Level 6 AI Engineer Apprenticeship

Course Description (Short)

This 15-month apprenticeship provides professionals with the skills to build and deploy AI systems, covering the entire machine learning lifecycle and emphasising ethical practices to drive organisational value.

Course Format

Online learning, live lectures, workshops, self-paced e-learning, practical assignments

Course Length

15 months

Course Accreditation

Accredited

Cost

Funded by the Apprenticeship Levy

Access

General access – see website for eligibility requirements

Skills Covered

- Foundations of Machine Learning
- Practical Machine Learning Techniques
- Product Management for AI
- Neural Networks and Deep Learning
- Explainable AI and Model Interpretability
- AI Ethics and Governance
- Generative AI and Large Language Models
- Machine Learning in Production
- Securing and Optimising ML Systems

Mapped to NCF

• MLC6 L3: You can demonstrate a strong understanding and use of source control systems like Git.
• MLC6 L3: You can write robust, well-documented, and maintainable code.
• MLC6 L3: You consider non-functional requirements and impact on user experience.
• MLC6 L3: You can participate in code reviews, and demonstrate proficiency in debugging both code and statistical models.
• MLC6 L3: You can develop applications, including front-end interfaces for machine learning models.
• MLC6 L3: You can demonstrate a strong understanding of agile methodologies like Scrum and Kanban.
• MLC6 L3: You can demonstrate knowledge of continuous integration and continuous deployment (CI/CD) pipelines.
• MLC6 L3: You can demonstrate proficiency in setting up and using APIs.
• MLC6 L3: You can use the agreed specifications to design, code, test and document programs or scripts of medium-to-high complexity, using the right standards and tools.