EFFISCIANCE : Introduction to Generative AIHome Training Catalog EFFISCIANCE : Introduction to Generative AI Generative Artificial Intelligence On-site courses Remote/Virtual Face-to-face English French Objectives Understand the fundamentals of artificial intelligence and how it works, especially generative AI. Get introduced to prompt engineering techniques for effective AI interactions. Develop concrete use cases to apply AI in daily tasks and professional practices. Prerequisites: Proficiency in basic digital tools (browser, copy-paste, etc.) Stable Internet connection No prior experience with AI or chatbots required Educational Resources and Support: Interactive sessions with the trainer: theory, demos, and practical exercises Digital course material provided Adaptable examples and exercises to specific professional contexts Assessment and Evaluation: Practical exercises during sessions Roleplays and use-case simulations Final evaluation (quiz, application, feedback) Expected Results & Competencies: At the end of the training, participants will be able to: Explain the basics and stakes of generative AI Structure and write effective prompts for various objectives Identify relevant use cases in their professional activity Use AI tools to enhance productivity (research, synthesis, content generation, etc.) Program I. Introduction to AI and How It Works Definition and key principles of artificial intelligence Evolution and impact of generative AI Ethical considerations and limitations II. Prompt Engineering: Methods and Applications Fundamentals of prompt structuring Techniques to optimize AI responses Demonstrations and best practices III. Generic Use Cases Content generation (text, images, code) AI-assisted research and data analysis Productivity improvements in professional workflows IV. Specific Use Cases Examples tailored to participants’ business needs AI applications in various sectors (research, marketing, customer service, etc.) Practical exercises and discussions Duration 3 hours Level Beginner Audience Individuals in research or scientific monitoring with no prior knowledge of generative AI. Participants 30 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. Training duration: 03h30 Intra-company: 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! Notice: JavaScript is required for this content. Upcoming trainings Generative Artificial Intelligence 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. 24 March Register Ask for a quote Upcoming trainings Generative Artificial Intelligence 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. 02 and 09 June Register Ask for a quote Upcoming trainings Generative Artificial Intelligence 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 08 June Register Ask for a quote Upcoming trainings Generative Artificial Intelligence 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… 09 June Register Ask for a quote Upcoming trainings Generative Artificial Intelligence 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. 09, 10, 11 and 12 June Register Ask for a quote Upcoming trainings Generative Artificial Intelligence 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. 22 and 23 June Register Ask for a quote Previous Next
