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Leveraging Generative AI through Prompt Engineering

Compliance with the profession - Methods

Starts: 07/10/2026
1 day (7h)
Hybride Paris x Teams
Beginner
English - French

General Information

 

Goals:

 

 At the end of this training, participants will be able to: 

 

  • Understand the fundamental principles of machine learning
  • Identify the challenges, limitations, and opportunities of generative AI in a professional context
  • Gain an in-depth understanding of how Large Language Models (LLMs) work
  • Evaluate and optimize the performance of generative AI models
  • Master techniques for integrating LLMs into workflows and systems
  • Understand the risks and constraints of using AI in decision-support contexts
  • Develop a critical and ethical approach to conversational AI
  • Master effective prompting techniques
  • Learn advanced Prompt Engineering methods
  • Practice with several AI models through hands-on exercises
  • Be able to apply the knowledge immediately after the training and share it within your organization
  • Explore the future of generative AI 

 

 

 

Profile Targeted:

 

  • Anyone

 

 

Mandatory Requirements:

 


 


 

Presentation

 

 

1. AI & LLM Fundamentals

  • Introduction and history of AI
  • Core concepts: Machine Learning and Deep Learning
  • How Large Language Models (LLMs) work and how they are evaluated 

2. Mastering Prompt Engineering

  • Getting the most out of LLMs through Prompt Engineering
  • Advanced techniques and best practices
  • Practical workshops 

3. Industrialization & Integration

  • Advanced LLM integration (RAG, agents, custom assistants)
  • Adapting models to business needs with fine-tuning
  • Industrializing AI with LLMOps
  • Hosting LLMs: from cloud to local environments 

4. Risks, Challenges, Use Cases, Tools & Perspectives

  • Bias, risks, and constraints of generative AI

  • Human, organizational, and managerial challenges

  • Tools and business use cases

  • Emerging perspectives in AI (agentic AI, LCM)

  • Quiz 

 

 

 

Teaching Methods:

 

  • PowerPoint materials combining theoretical instruction, examples, discussions, and feedback
  • Theoretical insights and illustrations based on current technological developments
  • Live demonstrations (ChatGPT, Gemini, Mistral, etc.)
  • Hands-on workshops using conversational AI tools
  • Group discussions and experience sharing
  • Knowledge validation quiz
  • Glossary

 

 

Terms of Evaluation:

 

None

Request Enrollment

Submit your request - our team will follow up to confirm your seat.

Upcoming Sessions

All sessions are delivered in EN/FR. Minimum 3 participants required for a session to run.

07/10/2026 - 07/10/2026
Hybrid Paris (FR) x Teams