AI Deployment & Operations
Applied AI Deployment Specialist
O03 · Specialist
Entry requirements
G02 and O01; A02 recommended; practical entry review
What 48 hours means
- Lessons
- 36 h
- Capstone
- 8 h
- Assessment
- 2 h
- Remediation
- 2 h
Syllabus
Four modules, twelve lessons. Every lesson states what it covers and the evidence you produce for it.
Module 1
Client discovery
Discovery interviews · Problem and value definition · Data readiness
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O03.01 · 180 min
Discovery interviews
Clarify workflow pain points, affected users and constraints.
Evidence: An interview record separates needs from requested technology.
O03.02 · 180 min
Problem and value definition
Set a baseline, measurable outcome and excluded scope.
Evidence: The sponsor brief includes acceptance and stop criteria.
O03.03 · 180 min
Data readiness
Module 2
Solution design
Architecture options · Delivery planning · Secure prototype
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O03.04 · 180 min
Architecture options
Compare a deterministic baseline and AI-enabled alternatives.
Evidence:
Module 3
Implementation
System integration · Evaluation and review · Production readiness
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O03.07 · 180 min
System integration
Connect mock enterprise systems through validated contracts.
Evidence:
Module 4
Acceptance
User acceptance · Training and handover · Final defence
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O03.10 · 180 min
User acceptance
Run a scripted acceptance session with a reviewer.
Evidence:
Capstone
Deliver a scoped AI solution for a simulated client, from discovery and architecture to deployment, evaluation, training and operational handover.
Lab environment
Combined project sandbox
Lab infrastructure is not yet provisioned, so this describes the environment the course is designed for rather than one you can launch today.