AI Literacy
End-to-end AI literacy for responsible, confident adoption
About AI Literacy Training
A complete, end-to-end AI Literacy training built for team autonomy. In this training, participants build a clear understanding of modern AI (from Machine Learning to Generative AI), learn how to interact with AI tools efficiently (prompting + evaluation), and develop the right reflexes for responsible use at work (ethics, legal and compliance boundaries).
This training also supports the AI literacy expectation in the EU AI Act: organisations using AI systems must take measures to ensure a sufficient level of AI literacy for staff and others operating AI on their behalf, adapted to context and profiles.
The eaQbe Methodology: Incremental Learning Autonomy Process
We don’t believe in training that overwhelms participants with theory. We believe in structured immersion. Our “3-Stage Autonomy Arc” ensures concepts aren’t just understood ; they’re truly mastered.
1) AI Fundamentals
Participants get a clear foundation: what Machine Learning is, how models learn, what neural networks do, and how Generative AI differs - plus what these systems can and can’t reliably do.
2) Prompting & Evaluation
Participants learn prompting patterns that consistently produce usable outputs (context, constraints, expected format), how to iterate and refine, and how to evaluate results critically (errors, bias, missing context, “confident wrong” outputs).
3) Workflows & Agentic Execution
Participants apply AI to common workflows: communication, content creation, analysis, knowledge retrieval, and automation. They learn how to choose tools, test them, and structure repeatable workflows,without turning AI into a black box.
Continuous knowledge validation
Each module reuses the previous one: understanding → prompting → application. Concepts are intentionally re-applied in new exercises so mastery builds progressively across the two days.
Learning outcomes
- A clear, shared AI baseline (how it works, what it’s good at, where it fails)
- Prompting skills that improve output quality and reduce trial-and-error
- The ability to test AI tools and judge output reliability with simple evaluation habits
- Practical workflow patterns for productivity (communication, writing, synthesis, analysis, retrieval)
- Responsible-use reflexes aligned with workplace expectations and AI literacy obligations in the EU AI Act
Practical details
- Format: Half-day interactive workshops
- Group size: 6–10 participants
- Prerequisites: none
- Follow-up: evaluation + practical exercises to anchor post-training
From AI Basics to Responsible, High-Impact Workflows
Module 1 - AI Foundations & Machine Learning
Key concepts explained clearly: supervised learning, classification vs regression, prediction logic, neural networks, and what “training data” implies for outcomes.
Module 2 - Generative AI Essentials
How generative models produce text and content, what “context” changes, why hallucinations happen, and how to set expectations in professional use.
Module 3 - Prompt Engineering That Works
A practical framework for prompts (goal, context, constraints, output format), iteration techniques, and reusable prompt patterns for teams.
Module 4 - Generative AI Tools Lab
Hands-on testing of text, visual, and audio tools with simple evaluation criteria: quality, consistency, speed, limitations, and fit-for-purpose.
Module 5 - Business Applications & Workflow Acceleration
Applying AI to day-to-day work: communication, content production, analysis support, knowledge retrieval, and decision-support workflows.
Module 6 - Ethics, Legal & Governance Essentials
Bias awareness, confidentiality boundaries, documentation habits, and responsible-use principles—aligned with organisational AI literacy measures expected under the EU AI Act.
Final outcome
Participants can apply AI confidently in everyday work: they understand the fundamentals, prompt effectively, evaluate outputs critically, and structure safe, repeatable workflows.
What makes eaQbe's trainings right for your team ?
Scenario-based learning
Our training bridges the gap between concepts and reality. We immerse participants in realistic business scenarios, ensuring skills are directly applicable to your specific challenges.
Trainings led by experts
Our trainers are data science specialists with solid teaching experience. They make complex topics accessible through a clear, structured approach focused on practical application
Progressive autonomy & mastery
Each participant is guided step by step in their learning journey: from theory and demonstrations to guided exercises, leading to full autonomy.