This module introduces learners to Generative Artificial Intelligence, highlighting how AI systems can create content, respond to queries, and assist in problem-solving. It explains how Machine Learning enables systems to identify patterns, adapt, and improve from data over time. Learners explore Large Language Models, which form the backbone of text-based AI tools, and learn how these models process information to generate coherent and contextually relevant responses. The module also covers prompting techniques, providing strategies to interact effectively with AI systems. A key feature is the CRAFT Formula, a structured approach to designing prompts that maximise clarity and output quality. By the end of the module, learners will have both the conceptual understanding and practical skills to engage with generative AI tools responsibly, enhancing learning, productivity, and creativity.

This module focuses on the practical application of Artificial Intelligence through real-world examples. Learners explore how AI tools can be leveraged to solve challenges across multiple contexts, from academic tasks to professional problem-solving. The CRAFT Formula is applied systematically, showing how structured prompting enhances clarity, relevance, and accuracy in AI outputs. By working through diverse user scenarios, learners gain hands-on experience in translating theoretical knowledge into actionable solutions, reinforcing both practical skills and strategic thinking in the use of AI.

This module guides learners in viewing Artificial Intelligence as an ally, capable of augmenting human abilities and adapting to changing times. It presents practical examples of AI applications in areas such as education, business, and everyday life, illustrating how AI supports analysis, prediction, creativity, and efficiency. Learners examine multiple use cases, from recommendation systems and virtual assistants to automation and data-driven insights, understanding the benefits and limitations of each. The module emphasises the importance of responsible and informed use, encouraging learners to integrate AI thoughtfully into their work and daily routines. By the end, learners gain the awareness and skills to harness AI as a constructive and ethical partner in achieving personal and professional goals.

This module focuses on ethical considerations in Artificial Intelligence, introducing the FAST Framework as a guide to responsible AI use. Learners explore common ethical concerns, including bias, privacy, transparency, and accountability, and examine their implications for individuals, organisations, and society. The module also highlights the government’s response to these challenges, covering policy measures, regulations, and initiatives aimed at promoting safe and fair AI deployment. Through examples and practical guidance, learners are encouraged to integrate ethical thinking into AI interactions and decision-making. The module concludes with key takeaways, reinforcing the importance of ethical awareness, informed use, and critical evaluation in leveraging AI responsibly for personal, academic, and professional growth.

This module presents current trends in Artificial Intelligence that are actively transforming work, learning, and daily life. It explains how natural language is becoming the new coding medium, enabling anyone to create websites, apps, or reports without learning traditional programming languages. AI is also becoming the new user interface, with conversational systems replacing multiple apps and screens, making interactions more intuitive. The module differentiates AI tools from AI agents, showing how agents can autonomously perform tasks like booking tickets, managing schedules, or summarising meetings. Learners explore the idea of AI as future workplace colleagues and the evolving personal technology landscape, where screens, apps, and operating systems may be replaced by AI-driven systems. Trends like conversational search and AI-influenced customer expectations demonstrate the need for AI literacy as a core skill. The module concludes with a reminder that the AI revolution is already underway and that humans who combine creativity, empathy, and judgment with AI capabilities will shape the future. Practical applications, ethical considerations, and collaboration strategies reinforce learners’ ability to engage meaningfully with AI in personal and professional contexts.