Moodle Microcredentials

This course explores key concepts and applications of AI agents, equipping participants with the skills to design, deploy, and manage autonomous systems that perform tasks, make decisions, and interact effectively in professional environments.

This course introduces core principles for building a search application, focusing on optimising information retrieval, enhancing accuracy and relevance, and ensuring efficient, secure, and user-friendly search experiences.

This course equips participants with practical skills in building chat applications, enabling effective, accurate, and engaging AI-driven conversations for enhanced user interaction and support.

This course develops the essential skills needed to build image generation applications, covering AI model integration, prompt design, output optimisation, and ethical considerations in creative and professional environments.

This course equips participants with essential skills in building low-code AI applications, focusing on streamlined development, integration of AI capabilities, and efficient deployment to support operational and strategic goals.

This course provides a foundational overview of building text generation applications, highlighting key concepts, tools, and real-world use cases that leverage AI to enhance efficiency, accuracy, and innovation across various domains.

This course equips participants with the skills to build applications using the Meta family of models, focusing on integration, optimisation, and practical deployment to deliver effective and innovative AI solutions.

This course focuses on building applications with Mistral models, enabling participants to harness their capabilities, optimise performance, and apply them effectively across diverse and innovative AI-driven projects.

This course explores the principles of data governance and ethical AI use in health and laboratory environments, focusing on privacy, compliance, accountability, and responsible data-driven decision-making.

This course covers fundamental principles of designing user experiences (UX) for AI applications, focusing on usability, accessibility, intuitive interaction, and ethical considerations to ensure effective and user-centred AI solutions.