Assessment Introduction
This apprenticeship equips professionals with the skills to design, build, and deploy AI solutions that deliver real business value. ML Engineers turn data into intelligent systems, managing the full lifecycle of models to ensure performance, reliability, and impact.
They will:
Design and develop machine learning models aligned to business goals
Deploy, monitor, and maintain ML solutions across their lifecycle
Collaborate with cross-functional teams to deliver scalable AI systems
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Assessment Information
Explore the assessment methods, grading criteria and pricing information below.
Project Evaluation Report, Presentation and Questioning
A 5,000-word evaluation report based on a work-based project completed pre-gateway, submitted by the end of week 8 of the EPA period. A presentation based on project is also prepared and is submitted at the same time as the report.
A presentation with questioning session will follow with an independent assessor; the presentation will take 20 minutes and will be followed by 30 minutes of questioning.
A 90-minute two-way discussion, which involves both the independent assessor and the apprentice actively listening and participating in a formal conversation.
Professional Discussion
Grades awarded are fail, pass, merit, or distinction.
Grades
Assessment Delivery
Apex powers every stage of the assessment journey, from onboarding and scheduling through to results and certification, in one connected platform. That frees our assessors to focus on what actually matters: delivering high-quality, consistent assessment experiences for every apprentice.
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