Track quantifiable return on learning investment through business efficiencies, productivity and cost-savings.

15 month delivery, plus 3 month assessment
Empower teams with strong commercial awareness and a product mindset, helping them design data pipelines and architecture that aligns to business needs.
Automate manual data processes and create structured datasets to power AI workflows.
Build scalable, adaptable solutions that can handle growing demand for data and fast-moving business needs.
Module 1
Data systems and architecture
Module 2
Data modelling
Module 3
Data pipelines
Module 4
Automating data pipelines
Module 5
Testing data pipelines
Module 6
Data security, governance, and ethics
Module 7
End point assessment (EPA) readiness
Module 8
Data solutions for business impact
Module 9
Transformative development methodologies
Module 10
Data change management
Module 11
Real-time data processing
Module 12
Cloud engineering
Module 13
Critical incident response
Module 14
Data engineering for machine learning
Months 15-17
Gateway and independent preparation for end point assessment (EPA)
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Online, self-paced content that sets the foundation of skills for the module
Instructor-led, interactive workshops that dives deeper and reinforces the asynchronous content
Structured coach & peer support on project deliverables
Includes tutoring, progress reviews, and other individual/group support
Structured and unstructured application of learning to apprentices’ roles
Track quantifiable return on learning investment through business efficiencies, productivity and cost-savings.
We deliver project-based learning in a real-world context, personalised to each learner, to drive deep skill retention.
Learners receive 1-to-1 coaching from industry experts, regular group coaching and community collaboration.
Everyone in your team has future-focused potential and deserves equitable access to economic opportunity.
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