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AI Learning Paths for UK SMEs | Hartz AI Academy
Structured learning journeys for UK SMEs

AI learning paths
that build real capability

One-off AI sessions can spark interest, but change happens when people practise. Hartz AI learning paths combine workshops, guided exercises and gentle accountability so your team builds lasting skills, not just a folder of slides.

Built for non-technical teams
Typically 6–12 weeks
Grounded in safe, responsible use
How learning paths work

A simple structure that respects people’s time

Each path is built around the reality of your team’s week. Short, focused sessions are paired with light practice between them, so people actually try things in their own tools and tasks.

Regular touchpoints, not one-offs

Short live sessions every 1–2 weeks, with time in between to apply ideas to real work.

Guided exercises in your workflows

Practical prompts, templates and checklists tailored to your roles, systems and policies.

Space for questions and safe experimentation

We expect uncertainty and “naive” questions. The path is designed to create a supportive learning culture.

Simple success measures

Before and after confidence, time saved, and real examples of improved work from participants.

What teams typically see

90%

Average confidence increase

3–5 hrs

Typical time saved per person / week

4–6

Workflows measurably improved

Figures are indicative only and based on selected Hartz AI learning path programmes with UK SMEs.

Example learning paths

Learning paths we often design

Every organisation is different, but many programmes fall into one of these shapes. We tailor language, examples and tools to your context.

Foundations: AI literacy for everyone

Give your organisation a shared language and safe baseline for using AI tools at work.

  • 3 × 90-minute sessions over 4–6 weeks
  • Core concepts, safe use, and practical prompting
  • Designed for mixed-role groups and non-technical teams

Works well as the starting point before role-specific paths.

Applied AI for daily workflows

A path focused on real tasks from your operations, marketing, HR or finance teams.

  • 4–6 practical sessions with live exercises
  • Role-specific prompts, templates and mini-projects
  • Clear before/after examples to show value to stakeholders

Often follows the foundations path once the basics are in place.

AI champions & change leaders

Deeper development for the people who will support colleagues and steward AI use internally.

  • 4–8 sessions mixing training, clinics and peer learning
  • Focus on coaching, troubleshooting and responsible use
  • Output: internal playbooks and simple checklists

Ideal for organisations building sustained internal capability.

Format and logistics

Flexible formats that fit your calendar

Learning paths can run entirely online, on-site at your offices, or as a blend of both. We’ll shape the schedule around your busiest periods and key projects.

Delivery options

  • • Live online sessions
  • • On-site workshops in London & UK-wide
  • • Hybrid models for distributed teams

Group size

  • • Ideal groups of 8–18 people
  • • Options for larger cohorts
  • • Breakouts for role-specific work

Who we usually work with

Small and medium-sized organisations across professional services, charities, education, sport, healthcare, real estate and membership bodies.

Grounded in governance

All learning paths are aligned with your policies, sector guidance and risk appetite, and can link into our AI governance and risk services where helpful.

Partnership, not dependency

The path is designed to hand over knowledge, resources and confidence so your team can keep improving after the programme ends.

Next steps

Explore an AI learning path for your team

A short conversation is usually enough to map a simple starting path. We’ll talk through your goals, roles and constraints, then suggest a practical sequence of sessions that fits.

Common questions

Questions about AI learning paths

What’s the difference between a learning path and a single workshop?

A workshop is a one-off event. A learning path is a sequence of sessions with practice in between, so people have time to try things, reflect and build new habits. Most organisations see more lasting change with a path than with isolated sessions.

How customised can a learning path be?

Every path is tailored to your organisation. We’ll use your tools, scenarios and language wherever possible, and we can create separate tracks for different roles or seniority levels if helpful.

Do we need to complete a readiness audit before starting?

Not always. For many organisations, a short discovery conversation is enough to scope an initial learning path. For more complex environments, we may recommend an AI readiness audit first to understand risks, data and processes.

How do you measure the impact of a learning path?

We set simple measures at the start: confidence scores, time saved on specific tasks, reduced rework, and quality improvements. We’ll share a clear summary at the end so you can see and communicate the value.