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.
Three phases to lasting capability.
Phase 1 · Foundations
Core AI concepts, safe use and practical prompting.
Phase 2 · Applied practice
Role-based workflows, experiments and guided tasks.
Phase 3 · Independence
Champions, playbooks and light-touch ongoing support.
Part of the Hartz AI Academy - practical AI training designed for UK SMEs.
Visit the AcademyA 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
Average confidence increase
Typical time saved per person / week
Workflows measurably improved
Figures are indicative only and based on selected Hartz AI learning path programmes with UK SMEs.
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.
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.
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.