Sextant / Future Skills / FUT-017
Future Skills
Generative AI for Professionals: Case Studies and Best Practices
Overview
This intermediate-level programme on Generative AI for Professionals gives participants working command of the methods, standards and tools used by leading organisations. It combines expert-led sessions, hands-on exercises, case studies from the Middle East, Europe and Africa, and a personal action plan to apply on return to work.
Designed for leaders, engineers and specialists preparing for 2030 and beyond.
Learning objectives
- Master the principles, terminology and code requirements of Generative AI for Professionals
- Apply proven methods and tools to real field situations
- Analyse risk, cost and performance to make better decisions
- Learn from international case studies and industry best practice
- Build a practical improvement plan for your organisation
Course outline
Day 1Principles, terminology and the standards framework
Day 2Core methods, calculations and tools
Day 3Practical applications and group workshops
Day 4International case studies and lessons learned
Day 5Implementation roadmap, assessment and close
Day 6Advanced requirements and changes in the standards
Day 7Optimisation, KPIs and performance analysis
Day 8Risk management and decision making
Day 9Digital transformation and applied AI tools
Day 10Capstone project, presentation and final assessment
Upcoming sessions
- Abu Dhabi1 Feb – 5 Feb 2027
- Kuwait City19 Apr – 23 Apr 2027
- Paris21 Jun – 25 Jun 2027
- Lisbon30 Aug – 3 Sept 2027
Available in all our Middle East and Europe cities, live online for Africa and worldwide, or at your premises.
Related programmes
FUT-011Generative AI for Professionals: FoundationFUT-012Generative AI for Professionals: PractitionerFUT-013Advanced Generative AI for ProfessionalsFUT-014Generative AI for Professionals: Expert MasterclassFUT-015Generative AI for Professionals for Managers and LeadersFUT-016Generative AI for Professionals: Implementation LabFUT-018Generative AI for Professionals: Train-the-Trainer