Official program

Program overview

What you will be able to do

Reduce the load of repetitive tasks (emails, documents, reporting, checklists).
Master the approved tools (Microsoft 365, Gemini, Notebook LM, ChatGPT) in GDPR compliance.
Build deliverables: templates, lightweight agents, dashboards, a prompt library.
Set up a quality protocol (intermediate evidence, double-checks) that ensures reliability.
Prepare an industrialization roadmap for after the course.

Course outline

3 sessions · 11 modules

Session 1 4 h

AI overview & business framing

Understand, explore, frame.

1.1 - 1 h

Introduction to generative AI

Key concepts (LLM, prompt, token, context). Telling generative AI, analytics and automation apart. Limits: hallucinations, bias, confidentiality. Live demo, interactive quiz.

1.2 - 1 h

Tool ecosystem & governance

Scope of approved tools. IT constraints. GDPR rules. An "allowed / tolerated / forbidden" matrix for sensitive data. Hands-on anonymization exercise.

1.3 - 1 h 30

Use cases & prioritization

Inventory of repetitive tasks. Effort / value matrix. Selecting 4-5 pilot cases for session 2.

1.4 - 30 min

First steps: prompts

Structured prompts (role, context, task, format, constraints). Few-shot, chain-of-thought, negative instructions.

Session 2 8 h

Hands-on workshops on real cases

Build, test, iterate.

2.1 - 2 h

Handling email at scale

Parsing and classifying emails. Context-aware draft replies. Excel scoring export. Workflow: inbox → AI agent → report. QA by sampling.

2.2 - 2 h

Compliance checklists & case-file verification

Automating document checks. Detecting missing items, equivalences (English-language → French standards). Pipeline: ingestion → assisted decision → supporting evidence.

2.3 - 2 h

KPI reporting & dashboards

Excel dashboard connected to a CRM export. Defining and aligning KPIs. AI-generated formulas. Alerts on individual variances.

2.4 - 2 h

Written content & brochures

Context-aware templates. Brochure: raw content → PDF in 3 iterations. Multilingual rewrites (FR/EN/ES). Quality-control prompts.

Session 3 8 h

Consolidation and capitalization

Embed, equip, empower.

3.1 - 1 h 30

Feedback & adjustments

Analyzing between-session results. Roundtable. Collectively resolving blockers. Updating the effort / value matrix.

3.2 - 2 h 30

Lightweight agents & local automations

A "mail → report" agent. Teams/email alerts for uncontacted leads. Outlook automation proof of concept. Using call transcripts.

3.3 - 1 h 30

Notebook LM & document capitalization

Aggregating and querying large corpora. Periodic summaries. Pattern detection. A quality document base.

3.4 - 1 h 30

Prompt library & operational guide

Shared prompts (generic + business-specific). Usage guide and checklists. Defining responsibilities.

3.5 - 1 h

Roadmap & wrap-up

Summary of deliverables. Industrialization roadmap. Hosting and monitoring plan. Final assessment.

Register for this course

For the full mandatory details (terms, accessibility, assessment), see the catalog.

Accessibility: this programme is open to people with disabilities. Our disability lead, Angélique Bensalah (a.bensalah@way-up.io), reviews the required adjustments in a preliminary interview, and refers you to a competent partner if we cannot meet the need. Complaints: same contact, acknowledged within 5 working days and answered within 15 working days (procedure).

Programme v1.0 · updated 7 August 2026

AI for Operational Teams