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ai and automation Level Ups!
Ignite XP
1XP!
2XP!
3XP!
Earners of this badge have completed an employer-led, real-world cyber challenge by explaining what AI and automation are, and where they can help or cause harm. Earners have used safe and respectful practice; including checking information, protecting privacy, and getting consent before sharing. Earners have followed secure account habits; identified misinformation or unsafe content risks; suggested a safe option for a simple task; and provided evidence and reflection.
Earning Criteria:
- Earner has understood privacy, data protection, and safe sharing by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in data protection by identifying personal information and safe sharing. They have gained awareness of personal identifiable information and learnt about data privacy.
- Earner has understood digital systems, AI, and automation by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in artificial intelligence by identifying what digital systems do. They have gained awareness of automation and learnt about generative artificial intelligence.
- Earner has solved simple digital problems and supported users by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in troubleshooting by taking part in basic troubleshooting. They have gained awareness of computer skills and learnt about using devices.
- Earner has produced evidence of learning and progression by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in organisation, reflection, and trying again by collecting simple evidence and reflecting. They have gained awareness of interviews, personal strengths, transferable skills, and learnt about a curriculum vitae (CV).
Earners of this badge have completed an employer-led, real-world cyber challenge by describing how AI and automation support tasks; and where limits, errors, or bias can occur. Earners have applied privacy and data protection basics; used secure account habits; and followed safe online practice, including checking sources and avoiding unsafe sharing. Earners have proposed safeguards for a scenario, communicated decisions clearly, and built a portfolio with reflection and next steps.
Earning Criteria:
- Earner has understood online safety and digital wellbeing by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in online safety by evaluating online safety and digital wellbeing. They have gained awareness of online wellbeing and learnt about internet safety and security.
- Earner has understood digital systems, AI, and automation by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in digital integration by analysing systems and responsible AI. They have gained awareness of artificial intelligence and learnt about automation.
- Earner has solved simple digital problems and supported users by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in troubleshooting by evaluating and improving digital support. They have gained awareness of technical acumen and learnt about remote troubleshooting.
- Earner has produced evidence of learning and progression by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in organising evidence, using feedback, and reflection by organising evidence and summarising learning. They have gained awareness of their progress, next steps, transferable skills, and learnt about interviews, curriculum vitae (CV), and applications.
Earners of this badge have completed an employer-led, real-world cyber challenge by analysing AI and automation benefits, limits, bias, and risk, and proposing responsible practice with clear safeguards. Earners have managed privacy, consent, and data protection risks; strengthened secure access; and evaluated misinformation and harmful content risks. Earners have justified safe options for a digital task; supported others with clear guidance; and curated a progression-focused portfolio with reflection and next steps.
Earning Criteria:
- Earner has understood online safety and digital wellbeing by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in online safety by evaluating online safety and digital wellbeing. They have gained awareness of online wellbeing and learnt about internet safety and security.
- Earner has understood digital systems, AI, and automation by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in digital integration by analysing systems and responsible AI. They have gained awareness of artificial intelligence and learnt about automation.
- Earner has solved simple digital problems and supported users by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in troubleshooting by evaluating and improving digital support. They have gained awareness of technical acumen and learnt about remote troubleshooting.
- Earner has produced evidence of learning and progression by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in curriculum vitae (CV) writing, cover letter writing, job applications, and reflection by curating a progression-focussed portfolio. They have gained awareness of transferable skills, professionalism, and learnt about reflection, progress tracking, and interview skills.
Ascend XP
1XP!
2XP!
3XP!
Earners of this badge have completed an employer-led AI and automation challenge exploring everyday digital tools and systems, what networks and internet connections enable, and safe rules for using digital tools. They identified personal information, what to keep private, and safe sharing actions like asking permission. With support, they followed steps to solve a basic problem, recorded what they tried, knew when to escalate, and provided evidence from at least two activities with a short reflection.
