Gain the skills to lead AI-driven workflow redesign, build governed automations and prove business impact.
The AI & Automation Practitioner L4 apprenticeship equips you to lead practical AI change inside the teams closest to the work. You’ll learn how to analyse and redesign workflows, build governed automations, intelligent agents and agentic solutions, and apply AI in ways that improve efficiency, decision-making and service delivery.
Through blended workshops, practical tasks and coaching, you’ll build workplace solutions that tackle high-friction operational challenges. The result is stronger capability, safer adoption and measurable impact.
Designed for business practitioners rather than software engineers, this programme is for professionals who want to lead AI and automation change within their function, improve workflows and deliver measurable value without needing deep technical experience.
The ideal candidate profile will be someone who is:
– Committed to improving workflows and reducing manual effort
– Interested in applying AI and automation to real operational challenges
– Confident working across teams and functions to drive change
– Motivated by measurable impact and continuous improvement
– Ready to build practical capability in low-code automation, intelligent agents and governed deployment
By the end of the programme, you will be able to:
– Redesign workflows using service design, value stream mapping and BPMN 2.0 to understand how work really happens, identify waste and improve processes before automation is applied.
– Build intelligent agents, governed automations and practical low-code agentic solutions within clear frameworks for security, ethics, accessibility and deployment.
– Connect systems securely using APIs, JSON and structured data flows so workflows, grounded assistants and multi-agent systems can operate effectively across teams.
– Ground AI in company knowledge using retrieval-augmented generation, internal documentation and contextual data to improve relevance and reliability.
– Extend workflows with AI-assisted coding and custom logic to solve practical business problems.
– Create workplace outputs and impact evidence that show time saved, process improvements and measurable business value.
By building AI and automation capability inside business teams, organisations benefit from more efficient processes, safer adoption, stronger decision-making and greater capacity for higher-value work.
You’ll learn to see the business as a system, not just a series of tasks. Use service design, value stream mapping and live low-code monitoring to understand how work flows, where friction sits and what manual effort is really costing. The result is a clearer view of the workflow problems worth solving and a stronger foundation for improvement.
Develop the skills to translate hidden knowledge, branching decisions and workarounds into clear visual workflow logic. Using BPMN 2.0 and process mapping techniques, you’ll create structured models that reflect how work actually happens. The result is better workflow design, less ambiguity and stronger foundations for automation.
Build practical understanding of APIs, JSON, data flow and secure system integration. Learn how to connect systems safely so data can move accurately and efficiently between tools, teams and processes. The outcome is more reliable workflows and the infrastructure needed to support modern AI and automation solutions.
Explore how intelligent agents can reason through problems rather than simply follow fixed instructions. You’ll work with prompt design, ReAct patterns and non-binary decision handling to build agents that operate within business guardrails. The result is more adaptive automation that can support nuanced decisions in real workplace contexts.
Learn how to ground AI tools in internal company knowledge using retrieval-augmented generation, vector stores and contextual documentation. This helps ensure assistants and agents work from the right policies, documents and reference material. The result is more accurate, relevant and trustworthy outputs.
Use AI-assisted coding to create custom logic, extend workflows and solve problems that once required a developer. You’ll build practical confidence in using tools such as Python to support business needs, without relying on traditional software engineering pathways. The result is more flexible problem-solving and faster delivery of useful solutions.
Learn how to orchestrate multiple specialised agents around a shared business goal. You’ll explore agent collaboration, workflow coordination and change enablement to support more complex cross-functional challenges. The result is practical multi-agent systems that reflect how work happens across teams and systems.
Put responsibility at the centre of delivery through ethics, algorithmic impact assessment, accessibility, deployment checks and return on investment measurement. You’ll learn how to deploy AI and automation assets the business can trust, backed by governance and evidence of impact. The result is production-ready tools with clear safeguards and visible value.
This apprenticeship is designed for organisations that want business teams to lead practical AI and automation change. Training can be tailored to the workflows, systems and operational challenges that matter most in your context, helping learners apply new capability directly to their function. The programme combines workflow redesign, low-code automation, intelligent agents, agentic solutions, secure connectivity and governance in a way that supports real business adoption. This approach ensures teams can innovate safely within a clear framework, building capability where the workflow problems already exist.
– You are responsible for collecting and processing data within your organisation.
– Living and working in the UK or EEA for at least three years.*
– You have the right to work in the UK and will spend at least 50% of your working time in England throughout the duration of the programme.
– Working 30+ hours per week (part-time roles may qualify with sufficient cohort size).
– Able to allocate at least 6 hours per week for off-the-job learning throughout the 13-month programme.
– Must not be currently pursuing any other government-funded schemes including student loan funded programmes.
*Depending on your specific circumstances.
If you are ineligible or unsuitable for the apprenticeship, we can offer a commercially funded equivalent programme.
Talk to us about start dates, eligibility and cohort options. We will help you shape a pathway that fits you or your team.
These real impact stories show how individual learners apply AI and data skills in real working environments to deliver measurable results. From improving data quality and forecasting trends to strengthening regulatory confidence and supporting better decisions, each story highlights practical, applied learning in action.
If you’re ready to turn Data and AI into results, leave your details and we’ll recommend the right programme for your goals and team.
