CURRICULUM FOR LEVEL 6 AI APPRENTICESHIP (36–48 Months)

Year 1: Foundation in AI & Computing (40 credits)

Modules:

1. Introduction to Programming & Python for AI

   • Variables, control flow, functions, OOP basics

   • On-the-job coding tasks in employer systems

2. Mathematics for Machine Learning

   • Linear algebra, calculus, stats for AI

   • Applied in weekly work-based tasks

3. Data Handling, Databases & Governance

   • SQL, NoSQL, GDPR foundations, DPIA basics

✅ 20% off-the-job learning: workshops, online bootcamps

Year 2: Core AI Skills & Responsible Practice (40 credits)

Modules:

1. Machine Learning in the Workplace

   • Supervised/unsupervised learning, scikit-learn, pandas

   • Work task: develop a basic AI model with supervision

2. Ethical & Safe AI in Practice

   • DfE-aligned: fairness, transparency, AI Act, IP

   • Case studies + DPIA project on internal employer tool

3. DevOps & MLOps for AI Deployment

   • Git, APIs, Docker, CI/CD, monitoring systems

   • Work project: containerised AI tool for internal use

✅ Weekly reflective journal for portfolio evidence

Year 3: Specialised AI Applications & Real-World Deployment (40 credits)

Modules:

1. Natural Language Processing & Generative AI

   • Tokenisation, transformers, summarisation

   • Workplace case: chatbots, prompt engineering

2. Applied AI in Industry Contexts

   • Sector case studies: health, retail, education

   • Develop and deploy a business-valuable AI solution

3. AI Governance, Risk & Compliance

   • DPA, age restrictions, tool audits, consent models

   • Task: review internal AI tool against DfE and ICO guidance

✅ Mentor check-ins + review board quarterly

Year 4 (Final 6–12 Months): End-Point Assessment (EPA) Phase (20 credits)

Components:

1. Capstone Project (EPA)

   • AI system developed at work, documented and presented

   • Includes risk log, governance review, performance metrics

2. Portfolio Review

   • Curated set of 15–20 pieces of work across 3 years

   • Includes governance documents, reflective logs, code

3. Professional Interview (EPA)

   • Conducted by external assessor

   • Evaluates knowledge, skills, behaviours (KSBs)

✅ Must demonstrate DfE-aligned responsible AI use

🏁 Outcome of the Programme

Upon completion, apprentices earn:

• 🎓 BSc (Hons) in Artificial Intelligence or Applied AI (Level 6)

• 🛡 Level 6 AI Specialist Apprenticeship Certificate (IfATE + ESFA)

• 🧾 Portfolio + Capstone Project assessed at national standard

• 🧠 Eligible for: Associate BCS membership, transition to Level 7 (MSc or Chartered pathways)