Mastering Effective AI Prompt Engineering

Formation inter-entreprise

À qui s'adresse la formation?

Legal professionals, compliance officers, consultants, project managers, communication leads, and other knowledge workers seeking to leverage generative AI responsibly and efficiently in their daily tasks.

Durée

5,00 heure(s)

Langues(s) de prestation

EN

Prochaine session

29.01.2026
Lieu
Luxembourg

Prix

300,00€

Objectifs

This interactive and hands-on course empowers professionals to harness the full potential of large language models like GPT-4 through expert prompt engineering. Participants will learn to design effective prompts using current reasoning methods, agentic approaches, and ethical guidelines—ensuring impactful and safe AI-assisted work.

By the end of the training, participants will be able to:

  • Design task-specific prompts using structured formats.
  • Compare and apply advanced prompting strategies such as chain-of-thought, ReAct, and agentic methods.
  • Evaluate and refine prompt quality using clear criteria • Apply ethical, policy-aware usage of generative AI in professional settings.

Contenu

  • Introduction to AI and machine learning
  • Generative AI definitions and policies (Green/Amber/Red usage categories)
  • Prompt structures and prompt types
  • Advanced prompting techniques and reasoning models
  • Agentic prompting and use of tool-assisted workflows
  • Prompt evaluation metrics and ethics
  • Hands-on exercises and peer review

Certificat, diplôme

At the end of the training course, participants will be able to download a certificate of attendance issued by the House of Training from the learner portal.

Prochaine session

Date
Ville
Language & prix
29.01.2026
Luxembourg
EN 300,00€

Informations supplémentaires

Évaluation:

The training course concludes with an exam, the successful completion of which is certified by a certificate of achievement issued by the House of Training and co-signed by the training provider. To obtain the certificate, an attendance rate of 80% at the training sessions and an average grade of 60% in the exam are required.

Autres informations:

Short lectures, hands-on prompt writing labs, peer evaluation, scenario-based problem-solving, and group discussion on ethical issues.

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