Build production-ready AI skills across your organisation — fully funded through the Apprenticeship Levy
Most providers only target data scientists. We designed this programme for the wider team that makes AI happen — the developers who build it, the analysts who inform it, the leaders who champion it, and the ambitious professionals ready to move into it. No prior AI experience required.
Add ML capabilities to your existing technical toolkit. Build, deploy, and maintain AI-powered features in production applications.
Move beyond dashboards into predictive analytics. Build models that drive business decisions automatically.
Gain genuine technical fluency in AI to lead your organisation’s strategy with confidence — not just buzzwords. Speak the language of your engineering teams and make smarter investment decisions.
Scope AI features, evaluate what’s technically feasible, and bridge the gap between business objectives and ML engineering teams. The most valuable skill set in product right now.
Retrain into one of the fastest-growing professions in the UK. No prior ML experience required — we build from foundations upwards.
Moving into AI programme delivery? Understand the full ML lifecycle so you can plan, resource, and manage AI projects with real technical knowledge behind you.
This is not a theoretical course. Your learners will build, train, and deploy production-ready machine learning systems using the same tools and platforms used by leading technology companies — Python, Azure AI, NVIDIA GPU computing, and modern MLOps practices.
Every module is mapped to the KSBs in the Level 6 Machine Learning Engineer standard (ST1398) and includes real workplace projects, so learning translates directly into business impact from day one.
Why now? 97% of UK organisations report AI skills gaps, and 28% say those gaps are already holding back business goals (DSIT, 2025). The number of employers using apprenticeships to upskill their existing workforce in AI has grown from 3% to 19% in just five years — and the gap is still widening.
Earn industry-recognised qualifications from Microsoft, BCS, and NVIDIA as you progress — more embedded certifications than any other Level 6 ML provider.
Every TESS Group learner earns recognised industry certifications as part of their programme. These qualifications are woven into the curriculum, not bolted on — you prepare for them naturally as you learn.
A broad grounding in AI concepts, ethics, and applications. This industry-standard certification from the UK’s leading IT professional body provides a solid knowledge base for everything that follows.
Microsoft Certified
The most in-demand AI certification in enterprise. Learn to design and implement AI solutions using Azure OpenAI Service, Cognitive Services, and Azure Machine Learning — the platform used by the majority of FTSE 100 companies.
Practical, GPU-accelerated training in neural networks, deep learning, and generative AI from the company behind the hardware powering the AI revolution. Includes cloud-based GPU lab environments.
Two Certificates Included:
Fundamentals of Deep Learning — Build, train, and deploy neural networks using industry-standard frameworks and GPU-accelerated computing.
Generative AI Explained — Understand transformer architectures, large language models, and retrieval-augmented generation (RAG) for enterprise applications.
All certifications and examinations are included as part of the programme.
Six focused phases, each building on the last. Every module maps to the Knowledge, Skills, and Behaviours in the Level 6 Machine Learning Engineer standard.
A clear, structured pathway with support at every stage. Your dedicated Skills Coach guides you from day one through to your final EPA assessment.
Assessed by BCS — The Chartered Institute for IT. Two assessment methods determine your final grade.
Available Grades
The programme is funded through the Apprenticeship Levy at £22,000 per learner. Certifications, learning materials, and platform access are all included — the lowest-risk way to build AI capability.
Every module includes hands-on projects using Python, Azure AI, and GPU computing. Your people deploy production-ready ML systems, not just study theory.
A focused, intensive programme that upskills your people faster. 21 months total (18+3 EPA) — in line with market leaders, with more qualifications built in.
Developers, analysts, product managers, digital leaders — no CS degree required. We assess for aptitude and ambition, and build from foundations up.
Governance, bias mitigation, and ethical deployment are woven throughout — not bolted on at the end. Your team will build AI that is safe, fair, and audit-ready.
BCS, Microsoft, and NVIDIA qualifications earned as they learn. Plus BCS Advanced RITTech professional registration on completion. No other L6 ML provider offers this.
97% of UK organisations report AI skills gaps. Let’s discuss how the Fellowship can close yours — at zero cost through the Levy.