From awareness to applied skill
A demonstration can create interest, but learners need repeated practice defining a task, giving context, evaluating output and improving the result.
Each activity should make learner thinking visible.
AI skills bootcamps & adult learning
Turn AI interest into
workplace capability.
Practical adult-learning programmes that move from AI foundations to useful, reviewed workflows and a clear next step.
For councils, skills commissioners, prime providers, employers and learning organisations. Shape a programme around the people you need to reach, the local or sector context and the evidence your delivery model requires.
Advance AI is a brand of Advance Agility Group.
Adult learnersWorkplace projectsResponsible AITrainer support
The programme challenge
A bootcamp must connect learning to a real next step.
Adult cohorts bring different starting confidence, job goals, sector experience and access needs. The programme needs enough structure to build capability while leaving room for relevant practice.
A cohort with mixed starting points
Some learners may already experiment with AI while others need help with accounts, terminology or confidence. Design should offer a supported route without holding back more experienced participants.
Baseline information shapes pace, support and extension tasks.
Evidence that means something
Attendance alone does not show capability. Agree what learners will produce, how they will explain their choices and what feedback or review is proportionate to the programme.
Evidence follows the learning outcome and commissioning model.
A modular curriculum
Build the right journey for the cohort.
Modules can be combined into a focused introduction or a longer programme. Final hours, sequence, assessment, delivery team and learner support are agreed for the specific commission.
AI foundations for work
Build a practical understanding of generative AI, common use cases, limitations and responsible boundaries. Learners practise turning a vague need into a clear task.
- Recognise where AI may and may not help
- Write, test and improve a task brief
- Identify information that should not be shared
Everyday productivity workflows
Explore activities such as planning, summarising approved material, preparing drafts, organising information and supporting routine communication. Human review remains explicit.
- Choose a suitable task and desired output
- Compare the result with source information
- Edit for accuracy, tone and audience
Role and sector pathways
Adapt examples to the cohort’s employment goals or workplace context. Focus on transferable methods rather than promising that one tool will remain standard.
- Map tasks within selected roles or sectors
- Identify judgement, domain knowledge and escalation
- Discuss responsible adoption in an organisation
Applied project and portfolio evidence
Use a fictional, synthetic or approved brief to produce a small workflow, artefact or demonstration. Learners document iterations, checks and limitations.
- Define the problem and success criteria
- Test the approach with contrasting examples
- Present the result and lessons learned
Responsible AI and workplace governance
Introduce privacy, bias, misleading output, intellectual property, transparency and human accountability through practical decisions.
- Use a simple risk and review checklist
- Explain when approval or expert input is needed
- Create an appropriate-use plan for the scenario
Facilitator and employer engagement
Prepare delivery teams and relevant employers to support the learning. Agree briefing, project input, learner feedback and boundaries before the programme starts.
- Run a facilitator briefing or rehearsal
- Turn employer needs into safe learning briefs
- Clarify who owns learner support and review
Planning a local skills programme or looking for additional delivery capacity? Bring the audience, outcomes and commissioning requirements.
Discuss the programmeIllustrative learner projects
Practical work with visible checks.
These are adaptable examples, not claims about previous bootcamp cohorts, employers or outcomes. Projects use fictional, synthetic or explicitly approved material.
A better service-enquiry workflow
Learners map a fictional inbox process, draft a classification approach and decide which enquiries require immediate human review. They test the workflow against edge cases.
Possible evidence: a workflow map, test cases and an escalation rule.
A researched communication pack
Using a supplied source pack, learners prepare a draft briefing and short audience-specific messages. They trace each important statement back to the source and remove unsupported claims.
Possible evidence: checked drafts and an accuracy log.
A workplace adoption proposal
Learners select a routine task, describe the current process and propose a small trial. They identify data boundaries, success measures, responsible owners and reasons to stop.
Possible evidence: a scoped pilot plan with review criteria.
Design for adult learners
Make participation possible, purposeful and safe.
Cohort design should account for access, confidence, employment context and the support already available through the delivery organisation.
Start with a useful baseline
Gather appropriate information about digital confidence, prior AI use, devices, accessibility requirements, work context and goals. Avoid collecting sensitive details that are not needed for delivery.
Offer supported and extended routes
Use guided steps, worked examples and peer discussion for learners who need structure. Add optional complexity through richer briefs, workflow analysis or testing for learners ready to go further.
Keep tools and accounts practical
Confirm age eligibility, licensing, account creation, accessibility and data terms before selecting a tool. Provide an agreed alternative where individual access is unsuitable.
Connect learning to progression
Help learners explain what they did, how they checked it and where human judgement remained. Any job, promotion, interview or earnings outcome must be presented as an aspiration rather than a guarantee.
Delivery models
A focused cohort.
A local programme.
A partner-led commission.
Delivery can be discussed on-site, live online or blended. The format depends on cohort size, hours, location, trainer availability, learner support and the commissioner’s requirements.
Intensive bootcamp
A concentrated sequence with guided practice, independent work and an applied project. Timetable intensity should reflect learner readiness and support arrangements.
Part-time adult-learning programme
Sessions spread across several weeks, allowing learners to practise between workshops and bring questions back for review.
