Acquire the skills necessary to design,
deploy and operate generic AI solutions!
Eligible CPF and multi-financing up to 100%
To be recalled Access to the programmeApproach 3P
Our training centre guides you in identifying the ideal training, helping you maximize funding opportunities.
We put all the keys in hand for a start with confidence.
Experience an immersive and intensive training experience, designed to dive into practical workshops and real case studies.
Learn by doing, and develop concrete skills directly applicable to your future projects.
At the end of your career, we evaluate your acquired skills, issue certification attesting to your expertise, and accompany you to ensure your success in your professional projects.
You are now ready to excel!
Description of the training
This training provides the skills necessary to design, deploy and operate a generic AI-based solution.
Who is this training for?
The training is aimed at a wide audience, including:
Project leaders and technical managers seeking to integrate generic AI solutions into their business processes.
Data scientists and engineers IA want to deepen their expertise on generative solutions.
R&D managers interested in the application of AI in their innovative projects.
Consultants and trainers wishing to support companies in their digital transformation through the AI.
Entrepreneurs wishing to take advantage of the capabilities of the Generative AI to optimize their processes.
Prerequisites
Basic knowledge of the information system.
Objectives of training
At the end of this training, participants will be able to:
Understanding the Foundations of Generative AI: Understanding the Principles and Technologies underlying Generative AI.
Design a generic AI solution tailored to specific business needs.
Implement IA models using appropriate tools and platforms.
Integrate AI into existing business processes.
Ensure governance and ethics of general AI solutions.
Programme
The training programme is structured around several main modules:
Introduction to the General AI and Design of Solutions
- Generative AI cores (neural networks, GANs, VAEs, etc.).
- Design of a generic AI solution adapted to business needs.
- Data preparation and IA model training.
- Deployment of AI solutions in the company (cloud environments, performance management, etc.).
- Governance and ethics of general AI (biash, transparency, regulation).
- Long-term deployment strategy and maintenance of AI solutions.
Training assets
Alternative between theory and practice for better assimilation of concepts.
Specialist trainers with practical experience in the field of AI.
Access to online resources, live demonstrations and real-life case studies.
Training open to all, without advanced technical prerequisites.
Pedagogical methods and tools used
Live demonstrations.
Real case studies with analysis of concrete solutions.
Group work and real-time sharing.
Feedback: Sharing best practices and common mistakes.
Evaluation
The evaluation is carried out in a number of ways:
QCM to test the understanding of the concepts discussed.
Practical case studies to apply knowledge.
Ongoing evaluation during practical sessions.
Normative References
ISO 25010 (Quality of systems and software): Used to assess the quality of AI systems, in particular in terms of reliability, maintenance and efficiency of models.
ISO 27001 (Information security): Guarantees the security and confidentiality of data used in AI-based systems.
Ethical Guidelines for Trustworthy AI (European Commission)Provides a framework for the responsible development and use of artificial intelligence.