Machine Learning for Engineers with Python: an advanced, practice-led programme for engineers, analysts and digital-transformation leaders, built on current international standards, real case studies and hands-on workshops.
Engineers, data scientists, digital-transformation leads and reliability teams moving AI from pilot to production.
Days 1–5 as in the 5-day programme, then:
| Date | Location | Format | Fee |
|---|---|---|---|
| 11–15 Jan 2027 | Johannesburg, South Africa | Classroom · 5 days | $5,000 |
| 5–9 Apr 2027 | Live online | Live online · 5 days | $2,500 |
| 27 Jun – 8 Jul 2027 | Cairo, Egypt | Classroom · 10 days | $9,000 |
| 20–24 Sep 2027 | Amsterdam, Netherlands | Classroom · 5 days | $5,000 |
| 14–18 Feb 2028 | Casablanca, Morocco | Classroom · 5 days | $5,000 |
| 8–12 May 2028 | Live online | Live online · 5 days | $2,500 |
| 31 Jul – 11 Aug 2028 | Houston, USA | Classroom · 10 days | $9,000 |
| 23–27 Oct 2028 | Seoul, South Korea | Classroom · 5 days | $5,000 |
| 19–23 Mar 2029 | Toronto, Canada | Classroom · 5 days | $5,000 |
| 11–15 Jun 2029 | Live online | Live online · 5 days | $2,500 |
| 3–14 Sep 2029 | Abu Dhabi, UAE | Classroom · 10 days | $9,000 |
| 25–29 Nov 2029 | Manama, Bahrain | Classroom · 5 days | $5,000 |
| 27–31 Jan 2030 | Riyadh, Saudi Arabia | Classroom · 5 days | $5,000 |
| 22–26 Apr 2030 | Live online | Live online · 5 days | $2,500 |
| 15–26 Jul 2030 | Paris, France | Classroom · 10 days | $9,000 |
| 7–11 Oct 2030 | Rome, Italy | Classroom · 5 days | $5,000 |
Generative AI for Business Productivity: an advanced, practice-led programme for engineers, analysts and digital-transformation leaders, built on current international standards, real case studies and hands-on workshops.
Prompt Engineering & LLM Application Design: an advanced, practice-led programme for engineers, analysts and digital-transformation leaders, built on current international standards, real case studies and hands-on workshops.
Retrieval-Augmented Generation (RAG) Systems: an advanced, practice-led programme for engineers, analysts and digital-transformation leaders, built on current international standards, real case studies and hands-on workshops.
Build models that respect mass and energy balances and stay reliable outside the training data.
Design AI agents that read documents, run calculations and draft deliverables under engineering controls.
Set up a certifiable AI management system aligned with the EU AI Act and regional AI regulations.