Level 4 – AI and Automation
Practitioner ApprenticeshipÂ
Develop employees who can identify, design, and implement AI and automation solutions to improve efficiency, productivity, and digital workflows across your organisation.
Why this apprenticeship?
Identify and implement AI and automation solutions to improve business efficiency.
This programme helps organisations develop employees who can identify opportunities to improve efficiency through AI and automation. Apprentices gain the skills to analyse existing workflows, implement low- or no-code automation tools, and support the responsible use of AI across business processes.
By building internal capability, organisations can streamline operations, improve productivity, and support digital transformation while ensuring automation solutions are implemented securely, ethically, and in line with governance requirements.
What the programme covers
Identifying Automation Opportunities
Learn how to analyse existing workflows and business processes to identify inefficiencies and opportunities for automation. Apprentices develop the ability to recommend AI and automation solutions that align with organisational goals and improve productivity.
Exercise Programs
Designing and Implementing Digital Solutions
Develop the practical skills to configure low- and no-code automation tools, build integrated digital workflows, and apply AI technologies such as chatbots and intelligent assistants to streamline operations.
Weight Training
Weight Training
Responsible AI and Adoption
Understand how to implement AI and automation responsibly, including ethical considerations, data security, governance, and supporting teams through the adoption of new digital tools and processes.
Goal Setting
Delivery Model
HOW IT WORKS
The programme is delivered through a structured blend of online learning, practical application, and workplace projects, allowing apprentices to apply new skills directly within their role.
Months 0–15
Apprentices attend bi-monthly online learning sessions supported by one-to-one coaching every 10 weeks. During this time, learners complete modules, develop practical skills, and apply their knowledge through workplace-based projects.
Months 15–18
Apprentices prepare for their End Point Assessment (EPA), where they demonstrate the knowledge, skills, and behaviours developed throughout the programme.
The EPA includes the completion of a portfolio of evidence and a final assessment, confirming the apprentice has achieved the required occupational standard.
Modules
Introduction to AI and Automation
An overview of artificial intelligence and automation, including key concepts, technologies, and how organisations use AI and automation to improve efficiency and productivity.
Automation and AI Integration
Explore how automation tools and AI technologies integrate with existing digital systems, workflows, and business processes to create seamless and efficient operations.
Prompt Engineering and AI Tools
Learn how to effectively use AI tools by developing structured prompts, understanding AI capabilities and limitations, and applying generative AI within business contexts.
Designing Intelligent Solutions
Develop the skills to design practical automation and AI solutions that address real business challenges, focusing on structured problem-solving and solution architecture.
Identifying Opportunities and Deployment
Learn how to analyse processes, identify automation opportunities, and plan the deployment of automation and AI solutions within organisations.
AI Ethics and Responsible Use
Understand the ethical, legal, and governance considerations of AI, including responsible adoption, data protection, fairness, transparency, and accountability.
AI Strategy and Leadership
Explore how organisations adopt AI strategically, including the role of leadership, organisational readiness, and aligning AI initiatives with business objectives.
Human-Centred Design and User Focus
Focus on designing automation and AI systems that support users effectively, ensuring solutions are intuitive, accessible, and aligned with human needs.
Human–AI Collaboration
Examine how people and AI systems work together in the workplace, supporting productivity while maintaining human oversight, judgement, and decision-making.
Continuous Improvement and Emerging Trends
Explore emerging AI technologies and approaches to continuous improvement, ensuring automation solutions remain effective and adaptable as technology evolves.