Description
In this micro-credential, students will explore how Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning technologies can be applied to improve business operations, automate processes and support intelligent decision-making. Students will examine the emerging field of Agentic AI, learning how autonomous AI agents can interpret objectives, plan activities, interact with digital tools and execute multistep workflows with minimal human intervention. Through practical activities, students will identify opportunities to implement AI-powered solutions using technologies such as ChatGPT, Microsoft Copilot, Claude, Gemini and automation platforms including n8n, Make and Zapier. They will investigate how AI agents can connect business applications, analyse information, coordinate tasks and streamline organisational workflows. Students will also evaluate the feasibility, benefits, limitations and risks of AI adoption, considering data security, ethical responsibilities, human oversight and organisational readiness. By the end of this micro-credential, students will be able to identify and propose practical AI and intelligent automation opportunities that enhance productivity, operational efficiency and business performance.
