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
Prerequisites:
- Proficiency in using computers, internet connection required
- No prior experience with chatbots needed
Teaching Methods and Support:
- Tools used: Illustration of concepts with various tools like ChatGPT, Perplexity, Gladia, Gamma, Napkin, etc.
- Sessions with the trainer, digital learning materials
- Alternating between theory and practice
Monitoring and Assessment Methods:
- Practical exercises
- Feedback and evaluation at the end of the training
Expected Outcomes & Skills:
By the end of this training, participants will have acquired the fundamentals of artificial intelligence and will be able to effectively prompt using various GenAI tools. They will have access to a toolkit of free resources to enhance their daily work.
Program
Half-Day Session:
Introduction to AIs:
- History and functioning of AI
Prompt Engineering:
- Methods and applications
Professional Use Cases:
- Hands-on practice with real-world applications
Instructor
Dates:
- April 4, 2025: 09:00 AM - 12:00 PM
- June 19, 2025: 09:00 AM - 12:00 PM
Price: €500 excl. tax per person
In-company sessions: Contact us for a personalized quote.
Are you looking for information about a training course?
You want to set up a customized training session?
Contact our pedagogical team!
- 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
- 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
- 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.
- 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.
- Understand the fundamentals of generative AI and its applications.
- Master AI-assisted qualitative analysis techniques.
- Use AI for analyzing and presenting qualitative data.
- Understand the fundamentals of Generative AI and its applications in communication
- Use AI in communication strategy: defining target audiences, structuring messages, choosing formats…
• 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.
- 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
- 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.
03 July