Subcontracted module
Advance AI delivers a defined part of a provider-led programme. Curriculum approval, learner administration, reporting and quality roles are documented before delivery.
Employer or sector cohort
Adapt activities to an agreed workplace context using safe scenarios. Employer input, participant expectations and data boundaries are confirmed during planning.
Meet Advance AI
AI learning connected to practical change.
Advance AI is a brand of Advance Agility Group. Our work brings together AI training, technology transformation and the practical development of AI-enabled workflows.
Gaurav Rajwanshi is a transformation coach, trainer and AI practitioner. Speak with Gaurav and Iva about the cohort, commissioning context, delivery partnership and outcomes you need to define.
Explore Advance Agility’s published AI training catalogue for evidence of the wider learning offer. The catalogue does not by itself establish funded-provider status, framework membership, subcontract approval or accreditation.
Meet the teamProgramme governance
Make the operating model explicit.
Commissioned and partner-led programmes need clear accountability before learner recruitment or delivery begins.
01 / Define the commission
Confirm target learners, eligibility, referral route, geography, curriculum outcomes, hours, evidence, reporting, data protection, accessibility and safeguarding requirements.
Unresolved requirements become named dependencies.
02 / Agree delivery control
Document curriculum approval, trainer checks, learner support, attendance, quality review, complaints, substitutions, changes, branding and escalation.
Each responsibility has an owner and evidence route.
03 / Review the evidence
Use agreed measures such as participation, completed activities, checked project work, learner reflection and stakeholder feedback. Interpret results within the actual cohort and delivery context.
No outcome is claimed beyond the evidence gathered.
Plan the next step
Separate the learning brief from the funding route.
Build an accessible starting point
Agree what participants can already do before choosing specialist content. A foundation pathway can focus on practical prompting, checking responses, digital confidence and workplace tasks. More advanced automation or agent-building work should have its own prerequisites and learning objectives.
Discuss the pace, practice time, device access, support between sessions and evidence learners can show. An attendance record alone does not demonstrate practical capability.
Confirm the delivery arrangement
A privately commissioned programme, a contribution to a lead provider's delivery and a proposed funded pathway involve different agreements. Set out who recruits, supports learners, checks any eligibility, owns reporting and approves the teaching materials.
Any awarding-body relationship, regulated qualification or funded place must be confirmed for the exact programme before it is advertised. Request a tailored outline or explore our workforce partnerships offer.
Your questions
Commissioning details before we talk.
Bring your delivery specification, procurement route or early concept. We will distinguish confirmed requirements from assumptions.
Are these Skills Bootcamps funded by government?
This page describes a configurable AI bootcamp and adult-learning offer. It does not claim current government funding, an approved-provider place or learner eligibility for a funded programme. Funding and procurement status must be confirmed for each opportunity.
Can you subcontract for a council or prime provider?
We can discuss a defined subcontracted contribution. Due diligence, contracting, flow-down terms, data processing, quality assurance, reporting and approval must be completed before any delivery commitment.
How long is a programme?
Length depends on the learner outcomes, starting point, delivery pattern and commissioning requirements. We can discuss a focused introduction, a short module series or a longer applied programme after reviewing the brief.
Who is the programme for?
Potential cohorts include adults building general digital confidence, people developing work-ready skills and employees applying AI to suitable tasks. Final eligibility and recruitment criteria are set by the commissioning or lead delivery organisation.
Do learners need technical or coding experience?
Introductory and workflow-focused routes can be designed without coding. More technical projects may require prerequisites. We agree the starting level and tool access before finalising activities.
Can you guarantee jobs or progression?
No. Programmes can help learners build skills, practical evidence and clearer ways to discuss their work. Employment, promotion, earnings and progression depend on many factors and are not guaranteed.
How do you measure learning?
Agree measures that match the outcomes: checked activities, project artefacts, demonstrations, reflections, quizzes or facilitator review. Attendance can be recorded but is not treated as proof of capability on its own.
How are accessibility and digital inclusion handled?
Share known accessibility, device, connectivity, language and confidence needs during planning. We agree reasonable delivery adaptations and clarify which organisation provides learner support, equipment and specialist adjustments.
Can employers provide project briefs?
Yes, where the commissioner and provider agree. Briefs should be suitable for learning, use approved or fictionalised information and clearly state the role of employer feedback. Confidential operational data should not be placed into public AI tools.
Who owns learner data and programme evidence?
The contractual parties must define controller and processor roles, lawful basis, retention, access and reporting. The enquiry form should not be used to send learner-level records.
What does delivery cost?
Pricing depends on curriculum development, trainer time, cohort size, location, delivery mode, learner support, reporting and quality requirements. We provide a scoped proposal after reviewing the programme brief.
Let’s talk
What should learners be able to do by the end?
Book a short conversation or send the outline of the commission. An early concept is enough to start.
Book a free 15-minute callPlease enquire as a commissioner, provider or employer representative. Do not send learner records or confidential procurement material through this form.
Request a tailored programme outline
Share the audience, intended outcomes, timetable and delivery model. We will use your details to respond to this enquiry.
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