Earning Criteria:
- Earner has understood privacy, data protection, and safe sharing by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in data protection, data privacy, and file sharing by identifying personal information and safe sharing. They have gained awareness of personal identifiable information (PII), and learnt about data privacy and internet privacy.
- Earner has understood digital systems, artificial intelligence (AI) and automation by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in artificial intelligence, automation, and digital integration by identifying what digital systems do. They have gained awareness of generative artificial intelligence, technology, and learnt about tools such as Chat GPT and cloud computing.
- Earner has solved simple digital problems and supported users by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in troubleshooting, remote troubleshooting, and computer skills by taking part in basic troubleshooting. They have gained awareness of technical equipment, equipment selection, and learnt about computer literacy and digital literacy.
- Earner has produced evidence of learning and progression by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in organisation, reflection, and trying again by collecting simple evidence and reflecting. They have gained awareness of interviews, personal strengths, transferable skills, and learnt about a curriculum vitae (CV).
Earners of this badge have completed an employer-led AI and automation challenge explaining how devices, networks, and cloud tools connect, and what AI and automation can and cannot do. They applied privacy, data protection, consent, and safe sharing rules, identified data concerns with next steps, and used an AI or automation tool safely by following guidance. They used simple methods to find a problem’s cause, communicated clearly to confirm user needs, escalated appropriately with accurate notes, and built a simple portfolio with reflection and an updated progression plan.
Earning Criteria:
- Earner has understood privacy, data protection, and safe sharing by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in data protection, data privacy, and internet privacy by applying privacy and data protection basics. They have gained awareness of personal identifiable information (PII), internet privacy, and learnt about data protection and data privacy.
- Earner has understood digital systems, artificial intelligence (AI) and automation by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in cloud computing, automation, and digital integration by describing how devices, networks and cloud tools connect. They have gained awareness of artificial intelligence, generative artificial intelligence, and learnt about tools such as Chat GPT and computational thinking.
- Earner has solved simple digital problems and supported users by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in troubleshooting, remote troubleshooting, and computer skills by understanding systems and AI use. They have gained awareness of technology, technical curiosity, and learnt about digital literacy and computer literacy.
- Earner has produced evidence of learning and progression by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in organising evidence, using feedback, and reflection by organising evidence and summarising learning. They have gained awareness of their progress, next steps, transferable skills, and learnt about interviews, curriculum vitae (CV), and applications.
Earners of this badge have completed an employer-led AI and automation challenge analysing how digital systems support services and work, and assessing privacy risks and compliance requirements, including consent records and access control. They evaluated AI risks (bias, privacy, misinformation) and proposed improvements to reduce risk and support inclusion, including responsible safeguards. They analysed a digital issue, proposed and justified options using risk thinking and safe access, evaluated outcomes with improvements to prevent repeat issues, and curated a role-aligned portfolio evidencing development and next steps.
Earning Criteria:
- Earner has understood privacy, data protection, and safe sharing by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in data protection, data privacy, and internet privacy by managing privacy and data protection risks. They have gained awareness of personal identifiable information (PII), internet privacy, and learnt about data protection and data privacy.
- Earner has understood digital systems, artificial intelligence (AI) and automation by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in automation, cloud computing, and computational thinking by analysing systems and responsible AI. They have gained awareness of artificial intelligence, generative artificial intelligence, and learnt about tools such as Chat GPT and data protection.
- Earner has solved simple digital problems and supported users by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in troubleshooting, remote troubleshooting, and software engineering by evaluating and improving digital support. They have gained awareness of technology and learnt about computer literacy and digital literacy. (
- Earner has produced evidence of learning and progression by completing an employer-led, real-world cyber challenge. They have gained and demonstrated skills in curriculum vitae (CV) writing, cover letter writing, job applications, and reflection by curating a progression-focussed portfolio. They have gained awareness of transferable skills, professionalism, and learnt about reflection, progress tracking, and interview skills.