ICTQual AB Level 3 Award in AI and Prompt Engineering
The ICTQual AB Level 3 Award in AI and Prompt Engineering is designed to develop learners’ practical understanding of artificial intelligence, generative AI technologies, and advanced prompt creation techniques. This qualification introduces structured approaches to interacting with AI systems, improving digital workflows, and generating relevant outputs for different tasks. It supports individuals seeking to strengthen their AI knowledge and apply emerging technologies effectively across modern workplaces and international industries.
Through the ICTQual AB Level 3 Award in AI and Prompt Engineering, learners explore how to design, test, and refine prompts to achieve more accurate and useful AI-generated results. The course focuses on understanding large language models, applying effective prompting strategies, evaluating generated content, and using AI tools for research, communication, and productivity. Learners also develop awareness of AI limitations, information verification, data protection, and ethical considerations when applying artificial intelligence to practical situations.
This AI and Prompt Engineering qualification is suitable for learners, job seekers, business professionals, administrative staff, and individuals interested in developing stronger digital competencies. It helps learners understand how AI can support content development, problem-solving, information management, and workplace efficiency. By building practical knowledge of prompt engineering and responsible AI use, learners can improve their confidence when working with AI applications and contribute to technology-enabled tasks across a range of professional environments.
Level 3 Award in AI and Prompt Engineering
To enrol in the ICTQual AB Level 3 Award in AI and Prompt Engineering, learners should meet the following requirements:
The ICTQual AB Level 3 Award in AI and Prompt Engineering, certification consisting of 6 mandatory study units.
- Foundations of Prompt Engineering
- Prompt Structure and Instruction Design
- Prompting Techniques and Strategies
- Context, Roles and Output Formatting
- Prompt Testing and Refinement
- Professional and Responsible AI Use
Here are the learning outcomes for each study unit:
Foundations of Prompt Engineering
- Explain the fundamental principles of prompt engineering and its role in effective communication with artificial intelligence systems.
- Identify the key components of prompts used with generative AI tools and large language models.
- Analyse how prompt clarity and specificity influence the relevance and quality of AI-generated responses.
- Recognise common prompting challenges and identify suitable approaches to improve AI interactions.
Prompt Structure and Instruction Design
- Design structured prompts with clear instructions, relevant context, and defined objectives.
- Apply instruction-design principles to communicate tasks effectively to AI systems.
- Develop prompts that specify expected response formats, scope, and output requirements.
- Evaluate how different prompt structures influence the consistency and usefulness of AI-generated content.
Prompting Techniques and Strategies
- Apply suitable prompting techniques to address different tasks and objectives.
- Use examples, constraints, and step-by-step instructions to guide AI-generated responses.
- Select appropriate prompting strategies for content creation, research, summarisation, and problem-solving.
- Compare alternative prompts to identify approaches that produce more relevant and useful results.
Context, Roles and Output Formatting
- Incorporate relevant background information and context to improve AI response quality.
- Use role-based instructions to guide AI systems towards specific perspectives or task requirements.
- Specify suitable output formats, including paragraphs, bullet points, tables, and structured summaries.
- Assess how context, assigned roles, and formatting instructions affect the clarity and relevance of generated outputs.
Prompt Testing and Refinement
- Test prompts systematically to assess the relevance, accuracy, and consistency of AI-generated responses.
- Identify weaknesses in prompts by reviewing unclear instructions, missing context, and unsuitable outputs.
- Refine prompts using feedback, alternative wording, and improved task specifications.
- Compare initial and revised outputs to determine whether prompt improvements achieve the intended objectives.
Professional and Responsible AI Use
- Apply professional standards when using AI tools for workplace and business-related tasks.
- Identify ethical concerns involving misinformation, bias, privacy, and inappropriate AI use.
- Evaluate AI-generated content and verify important information using reliable sources.
- Apply responsible AI practices, including confidentiality, human oversight, and appropriate review of generated outputs.
The ICTQual AB Level 3 Award in AI and Prompt Engineering helps learners develop practical skills in prompt design, AI-assisted problem-solving, and responsible artificial intelligence use. These competencies can support professional development and technology-enabled opportunities across different industries.
- Develop advanced prompt-writing techniques to improve the relevance and quality of AI-generated responses.
- Support digital content creation by using AI tools for writing, summarisation, and content planning.
- Assist with business research through structured prompting, information analysis, and content evaluation.
- Improve administrative productivity by applying AI tools to routine workplace tasks and documentation.
- Support digital marketing activities through AI-assisted brainstorming, content development, and campaign planning.
- Apply prompt testing and refinement techniques to achieve more consistent AI-generated results.
- Strengthen professional AI practices by verifying information, protecting confidential data, and recognising potential bias.
- Build competencies relevant to AI-assisted roles in administration, business operations, customer support, digital communication, and content development.
