Course : Prompt engineering: Communicating effectively with artificial intelligences generating

Seminar - 1d - 7h00 - Ref. PEI
Price : 1100 € E.T.

Prompt engineering: Communicating effectively with artificial intelligences generating



Required course

Prompt engineering is an emerging discipline aimed at optimizing communication with generative AI models. This course will enable you to understand the fundamental principles of prompt engineering and develop the skills necessary to create effective prompts that generate specific responses or perform precise tasks.


INTER
IN-HOUSE
CUSTOM

Seminar in person or remote class
Disponible en anglais, à la demande

Ref. PEI
  1d - 7h00
1100 € E.T.




Prompt engineering is an emerging discipline aimed at optimizing communication with generative AI models. This course will enable you to understand the fundamental principles of prompt engineering and develop the skills necessary to create effective prompts that generate specific responses or perform precise tasks.


Teaching objectives
At the end of the training, the participant will be able to:
Understand the architecture of ChatGPT.
Familiarize themselves with the primary methods for writing prompts.
Generate effective prompts using ChatGPT.
Evaluate the limitations of an artificial intelligence (AI) system.

Intended audience
All individuals, especially employees who need to be informed and reassured as soon as possible about these new methods of accessing information.

Prerequisites
No specific knowledge required.

Course schedule

1
Why Generative AI Today?

  • A timeline outlining the evolution of various AI paradigms, highlighting major inventions and innovations.
  • A refresher on key concepts, including deep learning and neural networks (with emphasis on the number of parameters in a model).
  • How ChatGPT was built: the fundamental differences between the Large Language Model (LLM) component and the conversational component.
  • Potential limitations and biases arising from training data.
  • Limitations related to content moderation and OpenAI’s policies.
  • Pricing models based on token usage, along with their advantages and drawbacks.

2
Basic Techniques in Prompt Engineering

  • What is prompt engineering? Why is it essential for optimizing the use of language models?
  • Structures of prompts: open-ended, closed, pre-filled, multiple-choice, confirmation, and error prompts.
  • Creating effective prompts based on examples of tasks to be accomplished.
  • The roles of context and task specificity, including considerations for prompt length.
  • The Randomized Controlled Trial (RCT) method.
  • Analyzing the pros and cons of AI-assisted decision-making.
  • Identifying key biases (such as gender bias) and issues related to hallucinations.
  • Recognizing topics that ChatGPT restricts and analyzing its sensitivity to context.
Demonstration
Creating and testing prompts for various tasks, with and without applying steerability; comparing responses; analyzing different AI outputs to identify inconsistencies or errors.

3
Enhancing the Quality of Interactions with an AI

  • Generating prompts using ChatGPT.
  • Exploring advanced use cases, including an example using a “thought tree.”
  • Detailing techniques for crafting effective prompts (precision, context, follow-up queries).
  • The Princeton React method.
  • How to use AI for writing assistance and learning.
  • Automating data collection with ChatGPT.
Demonstration
Experimenting with complex prompt techniques in concrete use cases, comparing the performance of various prompts on given tasks, and raising awareness about chatbot vulnerabilities (e.g., Gandalf.AI).

4
Recognizing and Evaluating the Limitations of an AI

  • Learning to identify the markers of AI-generated text (style, coherence).
  • Proposing constructive improvements rather than merely dismissing AI outputs.
  • Developing a multidimensional evaluation framework.
  • Generating website code from a sketch.
  • Understanding the concept of narrow AI versus strong AI and the future of Artificial General Intelligence (AGI).
  • Comparing responses between ChatGPT and other tools with fewer parameters.
Demonstration
A comparative analysis where participants identify whether texts were written by humans or an AI, explain their reasoning, refine an AI-generated text using examples, and evaluate responses based on established criteria.


Customer reviews
4,5 / 5
Customer reviews are based on end-of-course evaluations. The score is calculated from all evaluations within the past year. Only reviews with a textual comment are displayed.
DAVID D.
24/09/26
5 / 5

A very rewarding and practical training course. The explanations are clear, the examples are relevant, and the exercises enable you to put the concepts covered into practice quickly.I particularly appreciated the tips and methods for phrasing my queries more effectively and obtaining more precise and relevant responses from AI systems. A very useful, accessible course that I can apply directly in my day-to-day work. I highly recommend this course!
RAPHAËL L.
24/09/26
5 / 5

the trainer was highly professional and a good listener
KHEMPHET K.
24/09/26
5 / 5

A really useful programme for getting started with AI – I’d recommend it. Thanks, Maxime



Publication date : 03/11/2025



This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.


This programme is an original creation, developed by the teaching teams at ORSYS Formation. Any reproduction, representation, adaptation or use, in whole or in part, without the prior written authorisation of ORSYS, is strictly prohibited. ORSYS reserves the right to take any action necessary to protect its intellectual property rights.