This course provides a practical guide to the most powerful AI tools for modern research. Begin by mastering systematic literature review (SLR) with tools like Open Knowledge Maps, Citation Gecko, Inciteful AI, LITMAPS, Carrot2, Research Rabbit, and Connected Papers to efficiently explore research topics and seminal papers.

Next, discover AI assistants for writing and summarizing research papers, including ChatPDF, Paperpal, Jenni AI, Humata.AI, Quillbot, Trinka AI, and editGPT, enabling accurate, well-structured, and grammatically correct outputs. Learn to generate citations effortlessly using MyBib, citefast, and other AI-powered reference managers.

The course also covers data analysis and visualization tools such as Julius, Parrot, docAnalyzer.AI, Powerdrill.AI, and AILYZE, as well as presentation tools like Tome App and Gamma AI. Enhance productivity with tools like Prompt Genie, Funblocks AI, and Napkin AI, and explore AI-driven search platforms such as Consensus, Perplexity, Tavily AI, and Globe Explorer AI.

By the end, students will be proficient in leveraging AI to accelerate research workflows, extract insights from data, generate papers, and manage projects efficiently, making this essential for anyone aiming to excel in academic and professional research.