AI Training Programme Template
A structured template for planning and delivering an AI training programme across your organisation. Covers skills assessment, role-based curriculum design, delivery methods, and progress tracking to build AI literacy from the boardroom to the front line.
Overview
What's included
Skills Gap Assessment
Skills Gap Assessment
Organisation: Assessment date: Programme lead:
Current AI Skills Inventory
Survey your teams to assess current AI knowledge:
| Skill Area | Beginner (%) | Intermediate (%) | Advanced (%) | Target Level |
|---|---|---|---|---|
| AI concepts and terminology | % | % | % | |
| Prompt engineering / AI tools | % | % | % | |
| Data literacy | % | % | % | |
| AI ethics and governance | % | % | % | |
| AI project management | % | % | % | |
| Machine learning fundamentals | % | % | % | |
| AI implementation / MLOps | % | % | % |
Priority Gaps
Based on the assessment, the top 3 skill gaps are:
- Gap: | Impact: | Priority: High/Medium/Low
- Gap: | Impact: | Priority: High/Medium/Low
- Gap: | Impact: | Priority: High/Medium/Low
Role-Based Training Needs
| Role Group | Headcount | Required Training | Priority |
|---|---|---|---|
| Executive leadership | AI strategy and governance | High | |
| People managers | AI tools + managing AI-augmented teams | High | |
| Business analysts | AI tools + data literacy + prompt engineering | High | |
| Software engineers | AI integration + MLOps + prompt engineering | High | |
| Customer-facing staff | AI tools + AI acceptable use | Medium | |
| All employees | AI awareness + acceptable use | Medium |
Curriculum Design
Curriculum Design
Track 1: AI Awareness (All Employees)
Duration: 2 hours | Format: E-learning + live Q&A Learning objectives:
- Explain what AI is and is not
- Identify common AI tools and their appropriate use
- Apply the AI acceptable use policy to daily work
- Recognise ethical considerations when using AI
Modules:
- What is AI? (30 min) — Key concepts, capabilities, and limitations
- AI tools at work (30 min) — Approved tools, practical demonstrations
- Data safety and AI (30 min) — What data to share and what to protect
- Responsible AI use (30 min) — Ethics, bias awareness, and escalation
Track 2: AI Practitioner (Business Users)
Duration: 8 hours over 4 weeks | Format: Workshops + hands-on exercises Learning objectives:
- Write effective prompts for different business tasks
- Use AI tools to improve productivity measurably
- Evaluate AI output quality and identify errors
- Apply AI to real business problems in their role
Modules:
- Prompt engineering fundamentals (2 hrs)
- AI for writing and communication (2 hrs)
- AI for analysis and research (2 hrs)
- Building AI-powered workflows (2 hrs)
Track 3: AI Builder (Technical Teams)
Duration: 24 hours over 8 weeks | Format: Technical workshops + project Learning objectives:
- Design and implement AI-powered features
- Build and evaluate RAG pipelines
- Implement AI security best practices
- Deploy and monitor AI systems in production
Modules:
- LLM APIs and integration patterns (3 hrs)
- Prompt engineering for developers (3 hrs)
- RAG architecture and implementation (6 hrs)
- AI agent design and safety (6 hrs)
- Testing, monitoring, and MLOps (6 hrs)
Delivery Plan & Progress Tracking
Delivery Plan
Timeline
| Phase | Activity | Dates | Owner |
|---|---|---|---|
| 1 | Skills assessment survey | Week 1-2 | |
| 2 | Curriculum finalisation | Week 3-4 | |
| 3 | Content development / procurement | Week 5-8 | |
| 4 | Track 1 rollout (all employees) | Week 9-12 | |
| 5 | Track 2 rollout (business users) | Week 10-16 | |
| 6 | Track 3 rollout (technical teams) | Week 10-20 | |
| 7 | Programme evaluation | Week 22 |
Delivery Methods
| Method | Best For | Tools |
|---|---|---|
| Self-paced e-learning | AI awareness (Track 1) | |
| Live workshops | Hands-on practice (Track 2, 3) | |
| Lunch-and-learn sessions | Ongoing learning | |
| AI champions network | Peer support and knowledge sharing | Slack/Teams channel |
| External courses | Specialist skills (Track 3) |
Budget
| Item | Cost | Notes |
|---|---|---|
| E-learning platform / content | £ | |
| External trainers / facilitators | £ | |
| External courses (Track 3) | £ | per person x people |
| Employee time (opportunity cost) | £ | hours x avg hourly rate |
| Materials and tools | £ | |
| Total | £___ |
Progress Tracking
| Metric | Target | Current | Status |
|---|---|---|---|
| Track 1 completion rate | > 90% | % | On track / Behind |
| Track 2 completion rate | > 80% | % | On track / Behind |
| Track 3 completion rate | > 80% | % | On track / Behind |
| Average assessment score | > 75% | % | On track / Behind |
| Employee satisfaction (training) | > 4/5 | /5 | On track / Behind |
| AI tool adoption rate (post-training) | > 50% | % | On track / Behind |
Instructions
How to use this template
Run the skills assessment first
Survey your teams to understand current AI knowledge levels. This ensures training is targeted, not generic.
Assign employees to the right track
All employees get Track 1. Business users who work with AI tools get Track 2. Technical teams building AI get Track 3.
Mix delivery methods
Combine self-paced learning for theory with live workshops for hands-on practice. Reinforce with ongoing lunch-and-learn sessions.
Measure outcomes, not just completion
Track whether training leads to actual AI tool adoption and productivity improvements, not just completion rates.
Watch Out
Common mistakes to avoid
FAQ
Frequently asked questions
Costs vary widely. A basic programme using free resources and internal facilitators can cost under £5,000. A comprehensive programme with external trainers and licenced content typically costs £500-2,000 per employee. The biggest cost is often employee time.
Track 1 (awareness) can be completed in 2 hours. Track 2 (practitioner) typically runs over 4 weeks with 2 hours per week. Track 3 (builder) runs over 8 weeks. Plan for the full programme to roll out over 3-5 months.
Track 1 (AI awareness and acceptable use) should be mandatory for all employees, similar to data protection training. Tracks 2 and 3 can be voluntary but strongly encouraged for relevant roles.
Build a modular curriculum that can be updated without redesigning the whole programme. Supplement formal training with an AI champions network and monthly update sessions covering new tools and developments.
Use a mix: buy generic AI literacy content (it is widely available) and build custom content for your specific tools, policies, and use cases. Your acceptable use policy training should always be custom.
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