EDGE AI - Applied Intelligence

About Edge Applied Intelligence Skills

Growth is a team sport. EAS connects practical AI skills with social skills, creative thinking and human judgement, so people can apply learning to real workplace challenges and improve together.

A shared language, not a shared script. Educators, employers and communities bring their own expertise, purpose and identity. Our continual learning and development spine strengthens their work rather than replacing it.

See the shared spine The proof of concept

A learner and colleagues discussing work together in a bright shared space

Purpose, vision and mission

Why Edge AI Skills exists

Purpose

Help people build the confidence, judgement and practical capability to participate, contribute and grow as AI changes learning, work and life.

Vision

Build the world's leading applied intelligence platform, with a global community of peers connecting personal opportunity, organisational development and inclusive growth.

Mission

Work with educators, employers and communities to turn shared foundations into relevant practice, reviewed evidence and continual development.

Teaching that fits

Same principles, different teaching

A primary-school learner, a career changer and an experienced leader may encounter the same underlying principles, but they need different lessons, support and responsibilities. EAS connects responsible AI learning with communication, creative thinking, teamwork and judgement, helping people prepare for relevant next steps in learning, work and life.

School delivery is a natural extension of the education model. Any route is developed with educators around age, curriculum, suitable tools, safeguarding and support before delivery is agreed.

Accessibility and additional learning needs run throughout the model. Creativity, imagination, design and communication sit alongside science, technology, engineering and mathematics. EAS complements careers guidance, work experience and specialist support rather than replacing them.

Inclusion in practice

Broader participation. More voices shaping AI.

We are keen to work with inclusivity initiatives that help people participate across generations, backgrounds and abilities. Community insight can help shape accessible learning, relevant examples and support that responds to real barriers. The aim is not just to reach more people, but to value their experience in how AI learning and innovation develop.

Human capability

Human skills are AI skills

Our focus is applied intelligence that augments human capability, with people always in the loop and in control. Social skills, creative thinking and AI models work together, not in place of people. Tools will keep changing. The lasting capability is knowing how to ask better questions, challenge outputs, work with others, communicate clearly and use judgement. AI supports decisions. It does not take away human responsibility.

Curiosity

Asking better questions and exploring what AI can unlock.

Imagination

Seeing new possibilities for roles, services, products and experiences.

Critical thinking

Challenging outputs, checking assumptions and spotting risk.

Communication

Explaining AI-supported work clearly to colleagues, customers and stakeholders.

Collaboration

Working across teams, disciplines, sectors and communities.

Judgement

Knowing when to use AI, when to check it and when human decision-making matters most.

Trust

Using AI safely, ethically and transparently.

Adaptability

Keeping pace as tools, roles and workflows evolve.

Our scope

Shared foundations, not everything

EAS is not a promise to teach every subject or replace specialist provision. It provides shared foundations that can help different forms of learning translate into responsible capability and meaningful progress.

The wider model is being developed with partners. The initial Foundation and Bronze proof of concept is a focused starting point, not evidence that every intended route is already available.

See the ways to participate

Working alongside national learning

How Edge AI Skills complements national AI learning

National platforms and other learning providers offer a broad range of AI learning, including practical application, evidence and progression where their programmes provide them. EAS is designed to work alongside this provision, connecting shared responsible AI foundations with locally shaped practice, tutor support and reviewed evidence. People and organisations can choose the combination that fits their goals, without treating these strengths as exclusive to EAS.

The EAS contribution

Learning, life and work. Connected by human judgement.

EAS is designed to connect practical AI capability across education, early careers, employment and community learning. It sits alongside established provision, with shared foundations and people in control.

A shared responsible starting point
Build judgement, data protection, checking and accountability before more advanced application.
Progress by readiness
Foundation to Gold describes a capability pathway, subject to prerequisites and tutor review. An apprenticeship is a separately agreed option, not the assumed destination.
Use approved tools you already have
Practise useful tasks with tools approved for your setting. A proprietary AI assistant is not the centre of the EAS approach.
Grow alongside others
Connect learners, educators, employers and specialist contributors while respecting their expertise and independence.

These are priorities of our developing model, not claims of exclusive methods or superior results. Foundation and Bronze are the initial proof of concept, not evidence that every intended route is available.

Regional collaboration

Support organisations and community networks

Edge AI Skills is designed to work with the organisations already supporting North East businesses, learners and communities. Growth hubs, chambers, sector networks, colleges, enterprise agencies and local support bodies can identify real business problems, connect SMEs to practical AI support and turn regional priorities into live learning briefs.

Connect local needs with useful practice

Regional organisations can help identify suitable tasks, support needs and opportunities for guided practice. Any contribution, review role and information sharing would be agreed with the delivery team.

A route for businesses and communities

The pathway can support SMEs, construction, manufacturing, trades, colleges, apprenticeships and community programmes by starting with practical tasks, piloting safely and scaling what works.

Explore support organisations and regional networks

Apprenticeships, levy and funded skills

Aligned to apprenticeships, funded skills and workforce development

Edge AI Skills is designed to align with existing education, apprenticeship and funded-skills routes rather than sit outside them. The pathway can support apprentices, T Level learners, college students, graduates, employees, people returning to work, people affected by AI-driven displacement and those not currently in education, employment or training.

For employers, this means Edge AI Skills can be shaped around existing skills investment, including apprenticeship levy-funded development where appropriate, employer training budgets, ESG and social value funding, regional skills funding, innovation funding and sponsored access.

Designed to complement apprenticeships and existing qualifications. Any contribution to funded training, off-the-job learning, academic credit or assessment must be agreed with the relevant provider and confirmed against the applicable programme requirements.

Apprenticeships and levy

Modules can support apprenticeship learning, employer induction, workplace evidence and skills development where they align to relevant standards and funding rules.

Education pathways

Foundation to Gold can sit alongside T Levels, college programmes, degrees, masters programmes and continuing professional development.

Workforce reskilling

The pathway can support employees whose roles are changing through AI, helping organisations invest in responsible redeployment before displacement becomes a crisis.

Educators turn market need into teachable practice

Tutors and educators are central to the model. They help translate employer insight, research and changing AI practice into structured learning, safe activities, assessment evidence and reflective practice. Their feedback from delivery is part of the improvement loop, helping each module become clearer, more credible and more useful over time.

Who we build it with

Founder partners shaping the spine

Interested in building on the shared core with your own expertise?

Explore how partnership could work