Generative AI & Large Language Models: Practical Workshop
Course Introduction
Generative AI & Large Language Models sits at the heart of data, analytics and automation initiatives, yet it is rarely taught in a way that translates straight into daily practice. This workshop-based programme closes that gap with practitioner-led sessions, realistic scenarios and take-home tools.
Training Objectives
- 01Explain the core principles, terminology and standards behind Generative AI & Large Language Models in clear, practical language
- 02Select and adapt suitable approaches to Generative AI & Large Language Models for the constraints of data, analytics and automation initiatives
- 03Diagnose weak spots in current practice and prioritise corrective action
- 04Use practical tools, checklists and templates that support day-to-day Generative AI & Large Language Models
- 05Leave with a prioritised list of improvements you can start within 30 days
What You Will Take Away
- Hands-on lab exercises with guided walkthroughs
- A practical architecture or workflow blueprint
- A risk and controls checklist for your environment
Who Should Attend
Prerequisites: Open to all levels; participants are encouraged to bring a real work challenge.
Training Methodology
Learning happens by doing — teams work through practical tasks, present their results and receive immediate feedback. Case material and examples are drawn from data, analytics and automation initiatives.
Day-by-Day Programme (5 Days)
- Day 1Foundations and context
Key terms, roles and the regulatory background behind Generative AI & Large Language Models, with examples from data, analytics and automation initiatives.
- Day 2Methods and standards in depth
A detailed look at frameworks, codes and decision methods used in Generative AI & Large Language Models.
- Day 3Practical workshop day
Group exercises and simulations that put Generative AI & Large Language Models techniques to work.
- Day 4Case-study day
Real-world cases, failure analysis and improvement options related to Generative AI & Large Language Models.
- Day 5Action plan and assessment
Review, individual action plans and a short assessment to confirm readiness to apply Generative AI & Large Language Models.
Upcoming Sessions
| City | Dates | Format |
|---|---|---|
| Jeddah | December 21, 2026 – December 25, 2026 | Classroom |
| Jeddah | January 18, 2027 – January 22, 2027 | Classroom |
| Istanbul | April 5, 2027 – April 9, 2027 | Classroom |
| Paris | May 3, 2027 – May 7, 2027 | Classroom |
| Cairo | October 4, 2027 – October 8, 2027 | Classroom |
| Istanbul | January 3, 2028 – January 7, 2028 | Classroom |
| Riyadh | May 1, 2028 – May 5, 2028 | Classroom |
| London | June 19, 2028 – June 23, 2028 | Classroom |