ICTQual AB Level 3 Diploma in AI and Prompt Engineering
The ICTQual AB Level 3 Diploma in AI and Prompt Engineering is designed to develop learners’ knowledge of artificial intelligence, generative AI technologies, and the principles of effective communication with AI systems. This qualification explores how AI models interpret instructions, generate information, and support digital tasks across business, administration, education, and technology-related sectors. It helps learners understand the growing importance of artificial intelligence in modern workplaces and the value of structured prompting in achieving relevant results.
The qualification covers essential areas of AI and prompt engineering, including prompt structure, instruction design, context management, task decomposition, and output evaluation. Learners develop an understanding of how different prompting methods influence AI-generated responses and how instructions can be refined to improve clarity, relevance, and consistency. The course also introduces multimodal AI concepts, information management, and methods for identifying inaccuracies, helping learners understand the capabilities and limitations of contemporary AI systems.
The ICTQual AB Level 3 Diploma in AI and Prompt Engineering is suitable for individuals interested in artificial intelligence, digital technologies, business innovation, and emerging AI applications. It supports the development of analytical thinking, digital awareness, and responsible technology use. By understanding AI-assisted content generation, information processing, and prompt optimisation, learners can strengthen their knowledge of modern digital workflows while recognising the importance of data privacy, factual accuracy, ethical considerations, and appropriate human oversight.
Level 3 Diploma in AI and Prompt Engineering
To enrol in the ICTQual AB Level 3 Diploma in AI and Prompt Engineering, learners should meet the following requirements:
The ICTQual AB Level 3 Diploma in AI and Prompt Engineering, qualification consisting of 6 mandatory study units.
- Advanced Generative AI and Large Language Models
- Advanced Prompt Engineering Techniques
- Context Engineering and Knowledge-Grounded Prompting
- Prompt Workflows and Structured Outputs
- Prompt Testing, Evaluation and Optimisation
- Applied AI and Prompt Engineering Project
Here are the learning outcomes for each study unit:
Advanced Generative AI and Large Language Models
- Explain the advanced concepts, capabilities, and limitations of generative AI and large language models (LLMs).
- Analyse how large language models interpret complex instructions and generate contextually relevant responses.
- Evaluate the applications of generative AI across business, communication, information processing, and digital content development.
- Identify factors affecting the accuracy, consistency, and reliability of AI-generated information.
Advanced Prompt Engineering Techniques
- Apply advanced prompting techniques to address complex tasks and achieve clearly defined objectives.
- Design structured prompts using examples, constraints, contextual instructions, and specific output requirements.
- Use task decomposition and sequential prompting to manage multi-stage requests effectively.
- Compare different prompting strategies to determine their suitability for specific AI applications.
Context Engineering and Knowledge-Grounded Prompting
- Explain how context engineering improves the relevance and reliability of AI-generated responses.
- Organise background information, supporting documents, and reference materials to guide AI outputs.
- Apply knowledge-grounded prompting to encourage responses based on supplied information and relevant sources.
- Evaluate contextual information for completeness, relevance, consistency, and suitability for the intended task.
Prompt Workflows and Structured Outputs
- Design structured prompt workflows for tasks involving multiple instructions and processing stages.
- Apply sequential prompting methods to improve consistency across related AI-generated outputs.
- Specify structured output formats, including tables, summaries, lists, and other organised information formats.
- Assess how workflow design and output requirements influence the usability of AI-generated results.
Prompt Testing, Evaluation and Optimisation
- Establish suitable criteria for evaluating prompt effectiveness, output relevance, accuracy, and consistency.
- Test alternative prompts to identify weaknesses and opportunities for improvement.
- Apply systematic refinement methods to optimise instructions and improve generated responses.
- Document evaluation findings and use feedback to support continuous prompt improvement.
Applied AI and Prompt Engineering Project
- Define an AI-related task, establish objectives, and identify appropriate prompt engineering methods.
- Develop a structured prompt-based approach to address the selected task or information requirement.
- Evaluate generated outputs against defined criteria, including relevance, accuracy, and suitability.
- Present findings and recommendations while considering responsible AI use, data privacy, and output limitations.
The ICTQual AB Level 3 Diploma in AI and Prompt Engineering helps learners strengthen their knowledge of advanced prompting, generative AI, and structured AI workflows. These competencies can support professional development and opportunities across technology-driven industries.
- Develop advanced prompt engineering skills to manage complex instructions and improve AI-generated responses.
- Support AI-assisted content development, including writing, summarisation, and information organisation.
- Apply generative AI tools to business communication, research, and routine administrative processes.
- Explore AI-assisted digital marketing, including content planning, idea generation, and campaign development.
- Strengthen knowledge of context engineering and knowledge-grounded prompting for information-based tasks.
- Apply prompt testing, evaluation, and optimisation techniques to improve output quality and consistency.
- Build awareness of responsible AI practices, information accuracy, data privacy, and ethical technology use.
- Develop competencies relevant to AI-assisted roles in business operations, digital content, administration, marketing, and information management.
