Artificial Intelligence - Beginners
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Formation créée le 06/05/2025.
Version du programme : 1
Programme de la formation
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.
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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).
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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.
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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.
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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?
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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.