Scientific graphs with PRISMHome Training Catalog Scientific graphs with PRISM Analysis Chemistry and biology On-site courses Remote/Virtual Face-to-face English French Objectives Discover all the possibilities offered by PRISM to get the graph you want, automated plotting of fit curves included. Please contact us if you would like to have this training course held in English. Download the full program Duration 7 hours Level Beginner Audience Any user who needs to graph numerical or qualitative data. The examples and data used in the exercises are of a scientific nature and are drawn mainly from the natural sciences (medicine, pharmacy, biology, etc.). Participants 8 people maximum Instructor Stefano Caruso Bioinformatician, passionate about bioinformatics and statistics, Stefano works mainly on various large scale/high throughput biological data. On-site courses: please contact us for a personnalized offer. 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 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… 07 and 08 July 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 09 July 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. 10 and 11 July Register Ask for a quote Upcoming trainings Intelligence Artificielle Générative Artificial Intelligence for Scientific Article Writing Objectives Learn the inherent rules of scientific article writing Understand how Generative AI works and master Prompt Engineering Use AI for article writing: assistance with structure, reformulations, translations… 07 October 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 09 October Register Ask for a quote 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. 21 and 24 October 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. 28 and 31 October 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 10 November Register Ask for a quote Previous Next
