Level 4 AI & Automation Engineer Apprenticeship

Yes. Engineers design, build, integrate and release low-code solutions, including API calls and basic custom connectors, with observability and guardrails to run in production.

Low-code platforms (e.g., Microsoft Power Platform), connectors, APIs, identity, permissions and secrets, DLP basics, logging, telemetry, environment and release practices.

Most cohorts deliver quick-win builds during the programme. Within ACT, we baseline and report before and after metrics (usage, time/£ saved, exceptions) to guide scaling.

You’ll implement retries, idempotency, exception routes, alerts and basic SLIs and SLOs plus run-books for support.

Embedded: acceptable-use, RBAC, DLP, audit trails, human-in-the-loop, data minimisation and environment strategy aligned to policy and change control.

Leader prioritises and sponsors. Specialist designs and builds low-code with a business focus. And Engineer adds deeper integration, reliability, environments and operations for production scale.

Choose ACT for an evidence-led audit with consultants' support, a decision-ready roadmap, measurable pilots and structured deployment. Choose training only if you already have a clear AI ethics, policy, strategy, roadmap and upskilling plan.

Typical results include reduced cycle times, fewer failures, rework, capacity gains and lower cost-to-serve. Early improvements usually appear within weeks, with broader scale following your release cadence.

Yes. Appropriate tenant access and licences for your low-code platform, AI services, plus a non-production environment with clear DLP rules.

Yes. The apprenticeship route aligns to ST1512 v2.0 – Artificial Intelligence (AI) & Automation (Engineer pathway), covering the relevant Knowledge, Skills and Behaviours for EPA. Commercial routes map to key KSBs prioritised with our employer partners for high impact in a shorter time. (Standard: https://skillsengland.education.gov.uk/apprenticeships/st1512-v2-0 )

Yes. We align examples to your systems and KPIs (cycle time, first-time-right, exception rate, cost-to-serve).

Threaded through builds and reflections. AI-aware critical thinking, human-AI collaboration, AI-first business mindset, responsible innovation, confident communication and reflective machine learning solutions. So technical capability translates to safe, effective delivery.

• Level 3 -Broadly comparable to A-level standard. Learners apply established methods to well-defined problems with growing independence.
• Level 4 (first-year undergraduate degree equivalent). Learners tackle more complex, work-based problems, select between approaches, and begin to design solutions and improvements.
• Level 6 (Bachelor’s degree equivalent). Learners lead on complex initiatives, integrate multiple disciplines, and make evidence-based decisions with accountability for outcomes.