In a move that reflects the Saudi private sector's commitment to adopting AI as an enterprise capability — not just an individual tool — Samsung Saudi Arabia selected LEAP (LEAP RD&O) to design and deliver a comprehensive training programme in Generative AI and prompt engineering for more than 250 employees across departments and management levels.
Why Samsung chose LEAP
Samsung was not looking for a generic introductory workshop. The challenge ran deeper: multiple teams using AI tools individually and without a unified methodology — with no understanding of hallucination risks or quality-control mechanisms.
Samsung needed a partner who understood the Saudi business environment and could turn theoretical knowledge into practical skills applicable to daily workflows. LEAP delivered exactly that, through a programme tailored to Samsung's needs.
The training programme: three integrated stages
Foundations
Core concepts of Generative AI, transformer architecture, principles of natural-language processing, and the fundamentals of prompt design.
Techniques and tools
Advanced prompt-engineering techniques, model interaction patterns, evaluation and review techniques, and core AI tools.
Scaling and application
Applying skills to real Samsung use cases and building sustainable enterprise usage policies.
Outcomes
Closed the prompt-engineering gap — teams moved from ad-hoc usage to a structured, consistent methodology.
Awareness of hallucination risk — strengthened understanding of quality control and how to verify model outputs.
Comprehensive enablement — training spanned all departments, not just technical teams, ensuring broad enterprise adoption.
Practice elevated — AI shifted from a transient tool to a disciplined, sustainable enterprise capability.
The training team
The programme was led by senior specialists combining academic leadership and applied AI experience:
Prof. Saeed Awad Al-Qahtani
Generative AI engineer | PhysicianOver 20 years of experience in strategic leadership and applied AI. Designed more than 40 specialised large-language models on A100 GPU architecture, with end-to-end experience across the model lifecycle from data preparation to deployment.
Dr. Muath Abdullah Mujaddidi
Generative AI engineer | MBChB, PhDA strategist specialised in building enterprise AI capability, working with organisations to convert AI into practical decision-making tools and effective operational systems.
For decision makers: what sets this programme apart is that it does not stop at theory. Every training stage is built on real use cases from the client's environment, ensuring training ROI shows up directly in daily productivity.
Is your team using AI in an ad-hoc way?
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The same programme that enabled 250 Samsung employees — designed to adapt to your organisation's size, sector and challenges.