---
title: AI at Work Skill Course | Le Wagon
description: Le Wagon's programme for professionals who want to move beyond the buzz and start working with AI in a way that's practical, and immediately applicable to their role.
---

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The AI gap

## Using AI is no longer the skill. Operating it is.

AI at work today is split down the middle. One group uses it as a private shortcut, a prompt here, a summary there, and saves a few minutes while nothing about how the team actually works changes. The other group wants real transformation but stalls: endless pilots, strategy decks, and tools nobody adopts, with no way to prove any of it worked or keep it safe. The old way leaves you dependent: on IT to build it, on a vendor for the tool, on someone else to tell you whether it's working or even allowed.

- 01
  
  Stuck at the prompt
  
  You use AI one task at a time, so you save minutes here and there, but the way your team works never actually changes.
- 02
  
  Transformation stuck in slides
  
  You can picture the change but can't build it yourself, so it lives in pilots and presentations instead of your team's daily workflow.
- 03
  
  Can't prove it, can't govern it
  
  Once something is running, you can't measure whether it works, show who's accountable, or say what's safe to share, so it quietly stalls or gets shut down.

### After this program, you will:

- Spot where AI genuinely helps on your team, and where it shouldn't touch
- Build a working AI assistant and automation yourself, no code, no dev team
- Redesign a real team process around AI, with humans in control where it matters
- Run it responsibly: measured, governed, and safe to share, with data and GDPR handled

[Download Syllabus](https://info.lewagon.com/ai-at-work-course#syllabus)

Our method

## One real project, built for your own job, from day one.

Most courses hand you generic exercises or a strategy plan you still have to build later. Here you pick a real process from your own work on day one, and everything you learn goes straight into it.

- ![✔️](https://info.lewagon.com/hubfs/icons/icons-v5/check-red.svg)
  
  Choose a real process from your own job on day one, not a sample project
- ![✔️](https://info.lewagon.com/hubfs/icons/icons-v5/check-red.svg)
  
  Every exercise compounds into one project, your red thread, built across the whole program
- ![✔️](https://info.lewagon.com/hubfs/icons/icons-v5/check-red.svg)
  
  Walk out with a working system tailored to your role, ready to use the day you are back at work

[Apply now](https://www.lewagon.com)

![70-30-padded@4x](https://info.lewagon.com/hs-fs/hubfs/70-30-padded@4x.png?width=547&height=400&name=70-30-padded@4x.png)

What You'll Master

## Course Learning objectives

Move from using AI to operating it: you spot where it helps, build the system yourself, and run it safely once it's live.

![Red check icon](https://info.lewagon.com/hubfs/icons/icons-v5/check-red.svg)

##### Spot & Prioritise

Map your recurring tasks, understand what AI can and can't do, and select the right solution for each, so you invest only where it genuinely creates efficiency.

![Red check icon](https://info.lewagon.com/hubfs/icons/icons-v5/check-red.svg)

##### Prompt for Real Deliverables

Write precise, contextualised prompts that turn generative AI into reliable reports, summaries and analyses, shaped to each type of output you actually produce.

![Red check icon](https://info.lewagon.com/hubfs/icons/icons-v5/check-red.svg)

##### Redesign How the Team Works

Map your team's tasks, roles and data flows, then reorganise them around AI, deciding what the machine handles and what people own, for measurable efficiency gains.

![Red check icon](https://info.lewagon.com/hubfs/icons/icons-v5/check-red.svg)

##### Produce Content That Lands

Create and improve professional content, from reports and summaries to dashboards, visuals and multimedia, keeping it accessible to everyone and light on environmental footprint.

![Red check icon](https://info.lewagon.com/hubfs/icons/icons-v5/check-red.svg)

##### Work Responsibly by Default

Build verification, data protection, ethical use and accessibility into how you work, so every output is checked, safe and trustworthy before it ships.

![Red check icon](https://info.lewagon.com/hubfs/icons/icons-v5/check-red.svg)

##### Mesure & Govern

Track whether your AI actually performs, then set the governance habits that make adoption durable and accountable instead of a one off experiment.

Curriculum

## What you’ll learn in Le Wagon’s AI at Work course.

A hands-on programme for professionals who want to move beyond the buzz and start working with AI in a way that's practical, responsible, and immediately applicable to their role.

