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Three programs. One promise - capability you can show.

Pick the format that fits your team's size and stage. All three end in the same place: people who can do AI-touched work well, and an evidence pack that holds up.

Program · Roadmap

Map → Train → Evidence

WEEK 2
3 stages · shipped in weeks See services →
The three shapes

One promise, three formats.

Team Engagement

Bespoke program for one team (5-40 people). Designed around the AI work they actually do. Best for teams that want fluency *and* a starting evidence pack.

Team Engagement

Enterprise Program

Multi-team rollout for orgs with scale (100+). Role-specific tracks, train-the-trainer cohort, and an evidence-ready documentation pattern.

Enterprise

Public Cohort

Open-enrollment seats for individual leads, AI champions, and small teams without a dedicated training budget. Same teachers, mixed-org cohort.

Public Cohort
How to pick

The fit question, in one paragraph.

If you have one team and a clear AI-touched workflow, start with Team Engagement. If you have multiple teams and a compliance lens, look at the Enterprise Program. If you're an individual lead trying to bring the rest of your org along, take a Public Cohort seat first.

  • One team, one workflow → Team Engagement
  • Multiple teams, compliance scope → Enterprise
  • Individual or pre-budget → Public Cohort
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What is shared across all three

The non-negotiables.

The format flexes. The standard does not.

Teachers, not generalists

Every program is led by someone who runs real Article 4 cohorts - not a consultant repackaging a deck.

Role-relevant practicums

Not vendor demos. Each learner ships AI-assisted work tied to their actual job.

Pre/post assessments

Mapped to the AI Act literacy standard so progress is measurable, not vibes.

Evidence-ready documentation

A clear pattern your compliance lead can review, retain, and explain when asked.

Not sure which fits?

The 4-minute Scorecard ends with a fit recommendation. Or compare the three programs side-by-side.

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Training topics

Topics we teach

A working catalogue of AI topics we deliver as team engagements, public cohorts, or single-session workshops. Every topic is role-specific, practicum-led, and produces Article 4 literacy evidence as a by-product.

  • 01 Most requested

    Build your Article 4 AI literacy evidence in one quarter

    What the Act actually asks of you, which of your AI uses fall into which risk tier, and the four things to have in place this quarter - without over-lawyering it.

    · For leaders
  • 02 Compliance

    Article 4 AI literacy your compliance lead can evidence

    Turn the one clause already in force into a role-specific plan - who needs to know what, how to document it, and how to document it clearly when your organisation is asked.

    · For mixed teams
  • 03

    Prompting that actually changes your output

    The small set of patterns that actually move output quality - clear roles, grounded context, iterative refinement - practised on your team's real tasks, not demo prompts.

    · For non-technical teams
  • 04 Trending

    Ship 2x faster with Claude Code

    A hands-on working session on using Claude Code well - skills, MCP servers, hooks, subagents - so a pair of engineers can roll it out for the whole team and keep it safe.

    · For developers
  • 05

    LLM, RAG, fine-tune or agent? A decision framework

    When to reach for a plain LLM call, when to add RAG, when to fine-tune, when to build an agent - with a decision tree your team can actually use on Monday.

    · For mixed teams
  • 06 Hot

    Get cited by ChatGPT, Perplexity and Google AI

    AI search is rewriting how buyers find you. Learn the AISO/GEO playbook - schema, entity signals, citable content - so your brand surfaces inside the answer, not on page two.

    · For non-technical teams
  • 07 Popular

    Automate the boring half of your week with AI

    Build production-ready AI workflows for your ops, sales and support teams - no code, real ROI, and the guardrails to stop them going off the rails.

    · For non-technical teams
  • 08

    AI content ops - 10x your output without losing voice

    A working system for marketing teams that pairs human voice with AI scale - briefs, brand prompts, edit loops, QA - so you ship more without sounding like everyone else.

    · For non-technical teams
  • 09

    Build AI agents compliance won't veto

    Agent design patterns that keep you out of trouble - scoped tools, human-in-the-loop gates, traceable runs - so compliance does not veto the build.

    · For developers
  • 10

    Classify your AI uses - workshop with your stack

    Walk through your own AI uses with us and leave with a defensible classification - high-risk, limited-risk, minimal-risk - and the paperwork to back it up.

    · For leaders
  • 11

    Evaluate AI features without an ML team

    Build a small, trustworthy eval suite for your AI feature - golden sets, rubrics, pass/fail thresholds - so you can switch models without crossing your fingers.

    · For developers
  • 12

    GDPR + AI Act - one DPIA that covers both

    A practical DPIA template for AI features - what GDPR actually wants, how it overlaps with AI Act obligations, and how to run the process without it becoming a 40-page cover-your-back exercise.

    · For leaders
  • 13

    Defend your AI feature from prompt injection

    The attacks your AI feature will face in the wild - prompt injection, tool abuse, data exfiltration - and the small set of defenses that actually blunt them.

    · For developers
  • 14

    AI governance for the C-suite - half a day

    A focused session for the exec team - what governance looks like when it is proportionate to your size, which decisions the board actually owns, and how to brief the company without panicking them.

    · For leaders
  • 15 New

    Build your first production agent in a day

    A working day with the Claude Agent SDK - tools, memory, hooks, worktrees - so your team leaves with a small agent running against a real task from your backlog.

    · For developers
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Compare programs

Side-by-side matrix of our three formats, plus how AISO Learn sits next to other training providers.

See the comparison