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AI Developer

Build and deploy AI-powered systems end to end, from Python-based automation and LLM integrations to scalable production architectures.

Part of our AI Academy Courses.

Course overview

AI Developer is crafted to help you design, build and deploy AI-powered systems from the ground up, combining Python automation, LLM integration, data pipeline engineering and scalable production deployment with responsible governance.

Skills gained

AI opportunity discovery & workflow mappingResponsible AI governance and safe adoptionAI project framing & change readinessScalable AI architecture and API integrationsAgentic automation data pipeline engineeringPython + LLM workflow developmentProduction testing, validation and deploymentBias, drift, security and responsible monitoringStrategic governance, documentation and auditabilityWorkforce enablement, KPI tracking and value realisation

Business outcomes

Production-Ready AI Delivery

Design, build and deploy robust AI systems with scalable architecture, rigorous testing and dependable operations.

Responsible Governance at Scale

Embed governance, risk controls and audit-ready documentation to support safe adoption across teams.

Measurable Business Value

Track productivity, efficiency and adoption KPIs to evidence ROI and guide AI investment decisions.

Curriculum

Analyse current processes, map workflows and identify inefficiencies where AI and automation can create measurable gains.
Apply responsible AI, data protection and equality considerations with clear governance and safe approval pathways.
Scope and plan AI initiatives while addressing stakeholder communication, change management and cultural impact.
Collaborate with peers to solve a practical business case and apply early-stage AI delivery methods.
Design agentic system architectures and evaluate API-led integrations by performance, cost and scalability.
Build structured, orchestrated data pipelines with transformation, routing, logging and debugging for reliable automation.
Use Python and LLM APIs to implement tool-calling logic, prompt refinement and structured outputs for dependable workflows.
Apply robust testing, benchmarking and deployment controls with human-in-the-loop safeguards for production readiness.
Identify bias, drift and security risks, then implement fairness checks and monitoring frameworks for long-term reliability.
Work as a team on a second AI business case focused on scaling architecture, controls and delivery outcomes.
Apply governance frameworks, impact assessments, cyber security controls and audit-ready documentation practices.
Drive adoption with inclusive training and communication while measuring productivity, efficiency and impact using KPIs.
Synthesise project evidence and prepare for professional discussion with durable presentation and EPA readiness skills.

Why our approach works

Measurable impact

Track quantifiable return on learning investment through business efficiencies, productivity and cost-savings.

Applied learning

We deliver project-based learning in a real-world context, personalised to each learner, to drive deep skill retention.

Guided by experts

Learners receive 1-to-1 coaching from industry experts, regular group coaching and community collaboration.

Transform careers

Everyone in your team has future-focused potential and deserves equitable access to economic opportunity.

Level 4 Apprenticeship

AI & Automation Practitioner

12 months blended delivery

Overview

Technical pathway for professionals who want to move beyond using AI tools into building production-ready systems. Covers opportunity discovery, responsible foundations, architecture and integrations, Python + LLM workflow engineering, testing/deployment, governance and value realisation through applied business cases.

Level 4 Apprenticeship

AI & Automation Practitioner

12 months blended delivery

Overview

Technical pathway for professionals who want to move beyond using AI tools into building production-ready systems. Covers opportunity discovery, responsible foundations, architecture and integrations, Python + LLM workflow engineering, testing/deployment, governance and value realisation through applied business cases.

To be eligible to start an apprenticeship you must meet the following criteria:

  • 18+ and employed in a full-time role related to the programme
  • Right to work in the UK
  • Lived in the UK or EEA continuously for the past 3 years
  • At least a grade of 4/C GCSE (or equivalent) in Maths and English
  • Not previously studied the course content
  • Not undertaking any other qualification during apprenticeship
  • Able to apply learning to role

To be eligible to start an apprenticeship you must meet the following criteria:

  • 18+ and employed in a full-time role related to the programme
  • Right to work in the UK
  • Lived in the UK or EEA continuously for the past 3 years
  • At least a grade of 4/C GCSE (or equivalent) in Maths and English
  • Not previously studied the course content
  • Not undertaking any other qualification during apprenticeship
  • Able to apply learning to role

Fully-funded

Eligible for Levy funding

Price: £22,000.00

check eligibility

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