This training focuses on how artificial intelligence tools can be effectively integrated into academic research workflows. Participants will learn how to use modern AI systems for literature discovery, research planning, data analysis support, and scientific writing. The session will demonstrate practical strategies for using large language models in research environments, including prompt design, structured literature exploration, and the responsible use of AI in scientific work. Participants will also explore how AI can accelerate hypothesis generation, automate repetitive research tasks, and improve productivity in complex academic projects. By the end of the training, attendees will gain a practical framework for integrating AI tools into their daily research process while maintaining scientific rigor, transparency, and reproducibility.