Generative artificial intelligence (GenAI) is transforming educational practices by offering novel tools for English language teaching and learning (Kohnke et al., 2023). As digital role models, teachers must equip students with the skills to engage with AI (Moorhouse & Kohnke, 2024; Moorhouse et al., 2024). Pre-service teachers, however, face the challenge of acquiring AI literacy and competencies in an environment characterized by GenAI’s rapid evolution and diverse applications (Cervera & Caena, 2022; Ng et al., 2023). Consequently, many pre- and in-service educators struggle to harness GenAI’s full potential. Microlearning offers a promising solution by delivering content in concise, targeted segments that minimize cognitive overload while enhancing retention (Corbeil et al., 2021; Kohnke, 2023). This approach facilitates self-directed professional development with clear learning objectives (Zhang & West, 2019) and boosts overall engagement (Kohnke et al., 2024a). By merging time-tested pedagogical practices with digital innovation, microlearning equips pre-service teachers with practical strategies for seamlessly integrating emerging technologies (Kohnke et al., 2024b; Kohnke & Moorhouse, 2024). This poster summarizes insights from a pre-service teacher education course where GenAI and microlearning converge. It highlights practical examples, participants’ reflections, and an inclusive framework that offers actionable guidance for empowering educators in the digital age.