AI Education / Foundations
AI-Human Foundations
AI literacy applied to the organisation's real work.
Conditions
- Format
- In-person, remote or hybrid programme with workshops and practical exercises.
- Duration
- 8 to 12 hours, adjustable to the company's context.
- Participants
- Minimum of 10 participants per company.
Direct definition
A shared foundation for applying AI with judgment.
Before adopting, automating or governing AI, the team needs to understand the technology with shared language, context and responsibility.
What it is
AI-Human Foundations is the baseline programme for leaders and teams to understand AI, limits, opportunities, risks and practical ways to integrate it into decisions, productivity and workflows.
Why it matters
It creates a shared language before the company moves into adoption, governance or automation.
Adaptation
The programme is adapted to sector, tools used, digital maturity and participant roles.
Who it is for
Teams that need to turn literacy into better work.
- Management teams
- Operational teams
- Departments starting AI adoption
- Organisations that need a shared foundation
Learning outcomes
By the end, the team can apply AI with judgment.
- Understand essential concepts in generative, predictive and agentic AI.
- Identify useful use cases and fragile use cases.
- Apply validation, security and responsibility criteria.
- Create an initial list of application opportunities in real work.
Curriculum
Modules designed for practical application.
How AI changes work
Outcome: Understand AI as a cognitive and operational shift.
Practice: Map tasks where the team already feels friction, repetition or lack of context.
Use cases, limits and risk
Outcome: Distinguish good uses from fragile or unsafe uses.
Practice: Classify real cases by impact, risk and maturity.
Prompts, context and validation
Outcome: Create useful instructions and validate outputs with criteria.
Practice: Redesign a recurring task with prompt, context and a validation checklist.
Opportunities for the company
Outcome: Prioritise next adoption steps with impact.
Practice: Build an initial AI-Human opportunity map.
Prerequisites
- No previous technical knowledge required.
Assessment
- Applied exercises
- Opportunity map
- Validation criteria by team
Deliverables
- AI-Human foundations guide
- Opportunity map
- Responsible use checklist
FAQ
Common questions about this training.
Is this training technical?
No. It is practical literacy and application training for non-technical teams and leaders who need to use AI with judgment.
What is the minimum number of participants?
The programme is sold to companies with a minimum of 10 participants.
Training plan
Let's adapt this training to your team's reality.
Share context, number of participants and objectives. We will respond with the best format to turn learning into operational capability.