Applied workforce / TVET pathway
Diploma in Applied AI Workforce / TVET
Practical AI skills for tomorrow’s supervisors. A concise, skills-first pathway from AI awareness to confident workplace application.
- Duration
- 3 months / 12 weeks
- Learning style
- Hands-on, guided practice and workplace tasks
- Career focus
- From technical work to supervision
- Pilot
- Not required
With The Thames International University, Paris, France.
Overview
About the programme
The Diploma in Applied AI is a short, workplace-focused pathway for vocational and technical participants. It helps workers use AI safely and productively in day-to-day activities while building the reporting, coordination and problem-solving skills needed for supervisory roles.
Who should enrol
Technicians, skilled workers, TVET graduates, production and field personnel, administrative teams, customer-service representatives and employees moving into supervisory roles. No programming background is expected; basic workplace digital skills help.
Study journey
Indicative 3 months journey
Weeks 1–3
Become AI-ready
Digital foundations, AI basics, workplace problems, safe prompts and data hygiene.
Weeks 4–6
Use workplace AI
Documents, reporting, spreadsheets, customer handling and guided process improvement.
Weeks 7–9
Support teams
Quality checks, dashboard interpretation, job scheduling, communication and escalation.
Weeks 10–12
Demonstrate
Skills checks, practical simulations, a workplace improvement portfolio and presentation.
Key occupational competencies
Key occupational competencies
- Write effective prompts and review AI output for errors
- Prepare clear reports, instructions and simple presentations
- Use AI-assisted spreadsheets and visual summaries
- Identify process bottlenecks and standardise routine work
- Manage basic information security and confidentiality
- Escalate uncertain or safety-critical results to a supervisor
- Communicate tasks, KPIs and improvement proposals
- Coach colleagues on responsible everyday AI use
Curriculum
Detailed coverage
- 01
AI and digital workplace foundations
Common applications, opportunities and limitations, digital workflow basics and workplace readiness.
- 02
Prompting & quality assurance
Clear instructions, structured prompts, checking sources, bias, hallucinations and human review.
- 03
Documents & communications
Drafting SOPs, meeting notes, incident summaries, multilingual support and customer messaging.
- 04
Spreadsheet & data literacy
Cleaning simple data, interpreting tables, basic charts, dashboard reading and reporting exceptions.
- 05
Process and service improvement
Mapping routine tasks, reducing rework, designing checklists and measuring saved effort.
- 06
Supervisor-level AI applications
Work planning, productivity monitoring, quality assurance, team briefings and escalation logs.
- 07
Data safety & responsible use
Confidentiality, access controls, privacy, safety-critical decisions and organisational policies.
- 08
Workplace practice portfolio
Two to three practical tasks, before-and-after comparisons, supervisor feedback and a verbal demonstration.
Evidence of learning
What you submit and take forward
- Practical exercises
- AI-use log
- Evidence of reviewed outputs
- Workplace improvement proposal
A practical portfolio showing how AI can improve task quality, turnaround time, reporting and workplace communication.
Award title, credit value, admission requirements and recognition are confirmed by the awarding institution.
Talk to CEAI
Enquire about Diploma in Applied AI
Ask about entry requirements, the next intake and fees.