Our Programmes

AiRK's flagship practitioner programme, assessed through live cohort participation and capstone work.

• Apply AI tools to real role-based workflows
• Build practical assets you can keep using after the cohort
• Work through governance, review, and team adoption questions

A short, direct workshop for people who already use AI tools but want better output from them.

• Write prompts for research, drafting, review, and analysis
• Structure prompts for repeatable work quality
• Improve outputs with context, constraints, and examples

A practical starting point for teams that need AI literacy before they buy tools or redesign workflows.

• Identify where AI helps and where it does not
• Use leading AI tools for drafting, summarising, and research
• Write prompts that save time on routine work

For business teams that need a practical way to use generative AI in day-to-day execution.

• Apply generative AI to documents, emails, and reporting
• Set guardrails for team-wide usage
• Build repeatable workflows for recurring tasks

A workflow course for teams that want AI automations without building a software team first.

• Map repetitive work that is worth automating
• Build simple no-code AI workflows
• Connect forms, sheets, and notifications to AI steps

For HR teams that need faster hiring, better documentation, and cleaner people insights.

• Use AI for JD drafting, screening, and interview prep
• Summarise feedback and training data responsibly
• Build people analytics views without overclaiming certainty

A practical course for content, campaign, and communications teams that need output without chaos.

• Draft campaign assets faster without losing review control
• Turn briefs into repeatable content workflows
• Create review checklists for accuracy and tone

For builders who want to move faster with AI assistance but keep review discipline in place.

• Use AI to draft, review, and refactor code
• Scope tasks so AI outputs stay reviewable
• Speed up prototypes without losing traceability

A direct executive workshop on where AI fits, what to buy, and what to govern.

• Review AI use cases against business priorities
• Ask the right questions before procurement
• Set ownership, review, and governance lines

For healthcare teams that need documentation, process, and decision support workflows handled carefully.

• Use AI for drafting, documentation, and patient communication support
• Identify safe boundaries for clinical and non-clinical use
• Reduce admin load in repeatable workflows

For teams that need to clean, interpret, and present data faster without skipping judgement.

• Use AI to clean and structure messy data faster
• Analyse trends, anomalies, and summaries with review
• Draft clear decision notes from analysis

A practical finance course for reporting, review, and workflow support in regulated environments.

• Use AI for reporting drafts, reviews, and trend checks
• Support forecasting and anomaly review workflows
• Document controls around accuracy and approval

A governance-first course for organisations that need policy, review, and accountability before scale.

• Review AI risks across data, bias, and accountability
• Build a simple governance model for internal use
• Write review checkpoints into operating workflows

A specialist build course for teams that need multi-step agent workflows tied to real systems.

• Design agent workflows with clear task boundaries
• Connect tools, data, and checkpoints into one flow
• Supervise outputs with human review where needed

An advanced governance track for professionals responsible for AI policy, risk, and oversight.

• Interpret governance standards in practical terms
• Build oversight workflows for internal adoption
• Document accountability and review requirements

A technical specialist track for teams building internal AI assistants, search, or knowledge workflows.

• Build retrieval pipelines around real documents
• Choose chunking, prompts, and evaluation steps carefully
• Connect models to internal knowledge safely

A practical track for teams exploring internal AI assistants and knowledge workflows.

• Scope assistant use cases
• Review data and workflow readiness
• Prototype practical assistant flows

A short specialist course on recognising bias risks before they become operational problems.

• Spot where bias enters AI workflows
• Review datasets, prompts, and outputs for risk
• Write mitigation steps into team processes

A short specialist business course for teams that need to map AI to actual work.

• Find simple business use cases worth trying first
• Estimate value without inflated claims
• Draft workflow changes around people, tools, and review

A short specialist course on building culturally aware AI-assisted communication and review workflows.

• Review outputs for cultural fit and language sensitivity
• Avoid blunt or imported assumptions in local contexts
• Build review steps into multilingual workflows

A short specialist course for IT teams that need practical monitoring and response workflows.

• Use AI to improve monitoring and triage workflows
• Draft incident summaries and response steps faster
• Spot repeat issues that deserve automation

A short specialist operational course for industrial teams that need maintenance planning support.

• Identify maintenance signals worth tracking
• Use AI to spot patterns in service records
• Support scheduling and escalation decisions

A free AI literacy entry track for early-career learners who need a first step before a paid cohort.

• Understand core AI concepts without jargon
• Use basic tools for study and early work tasks
• Build confidence before joining a deeper cohort

A free AI literacy entry track for teachers who need a practical first step.

• Understand where AI helps in teaching work
• Use tools for planning and drafting responsibly
• Build confidence with prompts and review habits

A low-cost AI literacy entry track for workforce readiness and sponsorship-friendly intake.

• Understand practical AI use in common work settings
• Use basic tools for drafting and information handling
• Build first-step AI confidence before a longer cohort