This training provides an understanding of the various challenges related to artificial intelligence: the new opportunities emerging thanks to AI, the practices, but also the technical and organizational challenges for the company. This training is primarily aimed at managers or project managers to enable them to accelerate or initiate data-driven transformation within their department/company.
Managers, project managers.
Prerequisites:
No prerequisites.
Enable managers and project managers to become active players and catalysts for data-driven transformation within their organization.
Raise awareness of the various aspects (business, technical, organizational, etc.) to consider for successful transformation.
Introduction to Artificial Intelligence
- What is artificial intelligence?
- Why machine learning?
- Evolution of artificial intelligence.
General AI Concepts
- Expert systems.
- Machine learning.
- Deep learning.
- Data typologies.
AI Opportunities for Business
- How does AI create value?
- Artificial intelligence and innovation.
- Automation vs. augmentation.
- AI use cases in business.
AI Challenges and Best Practices
- Technical challenges (AI deployment, tool selection, etc.).
- Organizational challenges (data scientist’s role in the organization, relationship with business units, organizational structure).
- Data and infrastructure challenges.
- Ethical challenges.
Scoping and Managing a Machine Learning Project
- Technical scoping.
- Budget scoping.
- Resource selection.
- ML project monitoring.
- Practical case study.
The training includes a theoretical course (adapted to the participants’ background) and hands-on practice using Python for each technique covered.
Business use cases.
Certificate of attendance provided.
Address: Color Business Center, 19 rue de l’industrie L-6089 Bertrange
For in-house training, please contact us.
