Who should attend?
This Generative AI training course for R&D and innovation teams is aimed at organizations wishing to make concrete use of Artificial Intelligence to boost the efficiency of their technical teams, accelerate innovative projects and structure high value-added uses, with full responsibility.
R&D, innovation and engineering teams
Innovative project managers
Technical teams, data, digital transformation
Marketing, quality or regulatory functions involved in innovative projects
Consultants and experts working on technological innovation issues
The objectives of the training
At the end of this IA training course, participants will be able to :
01
Understand the fundamentals of Generative Artificial Intelligence and how language models (LLMs) work.
02
Use the main AI Generative tools effectively in R&D, innovation and technical projects.
03
Structure and optimize prompts adapted to complex issues requiring precision and contextualization.
04
Understand the challenges and tools involved in developing Intelligent Agents and their place in R&D and innovation.
05
Identify and prioritize high value-added AI use cases for R&D, innovation, intelligence and technical content production.
06
Adopt responsible use of AI, integrating issues of confidentiality, intellectual property and reliability of results.
Program
A day for action
The training program is based on a progressive pedagogical approach combining structuring inputs, demonstrations and practical workshops:
- Introduction to current issues in Generative AI for R&D and innovation teams.
- Understand how AI and other technologies work Large Language Models (LLM).
- Overview of the main generative AI tools (ChatGPT, Gemini, Mistral, DeepSeek, Perplexity...) and targeted demonstrations.
- Fundamentals of Prompt Engineering applied to technical and innovation issues.
- Practical workshops on R&D and innovation use cases :
- Technological and competitive intelligence,
- Structuring knowledge and state of the art,
- Help with technical and documentary writing,
- Generating and exploring innovative ideas.
- Introduction to IA assistants and agents to support teams over the long term.
- Collective discussion, prioritization of use case and development of a action plan to integrate AI into professional practices.
The objectives of the training
At the end of this IA training course, participants will be able to :
- Understanding the fundamentals of Generative Artificial Intelligence and the operation of language models (LLM).
- Use the main generative AI tools effectively in a context of R&D, innovation and technical projects.
- Structuring and optimizing prompts adapted to complex issues requiring precision and contextualization.
- Understand the challenges and tools involved in developing Intelligent Agents and their place in R&D and innovation
- Identify and prioritize IA use cases with high added value for R&D, innovation, monitoring and technical content production.
- Using AI responsibly, This is a key factor in the company's success, integrating issues of confidentiality, intellectual property and reliability of results.
Jean Curtet
R&D Manager, Mapa Spontex
«The G.A.C. team delivered a highly satisfactory customized training course for our R&D department on the subject of artificial intelligence and its potential for our business.
From the origin of the technology, the presentation of the tools and offers, to the practical application with the writing of prompts, without glossing over the limitations. Relevant, clear and accessible to the uninitiated.»
Frequently asked questions
How do I register for this course?
You can request a quote or reserve dates by filling in the registration form on this page. You will then be contacted by our experts within 48 hours to confirm your registration and validate the details.
Is the training adapted to our organization's needs?
Yes, our training courses are fully customized to your business challenges, your level of AI maturity and the specific use cases of your teams (R&D, innovation, technical). An upstream discussion enables us to identify your objectives and constraints (tools, data, security), and to design workshops that are directly applicable to your context.
When will I receive my invitation and access details for the training course?
You will receive your invitation by email 7 days before the start of the course, with all the practical information you need: times, methods (face-to-face or distance learning), location or connection link, and any prerequisites.
Is any preparatory information required before the training begins?
A short questionnaire will be sent to you to assess your needs and adapt the discussions and case studies to your context.
What are the modalities (online, in-person, hybrid)?
Training is offered on an in-company basis, either face-to-face or remotely, depending on your preferences and organizational constraints. Teaching methods are adapted to ensure a high level of interaction, including at a distance (demonstrations, workshops, exchanges).
What type of document will I receive to certify my participation (certificate, attestation)?
At the end of the course, you will receive a training certificate and a signed attendance sheet.
What is the experience and profile of the trainers?
The course is led by experts in innovation and applied Artificial Intelligence, with solid field experience in R&D, innovation and technical teams.
They combine a mastery of generative AI tools, an understanding of business issues and a practical approach to teaching.
Can I take this course if I have a disability?
Yes, absolutely. We are committed to guaranteeing the accessibility of our training courses. When you register, please inform us of your specific situation and requirements (accessibility of premises, adapted materials, etc.).
Where can I find the Qualiopi certificate?
Our organization is Qualiopi certified for the quality of its training processes. Our certificate is available for download on request from our administrative department.
Talk to an expert for a concrete analysis of your situation
Our experts adapt to the challenges of your organization to design a tailor-made AI training course, directly operational for your R&D and innovation teams.
