You have to be signed in to use this resource.
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
- MLC5 L3: You can create and manage MVP pipelines and interfaces, ensuring seamless integration of machine learning models into existing systems.
- MLC5 L3: You can demonstrate proficiency in containerisation and ensure interoperability between different systems and platforms.
- MLC5 L3: You consider redundancy and ensure the reliability of components when implementing solutions.
- MLC5 L3: You can balance cost, benefit, and performance considerations in system integration.
- MLC5 L3: You can implement testing frameworks and understand issues of monitoring systems and model drift.
- MLC5 L3: You can consider the entire lifecycle of machine learning products, from deployment to maintenance and updates.
- MLC5 L3: You can understand the capabilities and limitations of different infrastructures.
Resource details
Contributed by: | NHS Data and Analytics Academy |
Authored by: |
|
Licence: | More information on licences |
Last updated: | 27 March 2025 |
First contributed: | 26 March 2025 |
Audience access level: | General user |
Report an issue with this resource
You may report a resource, for example, if there is an issue with copyright infringement, breach of personal data, factual inaccuracies, typing errors or safety concerns. The type of issue will determine whether the resource is immediately removed from the platform or if the contributor is asked to make amendments. You can report a resource from the resource information page or by contacting the Learning Hub support team.
You can contact the Learning Hub support team by completing the support form or if you have a general enquiry you can email enquiries@learninghub.nhs.uk.