting AI within their teams. Covers setting appropriate use policies, evaluating team readiness, running pilot programmes and communicating limitations to stakeholders. Includes exercises on drafting team guidelines and facilitating responsible AI discussions without over-promising organisational outcomes.

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Planning documents and blueprint-style materials on a desk during governance session
AI Governance LAB-701

Responsible AI & Governance

From S$950

Navigate responsible AI adoption with attention to PDPA compliance, bias awareness, transparency requirements and human oversight. Learn to draft use policies, conduct basic risk assessments and establish review processes for AI-generated outputs. Aligned with Singapore's AI governance discourse — without claiming formal regulatory accreditation.

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Small group reviewing a capstone project presentation with anonymised data on screen
Capstone LAB-801

Capstone Project Studio

From S$1,450

Apply prompting, workflow and tools techniques to an anonymised project from your organisation. Work with an assigned mentor through fortnightly check-ins, document your methodology and present findings for structured peer and facilitator review. Prerequisite: at least two prior LAB courses or equivalent experience. Emphasis on honest limitation statements and transferable methods.

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Prices shown are indicative. Final fees depend on cohort format (live / self-paced / in-house), group size, and any tailoring required for your organisation. We do not guarantee employment, income or specific career outcomes; participants are expected to apply the skills in their own context.

AI disclaimer: The AI tools and techniques taught in our programmes assist professional workflows and decision-making. They do not replace specialist professional advice. Outputs of AI systems can be inaccurate and should always be reviewed by a qualified human.