Generative Artificial Intelligence for Scientific Monitoring

Intelligence Artificielle Générative
Open Source
Publishing
Scientific communication and writing
Short courses
On-site courses
Remote/Virtual
Face-to-face
French
English
French

Objectives

  • Describe the general working principle of Deep Learning and Generative Artificial Intelligence.
  • Use advanced prompting techniques to meet business needs.
  • Synthesize articles and scientific content by producing concise summaries that highlight key points and main conclusions.
  • Improve technological monitoring by configuring, customizing, and automating generative artificial intelligence tools to monitor and summarize the latest research published in specific fields.
  • Identify key points in a specific scientific field and detect missing research topics needed to complete an existing theoretical model.
  • Translate articles.

Prerequisites:

  • Proficiency with computer tools, internet connection, no chatbot experience required, shareable learner’s educational support.

Educational and Supervisory Means:

  • Tools used: Consensus, ChatGPT, Perplexity, QuillBot
  • Sessions with the trainer, digital educational support, alternating between theory and practice.

Monitoring and Evaluation System for Acquired Skills:

  • Practical application and exercises between the 2 sessions, evaluation of the training at the end.

Expected Results & Skills at the End of the Training:

  • At the end of this training, the participant will have acquired the basics of Generative Artificial Intelligence and will have access to free tools to enrich their scientific monitoring work.

Program

Part 1: Basics of AI and Prompt Engineering (1h30)

  • Describe the general working principle of a generative artificial intelligence
  • Discover prompt engineering

Part 2: Uses of Prompt Engineering (1h30 + 30min practical work)

  • Describe the main models of prompt engineering
  • Share use cases in the fields of research and education
  • Create multiple resources: summaries, articles, translations, presentations, etc.

Part 3: Going Further with Generative AI – Case Studies & Tools (3h00 + 30min practical work)

  • Experiment with creative uses of AI to generate content, brainstorm, and argue
  • Discover generative AI tools to make life easier (Chatbase, Custom GPT, Brancher.ai, Scispace, etc.). Example: create a GPT to automate the formatting of references
  • Discuss the challenges and upheavals of generative AI for the sector: ethics, copyrights, security…
Duration
7 hours
Level
Beginner
Audience
Professionals in the field of scientific monitoring & competitive intelligence, such as librarians, researchers, and other stakeholders involved in managing and analyzing scientific content.
Participants
8 people maximum

Instructor

Clément C
A chemical engineer by training, with 10 years of experience in multimedia training, Clément is an expert in educational engineering, design, and multimedia production.
Inter-company sessions 2025 - 1st semester [on 2 half-days scheduled remotely] in french:

- March 17th and 21st [Group A: 09:00/12:30]

- March 17th and 21st [Group B: 14:00/17:30]

- May 19th and 23rd [09:00 to 12:30]

- June 24th and July 1st [Group A: 09:00/12:30]
- June 24th and July 1st [Group B: 14:00/17:30]

700 EUR excluding VAT per person.

For in-house sessions, please contact us for a personalized quote.
Next session : 
21 October 2025
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