[Download Syllabus PDF](https://info.lewagon.com/ai-at-work-course#syllabus)

- 1\. AI fundamentals
- 2\. Agentic AI
- 3\. Automation Part 1
- 4\. Automations Part 2
- 5\. Capstone Project

8h

### AI Fundamentals & Responsible Use

Read the AI landscape clearly, spot which of your recurring tasks are worth automating, and set responsible-use ground rules before you build anything.

What You'll Build

- A prioritised opportunity map of your team's tasks, scored on a readiness grid, with your red-thread use case selected
- A set of reusable, contextualised prompt skills
- A team AI-use charter defining approved tools, data rules, disclosure and accessibility standards

8h

### Agentic AI & Document Intelligence

Move from one-off prompts to a persistent AI assistant with its own knowledge, rules and boundaries and put it to work reading and summarising your real documents.

What You'll Build

- A custom AI assistant configured for your role, with its own knowledge base,
- A structured report or briefing note generated from your own professional documents
- At least one non-textual deliverable: a dashboard, visual summary or multimedia brief

8h

### Reshaping workflows with AI

Connect AI to your other tools and build end-to-end workflows that trigger, process and deliver on their own with humans kept in control where it matters.

What You'll Build

- A redesigned team process map showing where AI steps in, where people stay in control, and how roles shift
- An email and communication triage workflow that classifies by urgency and topic and drafts responses in your voice
- An end-to-end automation for your red-thread use case, connected to your module 2 assistant

8h

### Performance, Safety & Governance

Extend your automation with conditional logic, multiple steps, and make it durable. Then measure whether it works, map its risks, and govern who owns and runs it.

What You'll Build

- A multi-step automation with conditional logic, packaged with a shareable interface and a usage guide a colleague can follow unaided
- A structured performance review of your tool: defined KPIs, an error log, and one optimisation
- A risk and governance map

8h

### Build your professional use case

The project phase is the ultimate experience of the course around a product of your own. Throughout the programme, you’ll develop one project connected to your professional reality. In this last module, it all comes together: Finalise, test, document, and present the workflow you have built.

Your Final Project Brings Together

- The problem your team is trying to solve.
- The current process and its sources of friction.
- The success criteria and performance indicators.
- The changes required across the team.
- The data, privacy, and responsible-use decisions.

Upcoming sessions

## Join our next sessions

Learn online or on one of our campuses worldwide.   
**Full-time intensive or Part-time flexible option.**

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## Lead Your Team Into the Age of AI

Download the full syllabus to see the complete curriculum, and exactly what you'll learn & build during the course.

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Detailed module breakdowns and project specifications

![✔](https://info.lewagon.com/hubfs/icons/icons-v5/check-white.svg)

Prerequisites checklist

![✔](https://info.lewagon.com/hubfs/icons/icons-v5/check-white.svg)

Admission process

![✔](https://info.lewagon.com/hubfs/icons/icons-v5/check-white.svg)

FAQ

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### Download our AI at Work syllabus

FAQ

## Your questions answered

## What are the prerequisites to join the program?

 You do not need prior AI or AI tools experience. You do need curiosity, autonomy with digital tools and a working English level.

## I'm working full-time, do you offer a part-timer version ?

 Yes. Alongside the full-time option, we offer a part-time format so you can train without quitting your job. It's available on selected campuses around the world, and also as a flexible, 100% online part-time option. For 5 weeks instead of 5 days, you build the exact same skills as the full-time track at a pace that fits around your work.

## Will I build something I can actually use at work?

 Yes. The whole program is built around one real process from your own job. You don't practise on sample cases, you build a working system you can put to use the day you're back at work.

## Is the training suitable for people with disabilities?

 Absolutely. Le Wagon's courses are open to everyone. We believe that with the right motivation, anyone should have equal access to a career in tech and we've been putting that into practice since day one.Our campuses are accessible to people with reduced mobility. If you have any specific needs or constraints related to a disability, you can flag them directly during the application process. We'll make sure the right accommodations are in place from your motivation interview through to the last day of training.

## Is the training eligible for public funding?

 This course is not eligible for public funding. However, our admissions team will walk you through our financing options and help you find the best funding solution during your admission interview.

## Do I get a certificate at the end of the course?

 Yes. Upon successful completion, you'll receive an official Le Wagon course completion certificate ready to add to your LinkedIn profile and CV.

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