Publishing
On-site courses
Remote/Virtual
Face-to-face
French
Objectives
- Creating your bibliographic database
- Organize and manage your references with EndNote
- Feed your database with new references through various exports: DOI, PDF, websites,…
- Cite your bibliographic references with EndNote and publish documents with Microsoft Word, articles containing bibliographic references
- Exchange and share your references
Please contact us if you would like to have this training course held in English.
Duration
7 hours
Level
Beginner
Audience
Engineers, researchers, doctors, PhD students in all scientific disciplines, students, librarians, anyone who wants to manage their bibliography.
Participants
8 people maximum
Please contact us for a personnalized offer.
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Contact our pedagogical team!
Upcoming trainings
Intelligence Artificielle Générative
Artificial Intelligence for Image Analysis
Objectives
- Acquisition of the basics in image analysis
- Mastery of tools and techniques for AI-assisted analysis
- Hands-on practice and development of image pipelines using Generative AI
08 and 15 April
Upcoming trainings
Intelligence Artificielle Générative
Integrating Artificial Intelligence into your scientific teams
Objectives
- Understand Generative AI, its functioning, and its limitations
- Explore the applications of Generative AI and use cases for scientists
- Define a plan for integrating Generative AI into your team/laboratory and prioritize the first actions
13 May
Upcoming trainings
Intelligence Artificielle Générative
Introduction to R for Basic Statistical Analysis with the Help of Generative AI (Beginner)
Objectives
- Discover the fundamentals of R and generative AI tools.
- Learn the basics of descriptive statistical analysis and apply them to real-world datasets.
- Learn how to automate common tasks in R using generative AI.
- Master the creation of simple visualizations and data presentation.
- Get introduced to the concepts of simple regressions and hypothesis testing.
- Generate workflows and automated reports with R Markdown.
19, 20, 22 and 23 May
Upcoming trainings
Intelligence Artificielle Générative
Generative Artificial Intelligence for Scientific Monitoring
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.
19 and 23 May
Upcoming trainings
Intelligence Artificielle Générative
Generative AI for Qualitative Analysis
Objectives
- Understand the fundamentals of generative AI and its applications.
- Master AI-assisted qualitative analysis techniques.
- Use AI for analyzing and presenting qualitative data.
02 and 03 June
Upcoming trainings
Intelligence Artificielle Générative
Artificial Intelligence for Scientific Communication and Popularization
Objectives
- Understand the fundamentals of Generative AI and its applications in communication
- Use AI in communication strategy: defining target audiences, structuring messages, choosing formats…
03 and 04 June
Upcoming trainings
Intelligence Artificielle Générative
Enhance your statistical analyses with R and Generative AI (Advanced)
Objectives
• Deepen your mastery of R to perform advanced statistical analyses.
• Discover and leverage generative AI tools to automate common tasks in data analysis.
• Optimize analytical processes by integrating automated workflows.
• Structure complex workflows effectively and innovatively.
• Strengthen the understanding and application of advanced statistical concepts to real and simulated cases.
09, 10, 12 and 13 June
Upcoming trainings
Intelligence Artificielle Générative
Prompt Engineering
Objectives
- Describe how a Generative AI (GenAI) works in order to optimize its use in daily tasks
- Apply prompt engineering methods to use GenAI tools effectively
- Identify use cases within your professional environment
19 June
Upcoming trainings
Intelligence Artificielle Générative
Generative Artificial Intelligence for Research Education
Objectives
- Discover the general principles of Deep Learning and Generative Artificial Intelligence, and benefit from the potential of Generative AI tools.
- Use advanced prompting techniques to meet business needs.
- Classify generative AI tools according to the media they implement (text-to-text, text-to-image, etc.), and select the right tool for a specific use case.
- Produce educational activities such as course notes, study guides, or chapter summaries to assist students in their learning.
- Design exams and quizzes based on the training content developed for students, saving time in course preparation.
- Generate scenarios or case studies for group projects, based on current topics or scientific advancements, to expand the possibilities of course facilitation (content, group workshops, etc.).
- Adapt your teaching and prepare your students for the Generative AI revolution.
26 June
03 July
03 July
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