ICTQual AB Level 6 Diploma in AI and Prompt Engineering
The ICTQual AB Level 6 Diploma in AI and Prompt Engineering is designed to develop an advanced understanding of artificial intelligence, intelligent systems, and strategic prompt engineering methodologies. The qualification explores how AI technologies can support complex information processing, organisational decision-making, and digital innovation. It introduces learners to the evolving capabilities of generative AI and the importance of designing effective instructions to achieve relevant, consistent, and purposeful AI-generated results across different professional environments.
The qualification examines sophisticated prompt architectures, AI workflow development, contextual information management, and techniques for evaluating AI-generated outputs. Learners explore how structured instructions, knowledge integration, and systematic refinement influence AI performance. The course also addresses intelligent automation, AI model limitations, security considerations, and methods for assessing the reliability of generated information. These concepts provide a framework for understanding how AI systems can be evaluated and applied to complex organisational requirements.
The ICTQual AB Level 6 Diploma in AI and Prompt Engineering is suitable for individuals interested in advanced AI applications, digital transformation, and technology-driven business processes. It develops knowledge of AI-assisted decision-making, intelligent workflow coordination, and responsible technology implementation. The qualification also emphasises ethical AI practices, information security, data confidentiality, and human oversight. By exploring these areas, learners can strengthen their understanding of emerging AI technologies and their potential contribution to innovation, organisational efficiency, and modern digital environments.
Level 6 Diploma in AI and Prompt Engineering
To enrol in the ICTQual AB Level 6 Diploma in AI and Prompt Engineering, learners should meet the following requirements:
The ICTQual AB Level 6 Diploma in AI and Prompt Engineering, qualification consisting of 6 mandatory study units.
- AI Architecture, Foundation Models and Generative AI Systems
- Advanced Context Engineering and Prompt System Design
- AI Agents, Automation and Orchestrated Workflows
- AI Evaluation, Performance Optimisation and Reliabilit
- AI Security, Governance and Risk Management
- AI Solution Architecture and Implementation Project
Here are the learning outcomes for each study unit:
AI Architecture, Foundation Models and Generative AI Systems
- Explain the architecture, operating principles, and capabilities of foundation models and generative AI systems.
- Analyse how AI models process information, interpret instructions, and generate contextually relevant outputs.
- Evaluate the suitability of different AI architectures for organisational and technology-driven requirements.
- Assess the limitations, scalability, and performance considerations of generative AI systems.
Advanced Context Engineering and Prompt System Design
- Design advanced prompt systems that integrate instructions, contextual information, constraints, and defined objectives.
- Apply context engineering methods to organise information and improve the relevance of AI-generated responses.
- Develop reusable prompt structures for complex tasks and specialised organisational requirements.
- Evaluate prompt system effectiveness in terms of consistency, clarity, and alignment with intended outcomes.
AI Agents, Automation and Orchestrated Workflows
- Explain the principles of AI agents, intelligent automation, and coordinated AI workflows.
- Design agent-based workflows that organise tasks, manage information, and support defined operational objectives.
- Evaluate orchestration methods for coordinating multiple AI components within structured processes.
- Identify risks involving automation errors, workflow dependencies, and the need for human supervision.
AI Evaluation, Performance Optimisation and Reliability
- Establish evaluation frameworks for assessing AI accuracy, reliability, consistency, and operational performance.
- Analyse AI-generated outputs using defined quality indicators and task-specific evaluation criteria.
- Apply optimisation methods to improve response quality, processing efficiency, and workflow performance.
- Recommend monitoring and validation approaches to identify performance weaknesses and maintain reliable AI outputs.
AI Security, Governance and Risk Management
- Identify security vulnerabilities associated with AI systems, including prompt injection and unauthorised information disclosure.
- Apply AI governance principles to support accountability, transparency, and responsible system use.
- Assess risks involving data privacy, biased outputs, information security, and inappropriate AI-generated responses.
- Develop risk management recommendations covering safeguards, monitoring, human oversight, and compliance considerations.
AI Solution Architecture and Implementation Project
- Define project requirements and design an AI solution architecture aligned with specified organisational objectives.
- Select suitable AI models, prompt systems, and workflow components to address identified requirements.
- Evaluate the proposed solution against performance, reliability, security, and governance criteria.
- Present implementation findings and recommendations, including limitations, risk controls, and opportunities for optimisation.
The ICTQual AB Level 6 Diploma in AI and Prompt Engineering helps learners understand the design, control, and evaluation of intelligent technologies. This knowledge can support professional development in organisations adopting AI-driven systems and digital innovation.
- Explore AI systems analysis to understand how intelligent models support organisational objectives.
- Develop knowledge of AI agent coordination for managing interconnected tasks and automated processes.
- Apply advanced instruction design principles to improve AI responses in specialised business environments.
- Support AI performance monitoring by identifying inconsistencies, output errors, and system limitations.
- Understand AI governance frameworks for promoting transparency, accountability, and responsible technology use.
- Contribute to AI risk assessment by recognising vulnerabilities and identifying suitable control measures.
- Strengthen knowledge of AI system integration to support organisational technology planning and digital innovation.
- Consider professional opportunities in AI systems analysis, intelligent automation, AI governance, technical coordination, and AI solution planning, subject to relevant expertise and employer requirements.