This workshop, "Artificial Intelligence for Academics: Hands-On Tools and Techniques," is designed to provide faculty members, researchers, and graduate students with a comprehensive and practical introduction to the application of generative artificial intelligence within academic settings. It addresses the growing intersection between AI technologies and scholarly practice by combining conceptual grounding with hands-on training across key academic functions, including literature review, academic writing, data analysis, and instructional design.

The workshop adopts a balanced approach that highlights both the opportunities and limitations of AI tools, with particular attention to issues of academic integrity, methodological rigor, and ethical responsibility. Through interactive sessions and applied exercises, participants will gain the competencies needed to critically and effectively incorporate AI into their research and teaching workflows, thereby enhancing their digital readiness in alignment with contemporary developments in higher education.