Blogs
Leveraging Generative AI through Prompt Engineering
Compliance with the profession - Methods
Price
140 € without taxes - 3 registered min
Min. participants
3 registrants min
Next session
07/10/2026 - 07/10/2026
Duration
1 day (7h)
Format
Hybride Paris x Teams
Language
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:
-
Company access must allow the use of conversational AI tools such as:
-
Creation of a free account on at least 2 or 3 of these conversational AI platforms.
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.