Artificial Intelligence - Beginners

Formation créée le 06/05/2025.
Version du programme : 1

Type de formation

Formation présentielle

Durée de formation

7 heures (1 jour)

Artificial Intelligence - Beginners


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 de la formation

  • 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

Profil des bénéficiaires

Pour qui
  • 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

Contenu de la formation

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

Équipe pédagogique

Professionnel expert technique et pédagogique.