Practical Use of Generative AI for Administrative and Support Services

This training aims to introduce participants to the practical and contextualized use of generative AI in their daily tasks. Participants will learn how to formulate effective prompts for various AI tools, thereby optimizing their workflows in administrative and support departments. Through five interactive sessions, participants will be introduced to the field and its key challenges, and will explore practical use cases, live demonstrations, and guided exercises to master the use of generative AI technologies available on the market.
The training includes the following modules :
Introduction to Generative AI
Prompt Design Techniques
Practical Applications, Case Studies, and Use Scenarios
Generative AI Mini-Project in a Professional Context
Ethics and Artificial Intelligence

Session 1: Introduction and Fundamentals of Generative AI

• Introduction to AI and Generative AI 
  Definition of AI and Generative AI
  Overview of available generative AI tools
• Understanding how language models work
  How language models work: ChatGPT, Gemini, Copilot, Claude, DALL·E, etc.
  Limitations, capabilities, and ethics of generative AI
• Introduction to prompt engineering
  Basic concepts of prompt creation
  Practical examples of simple prompts
• Practical workshop
  Guided exercises on creating simple prompts
  Feedback and prompt optimization

Session 2: Advanced Prompt Design Techniques

• Advanced techniques for effective prompts
  Strategies for complex prompts
  Managing unexpected responses
• Personalization and contextualization of prompts
  Adapting prompts for specific tasks
  Using metadata and context
• Tools and platforms for prompt engineering
  Presentation of common platforms and tools
  Comparison of features and uses
• Practical workshop
  Creation of complex prompts for specific scenarios
  Collaborative analysis and feedback

Session 3: Ethical Artificial Intelligence and Society

• Introduction to ethics in the context of Artificial Intelligence
• AI ethics according to international organizations: UNESCO, OECD, Europe
• Impact of AI on key sectors and professions
• Skills needed to live and work with AI
• Mini practical workshop on AI, ethics, and society
• Study of concrete ethical case studies
• Application to generative AI for ethical generation or regulatory compliance

Session 4: Practical Applications and Case Studies

• Applications in administrative services
  Automation of administrative tasks
  Drafting documents and reports
• Applications in HR and legal services
  Recruitment and talent management
  Legal assistance and compliance
• Applications in communication and customer service
  Content creation and communication management
  Improvement of customer support
• Practical workshop and final assessment
  Real-life simulation with practical cases
  Assessment of acquired skills and feedback

Session 5 & 6: Professional Mini-Project

• Design of a personalized mini-project
  Selection of the professional context and objectives
  Planning the project stages
• Implementation of the mini-project
  Use of the techniques and tools learned
  Production of documents using generative AI
• Presentation of projects
  Demonstration of completed projects
  Feedback and collaborative discussions
• Conclusion and outlook
  Summary of key learnings
  Discussion of future applications and potential developments

• Understand the fundamental concepts of generative AI and its applications in a professional context.
• Formulate effective prompts for various administrative and support tasks.
• Adapt prompt creation techniques to the specific needs of their department.
• Use generative AI tools and platforms to automate and improve business processes.
• Analyze and optimize prompts to obtain accurate and relevant results.
• Apply the acquired skills in real-life scenarios to increase service productivity and efficiency.
• Design and carry out a professional mini-project using generative AI for document production, integrating the techniques and knowledge acquired during the training.