Generative AI in Practice
A practical professional programme focused on generative ai in practice, designed to strengthen digital capability, technology adoption and data-informed performance.
- Type
- Professional
- Level
- Advanced
- Duration
- 5 days
- Delivery
- In person, Live online, In-house
- Languages
- English, Arabic
Generative AI in Practice develops the practical capability to use generative AI tools effectively for research, analysis, drafting, ideation, summarisation, communication and productivity.
The programme examines prompt design, context setting, output evaluation, hallucination risk, workflow integration, multimodal tools and responsible use.
Participants learn how to structure interactions with generative AI, verify outputs and build repeatable workflows that improve productivity without weakening professional judgement.
Objectives
Understand the capabilities and limitations of generative AI.
Develop effective prompt-design techniques.
Use generative AI for practical professional tasks.
Evaluate and verify AI-generated outputs.
Integrate generative AI into repeatable work processes responsibly.
Learning outcomes
Create structured prompts for defined tasks.
Use generative AI for research, drafting and analysis support.
Identify weak, unsupported or inaccurate AI output.
Apply human review and verification effectively.
Design practical AI-assisted workflows.
Who it is for
Professionals across business functions.
Managers and team leaders.
Analysts and researchers.
Marketing and communications professionals.
Professionals seeking practical generative-AI skills.
Programme modules
1. Generative AI Foundations
Generative AI concepts
Large language models
Capabilities and limitations
Common professional use cases
2. Prompt Design
Prompt structure
Context
Constraints
Iteration and refinement
3. Research and Analysis
Information synthesis
Summarisation
Comparative analysis
Question development
4. Writing and Communication
Drafting
Editing
Tone adaptation
Content structuring
5. Verification and Quality Control
Hallucination risk
Fact checking
Source validation
Human review
6. Workflow Integration
Repeatable workflows
Automation opportunities
Multimodal tools
Responsible use
Methodology
The programme combines guided practice, prompt-design exercises, workflow cases and output-evaluation tasks. Participants use generative AI for realistic professional scenarios while applying verification and human oversight.
Assessment
Assessment includes prompting and workflow exercises and a final applied assignment requiring participants to design and demonstrate a responsible generative-AI workflow for a defined professional task.
Certificate
Certificate of Completion
For your organisation
This programme can be delivered for a single organisation, team or institution, and adapted to your context, participants and objectives.
Organisational delivery is scoped and priced individually, and is not booked from this page.
Upcoming sessions
No dates are scheduled at present.
Institutional needs addressed
Related expertise
Related capabilities
Training & Professional Development
Structured professional learning that develops practical, role-relevant knowledge and capability.
Capacity Building & Institutional Development
Strengthening institutional systems, structures, people and organisational capability for sustainable performance.