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

• MLC7 L3: You can demonstrate an understanding of the core concepts of cloud computing, including the use of cloud services like AWS, Azure, and Google Cloud.
• MLC7 L3: You can demonstrate knowledge of distributed computing principles, including multi-threading and the use of multiple servers.
• MLC7 L3: You have an awareness of scalability issues for large datasets and high compute.
• MLC7 L3: You know how to monitor resource usage and cost.
• MLC7 L3: You can demonstrate an awareness of security implications in distributed systems, including data privacy and secure communication between distributed components.
• MLC7 L3: You can set up monitoring systems to track the performance and health of distributed applications.
• MLC7 L3: You can design fault-tolerate systems.