CORSO 01 · NOEVA ACADEMY
The foundations for working with AI
Collaborate with generative AI effectively, critically and responsibly — whatever your role.
Anyone: managers, office staff, professionals, operational and staff teams. No technical skills required.
Basic use of a computer and browser. No programming or AI knowledge needed.
Collaborate with generative AI effectively, critically and responsibly — whatever your role.
A method, not tricks
The 4-skills framework (Delegation, Description, Discernment, Diligence) gives you a repeatable grid for any AI tool, today and tomorrow.
Lab-heavy by design
Most of the time is guided practice on real cases: theory is kept to the essentials.
An operational kit that stays
Prompts, templates and checklists handed over as a reusable kit: you leave with tools ready for your job.
Responsible, safe use
Privacy, data security and output verification covered throughout, with GDPR notes.
- Understand what generative AI tools are and how they work, without jargon.
- Decide when it is worth using AI and when not (the Delegation skill).
- Write clear, effective requests (prompts) — the Description skill.
- Critically assess AI answers, spotting errors and limits (the Discernment skill).
- Use AI ethically, safely and in compliance with privacy (the Diligence skill).
- Apply AI to daily tasks with a ready-to-use kit of prompts and templates.
By the end, participants can independently integrate AI into their recurring work, recognise the main risks (hallucinations, bias, sensitive data) and own a structured method — the 4-skills framework — to tackle any new AI tool they meet in the future.
8 modules · 32 lessons
Module 01 Understanding generative AI 2 hours · 4 lessons
Objective Build a correct mental model of what generative AI is (and is not), to use it consciously.
- 1.1 What generative AI is
Difference between traditional automation and generative AI; what a “language model” is; everyday examples (assistants, text and image generators).
- 1.2 How a model “reasons”
An intuitive take on text prediction; why AI is probabilistic and not a database of truth.
- 1.3 Capabilities and limits
What AI does well (summaries, rewriting, drafts, brainstorming) and where it fails (hallucinations, maths, recent facts, sources).
- 1.4 The tool landscape
Conversational assistants, tools built into business apps, multimodal generators; criteria to navigate them.
Module 02 The 4-skills framework (AI Fluency) 2 hours · 4 lessons
Objective Introduce the method that structures the whole course: the four skills for collaborating with AI.
- 2.1 Why you need a method
From random trial-and-error to a repeatable approach; what being “fluent” in AI means.
- 2.2 The 4 Ds at a glance
Delegation, Description, Discernment, Diligence: definition and role of each.
- 2.3 The collaboration cycle
How the four skills interweave in a real workflow.
- 2.4 Initial self-assessment
Participants measure their current level on each of the 4 skills.
Module 03 Delegation — deciding when and how to use AI 2 hours · 4 lessons
Objective Learn to choose whether, when and how much to involve AI in a task.
- 3.1 What to delegate
Criteria to decide which parts of a task to hand to AI and which to keep.
- 3.2 The risk factor
Assess the impact of a possible error before delegating; low- and high-risk tasks.
- 3.3 Splitting the work
Break a complex task into steps the AI can handle.
- 3.4 Staying in control
The person’s role as supervisor and ultimate owner of the result.
Module 04 Description — writing effective prompts 3 hours · 4 lessons
Objective Acquire techniques to phrase requests that produce useful results.
- 4.1 Anatomy of a good prompt
Context, goal, desired format, constraints, examples; why clarity beats length.
- 4.2 Giving context and role
Give the AI the right information and “point of view” for the task.
- 4.3 Examples and format
Show examples of the wanted result; ask for output as a table, list, email, etc.
- 4.4 Iterate and refine
How to adjust with follow-up requests instead of starting over.
Module 05 Discernment — evaluating AI answers 2 hours · 4 lessons
Objective Develop the critical eye to tell when an output is reliable and when it is not.
- 5.1 Reading with a critical eye
Signs of a weak or fabricated output; don’t mistake a confident tone for correctness.
- 5.2 Fact-checking
Quick techniques to check claims, numbers and citations; when to demand sources.
- 5.3 The description-discernment loop
Use what you observe in the output to improve the next prompt.
- 5.4 Recognising bias
Stereotypes and distortions in answers; how to mitigate them.
Module 06 Diligence — responsible, safe, compliant use 2 hours · 4 lessons
Objective Ensure ethical, safe AI use that respects privacy and company rules.
- 6.1 Data and privacy
What never to put into an AI tool; personal, confidential and IP data; GDPR notes.
- 6.2 Accountability and transparency
Who is accountable for the result; when to disclose AI use.
- 6.3 Ethics and fairness
Avoid deceptive uses; respect others’ work and copyright.
- 6.4 Company policy
Build and follow internal AI-use rules.
Module 07 AI in everyday work 3 hours · 4 lessons
Objective Transfer the acquired skills to participants’ recurring tasks.
- 7.1 Communication and writing
Emails, reports, presentations, summaries of long documents and meetings.
- 7.2 Research and analysis
Summarising information, comparing options, first drafts of analysis.
- 7.3 Personal productivity
Organising ideas, to-dos, brainstorming, translations.
- 7.4 Building your own kit
Create a personal library of reusable prompts and templates.
Module 08 Project work and final assessment 4 hours · 4 lessons
Objective Consolidate the whole path by applying the 4 skills to a complete case.
- 8.1 Project work briefing
Choose a real task to carry out end-to-end with AI.
- 8.2 Guided execution
Apply the 4 skills with the trainer’s support.
- 8.3 Presentation and feedback
Share results and peer review.
- 8.4 Adoption plan
Define the next steps to bring AI into your daily work.
Classroom, live remote or blended. Max 15-20 participants to keep it interactive.
NOEVA Academy certificate of attendance upon completing the final project work.
Bring AI into your team
Tell us the roles, goals and size of your team: together we build the right edition, in the classroom or remote.