Description
Apprenticeship overview
This programme will equip you with the advanced AI and machine learning (ML) capabilities needed to build, deploy and manage intelligent solutions at scale. You will learn to leverage powerful technologies such as computer vision, natural language processing, and neural networks to solve real-world challenges and unlock new growth. By embedding practical, ethical and forward-thinking AI skills.
Who’s eligible?
To be eligible for this programme, you must be employed in a relevant role, which could include:
- AI Engineers and ML Practitioners who want to develop the technical skills needed to implement and manage AI/ML solutions. Typical job roles include AI Engineer, Machine Learning Engineer, Deep Learning Engineer
- Software Developers and Data Scientists who want to expand their expertise into AI, ML, and deep learning. Typical job roles include Data Scientist, Software Engineer (AI/ML), AI Application Developer
- IT and Data Professionals who want to build AI-powered solutions. Typical job roles include Data Engineer, AI/ML Data Analyst, AI/ML Operations Engineer (MLOps)
- Technology Leaders who are driving AI initiatives and looking to understand AI strategy, ethics, and implementation. Typical job roles include AI Solutions Architect, AI Product Manager, AI Product Engineer
Targeted Skills
- Machine Learning: Ability to build, train, and evaluate ML models.
- Applied AI: Practical skills in NLP, computer vision, and neural networks.
- AI Solution Development: End‑to‑end capability to design, deploy, and maintain AI systems.
- Responsible AI: Understanding of ethical, fair, and sustainable AI practices.
- Professional Skills: Strong communication and collaboration in technical environments.
Who is this programme for?
Designed for ambitious professionals ready to build a career at the cutting-edge of artificial intelligence. If you want a comprehensive, hands-on approach to AI and machine learning, this apprenticeship combines technical depth with real-world application. It’s built for those ready to engage with every aspect of AI, from model development and deployment to ethical design, cross-functional collaboration and AI innovation.