Prompt Engineering
About This Course
This course equips learners with the practical skills to design and refine prompts that improve the quality, clarity, and relevance of AI-generated outputs. From foundational prompting types to advanced multi-step strategies, learners gain hands-on experience crafting prompts tailored to various tasks, tones, and tools.
Emphasising structure, iteration, and model adaptability, this course is ideal for professionals who want to boost productivity and reduce hallucinations or irrelevant responses in AI interactions. Learners explore prompt engineering tools, test prompts across models like ChatGPT and Claude, and apply decision-making frameworks to real-world prompting scenarios.
By the end of the course, learners will be able to design, evaluate, and iteratively refine structured prompts that produce consistent, accurate, and task-aligned outputs across professional contexts.
What You'll Learn
- Explore prompting types such as zero-shot, few-shot, conditional, and Chain-of-Thought
- Learn structured techniques to craft, revise, and optimise prompts
- Use AI prompt tuning tools for efficiency and output evaluation
- Design prompts for different use cases, models, and stakeholder needs
- Apply real-world frameworks to evaluate, troubleshoot, and improve AI outputs
Entry Requirements
● Minimum age: 18
● Years of working experience: 1
● Possess basic ICT knowledge such as browsing the web, opening of folders and documents, and basic navigation of software interface
● Motivated learners
● Able to interact with fellow peers
● Proficient in spoken English with at least a secondary education qualification or equivalent
● This course is targeted to PMEs (Professionals, Managers, and Executives)