Unlock the full power of AI through expert prompt engineering.
Course Overview
AI Prompt Building teaches professionals to communicate with AI tools with precision, creativity, and purpose. As AI becomes embedded in modern workplaces across UAE and KSA, the ability to write effective prompts is becoming a core professional competency.
From fundamental prompt structures to advanced techniques like chain-of-thought prompting and few-shot learning, participants gain practical mastery across text, image, and data applications.
Key Course Outcomes
✓Understand how large language models interpret and respond to different prompt structures.
✓Apply structured prompt frameworks to consistently produce high-quality AI outputs.
✓Use advanced techniques including role prompting, chain-of-thought, and few-shot examples.
✓Build prompts for diverse professional tasks: writing, analysis, research, and creativity.
✓Create a personal prompt library that delivers ongoing productivity and quality gains.
Programme Structure
A structured, practical curriculum built for the MENA business environment. Select each day to explore the modules in detail.
Day 1: Prompt Foundations
1
How AI Models Think
Introduction to large language models and how they process prompts
Why prompt quality determines output quality
The anatomy of a well-structured, high-performance prompt
2
Core Prompt Frameworks
The CRISPE, RTF, and RISEN frameworks in practice
Role, context, task, format, tone — the five dimensions of great prompts
Practice: transforming vague prompts into precise, professional ones
3
Prompt Patterns and Templates
Instructional, conversational, and structured prompt patterns
Building reusable prompt templates for common business tasks
Creating a department-specific prompt template library
Day 2: Advanced Techniques
1
Chain-of-Thought and Step-by-Step Prompting
Getting AI to reason through complex multi-step problems
Breaking tasks into structured AI workflows
Hands-on: solving real MENA business problems step by step
2
Few-Shot and Zero-Shot Prompting
Teaching AI by example: few-shot technique in depth
When to use examples vs clear instructions
Building prompts that produce consistent, scalable outputs
3
Prompting for Different Content Types
Writing, summarising, analysis, and data interpretation prompts
Prompting for code, formulas, and structured outputs
Image generation prompts: principles, practice, and limitations
Day 3: Workplace Application and Optimisation
1
Refining and Iterating Prompts
Diagnosing why a prompt is not producing the desired output
Iterative refinement: the red-teaming approach to prompt improvement
Temperature, specificity, and constraint calibration in practice
2
Building Business-Specific Prompt Systems
Designing prompt workflows for your department or function
Integrating AI prompts into existing MENA business processes
Ethics and quality control in AI-assisted professional work
3
Personal Prompt Library and Action Plan
Building your top 20 professional prompt toolkit
Peer sharing and prompt challenge competition
Roadmap for embedding prompt skills across your wider team
What Participants Say
★★★★★
"Corporate Training Hub delivered a game-changing consultative selling programme for our sales team. The results were immediate — pipeline quality improved dramatically within weeks of the training."
Khalid Al Marzouqi
Sales Director, Major UAE Bank
★★★★★
"Outstanding delivery and deep regional understanding. Our management team left with practical tools they actually use. The facilitators' knowledge of the MENA environment set this apart from anything we have seen."
Sarah Thompson
HR Director, Global Manufacturing Co.
★★★★★
"The AI for Business programme opened our eyes to possibilities we hadn't considered. Excellent facilitation that made complex concepts accessible to every level of our leadership team."
Mohammed Al Rasheed
COO, Regional Real Estate Developer
Interested in This Programme?
Speak to our team about scheduling, group pricing, and delivery in UAE or KSA. All prices are per group of up to 12 delegates, excluding VAT.
