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  • Skills Radar – AI Productivity Level 3

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    1Details
    2Part 1
    3Part 2
    4Part 3
    5Qualifications, Prior Learning & Experience
    Welcome to the Corndel AI Productivity Level 3 Skills Radar.


    This skills radar is a self assessment tool that is used to confirm your eligibility for this apprenticeship, and to help us to understand your current level of knowledge, skills and behaviours against those of this programme. If you hold qualifications, or have prior learning or experience related to this programme we will contact you to discuss this further, as you may not be eligible for government funding.

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    DD slash MM slash YYYY

    Your details

    Name*
    Aptem email address*

    Your data will be processed by Corndel in accordance with their Privacy Policy.
    Privacy policy*
    The statements below cover the knowledge, skills and behaviours that you will learn and develop on this programme. Using the 1-10 guidance below, please assess your current level of knowledge and experience in relation to the level of this programme.

    • 1-2:   I have no prior learning or experience and cannot demonstrate this.
    • 3-4:   I have some prior learning or experience and demonstrate this inconsistently.
    • 5-6:   I have moderate prior learning or experience and demonstrate this occasionally.
    • 7-8:   I have good, or very good prior learning or experience and demonstrate this often.
    •      9:   I have extensive prior learning or experience and demonstrate this to an exemplary standard.
    •   10:   I am an expert and have nothing further to learn.
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    Utilising AI tools (e.g., chatbots, LLM-based assistants) to enhance stakeholder productivity.
    Training and supporting stakeholders to effectively integrate AI-driven applications in their workflows.
    Coaching stakeholders to build confidence and competence in using AI tools.
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    Understanding and selecting appropriate AI and generative AI solutions to optimise productivity software tasks.
    Supporting stakeholders in troubleshooting issues related to AI-enhanced productivity applications.
    Leveraging AI to proactively identify and resolve application performance issues.
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    Using AI-driven analytics to monitor application usage and recommend improvements.
    Evaluating AI implementation impacts on stakeholder productivity and satisfaction.
    Understanding digital architectures supporting AI technologies (cloud-based AI services, local vs cloud LLM deployment).
    Safeguarding organisational brand through responsible and ethical use of AI-driven digital presence.
    Assessing and managing risks associated with deploying AI solutions within your organisation.
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    Effective communication of AI concepts to diverse audiences, tailoring messages based on stakeholder familiarity with AI.
    Principles of critically evaluating AI-generated information for currency, relevance, accuracy, and authority.
    Communicating insights derived from AI clearly, ethically, and responsibly.
    The statements below cover the knowledge, skills and behaviours that you will learn and develop on this programme. Using the 1-10 guidance below, please assess your current level of knowledge and experience in relation to the level of this programme.

    • 1-2:   I have no prior learning or experience and cannot demonstrate this.
    • 3-4:   I have some prior learning or experience and demonstrate this inconsistently.
    • 5-6:   I have moderate prior learning or experience and demonstrate this occasionally.
    • 7-8:   I have good, or very good prior learning or experience and demonstrate this often.
    •      9:   I have extensive prior learning or experience and demonstrate this to an exemplary standard.
    •   10:   I am an expert and have nothing further to learn.
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    Incorporating AI-driven solutions in digital support activities aligned with organisational sustainability goals.
    Using AI-driven analytics to identify continuous improvement opportunities in organisational processes.
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    Ensuring data accuracy, consistency, and compliance with data governance standards in AI projects.
    Using AI tools to enhance data organisation, accessibility, and insight generation.
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    Managing secure backups and data protection strategies for AI-driven applications.
    Understanding compliance requirements (e.g., GDPR) for handling data used in AI and LLM systems.
    Implementing risk mitigation strategies for AI applications to protect data confidentiality, integrity, and availability.
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    Professionally managing stakeholder challenges related to AI and generative AI tools.
    Responding effectively and appropriately to AI-related enquiries using digital support channels.
    Diagnosing and resolving AI-related issues reported by stakeholders.
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    Facilitating organisational adoption of AI tools across various business functions.
    Supporting stakeholders during digital transformation initiatives involving AI and generative AI.
    Analysing system usage data to identify effective AI integration and adoption strategies.
    The statements below cover the knowledge, skills and behaviours that you will learn and develop on this programme. Using the 1-10 guidance below, please assess your current level of knowledge and experience in relation to the level of this programme.

    • 1-2:   I have no prior learning or experience and cannot demonstrate this.
    • 3-4:   I have some prior learning or experience and demonstrate this inconsistently.
    • 5-6:   I have moderate prior learning or experience and demonstrate this occasionally.
    • 7-8:   I have good, or very good prior learning or experience and demonstrate this often.
    •      9:   I have extensive prior learning or experience and demonstrate this to an exemplary standard.
    •   10:   I am an expert and have nothing further to learn.
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    Effectively using AI-driven helpdesk systems to improve stakeholder support and organisational performance.
    Managing digital information systems enhanced by AI, such as finance, HR, or bespoke departmental solutions.
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    Proactively planning personal development to remain current with advancements in AI and generative AI.
    Understanding emerging trends in AI technology, including their implications for digital support roles and organisational sustainability goals.
    Utilising digital resources and AI-driven platforms for personal skill enhancement.
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    Independently identifying and deploying suitable AI technologies to resolve stakeholder problems.
    Demonstrating initiative and responsibility in AI-related digital tasks and projects.
    Effective collaboration using AI-powered office automation and collaborative tools.
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    Recognising and articulating the productivity benefits gained from AI-enhanced digital systems.
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    Leveraging AI-driven tools for effective time management, prioritisation, and collaborative teamwork.
    Sharing AI best practices and insights collaboratively with team members and stakeholders.
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    Maintaining the security of AI-enabled digital systems and adhering to organisational AI governance policies.
    Have you previously achieved a qualification equivalent to a level 3 (e.g. advanced apprenticeship) or above?*
    Please list all relevant qualifications*
    Click on the (+) to add further qualifications
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