Generative Artificial Intelligence for Scientific MonitoringHome Training Catalog 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 English 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 : 17 March 2025 Register Ask for a quote Are you looking for information about a training course? You want to set up a customized training session? Contact our pedagogical team! Notice: JavaScript is required for this content. 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. 17 and 21 March Register Ask for a quote 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. 31 March01, 02 and 03 April Register Ask for a quote 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… 01 and 02 April Register Ask for a quote 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 04 April Register Ask for a quote 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 Register Ask for a quote 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 Register Ask for a quote 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 Register Ask for a quote 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 Register Ask for a quote 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 June03 July Register Ask for a quote Previous Next
