AI Transformation Specialist
Learn discovery, requirements, testing and governance to pilot AI safely and embed change that sticks.
Opportunity Discovery & Prioritisation
Identify and prioritise AI opportunities using workflow analysis, feasibility, and value/risk scoring.
AI-Enabled Workflow Delivery
Design and build workflows that combine GenAI capabilities with automations and system integrations, with clear human-in-the-loop controls.
Measurable ROI & Approval
Prove ROI with measurable outcomes and stakeholder-ready reporting packs to support approval and scaling.
Key skills you will gain
Curriculum
A modular, guided experience that pairs flexible learning with practical projects.
GenAI Foundations & Opportunity Discovery
Understand what GenAI can/can’t do, map workflows, identify high-impact use cases, and prioritise by value + risk.
Responsible AI, Legal & Governance
Apply data protection, employment/equality considerations, and responsible AI principles to design safe adoption with clear governance and approval paths.
GenAI Workflows & Low/No-Code Automation
Build AI-enabled workflows using low/no-code tools, structured inputs/outputs, and integrations across business systems.
Solution Design, Prompting, Testing & Iteration
Define what “good” looks like, create test cases, run UAT, iterate prompts/workflows, and document edge-case behaviour.
AI Assurance, Risk Management & Monitoring
Identify and mitigate bias, error modes, security/privacy risks and operational failure points, with monitoring and escalation controls.
AI Value Measurement, Adoption & Reporting
Quantify impact (time, throughput, quality, adoption), build dashboards/KPIs, and recommend what to scale vs. stop.
Workplace Project (Applied AI Delivery)
Deliver one substantial AI-enabled improvement end-to-end: discover → design → build → test → deploy/hand over → measure impact.
Ready to start your journey?
Book a discovery call to learn how this course can accelerate your career while delivering value to your employer.