IA & Data

Artificial Intelligence - Beginners

1 jour(s) • 7h

Description

Training Objective: Provide participants with a foundational understanding of artificial intelligence (AI), its mechanisms, its responsible use, and its applications across departments. Emphasis is placed on building prompt-writing skills and developing a critical mindset when using AI tools such as GlenGPT, ChatGPT, and Microsoft Copilot.

Objectifs pédagogiques

Describe how AI works in simple terms and explain the data mechanisms behind it
Create effective and context-aware prompts in common AI tools
Critically evaluate AI responses and spot risks
Recognize the ethical and geopolitical implications of AI adoption
Apply safe AI usage practices
Identify relevant use cases in their own role or department

Public concerné

Professionals across all departments (e.g. HR, trading, legal, operations) with no or limited prior experience with AI tools.

Prérequis

Basic digital literacy

No technical background in AI or programming required

Déroulé du programme

What is AI? How does it work? (1h30)

Brief history of AI
Basic functioning: data, models, algorithms
Storage and flow of data
Hands-on activity : Interactive quiz and visual exercises on the AI lifecycle; explore model demos to illustrate training and inference.

Geopolitical and Ethical Aspects of AI (1h00)

Global competition and regulation
Responsible AI: biases, transparency, and ethics
Impact on jobs and society
Hands-on activity : Group discussion using real-world geopolitical cases (e.g. ChatGPT bans, AI in elections).

Prompt Engineering Basics (1h30)

Understanding prompts and completions
Prompt patterns: instructions, context, examples
Testing prompts in different tools (GlenGPT, ChatGPT, Copilot)
Hands-on activity : Prompt writing workshop: test and compare 3 types of prompts across tools, optimize prompts for clarity and intent.

Assessing and Questioning AI Results (1h00)

Evaluating reliability and confidence
Spotting hallucinations and inconsistencies
Creating validation checklists
Hands-on activity : Case-based analysis: compare AI-generated outputs, find inconsistencies, and validate results using manual fact-checking.

AI Do’s & Don’ts (30 min)

What to avoid with AI tools (security, legal, compliance)
What to encourage (collaboration, ideation, productivity)
Hands-on activity : Interactive voting and discussion: AI practices in your department – safe or risky?

Department-Specific Use Cases (1h30)

Overview of use cases: HR, finance, trading, operations
Custom examples with GlenGPT and Copilot
Brainstorm: identifying your own team’s use cases
Hands-on activity : Workshop by department - Define a concrete use case, test AI on a task, present findings to the group