Practical AI Tools for Research Writing and Academic Success
This practical short course provides an end-to-end guide to using AI tools across the research workflow, including literature review, paper reading, data analysis, visualization, academic writing, peer review, and ethical AI use.
Instructor: Dr. Faheem Ullah
#1 Most Followed Voice in AI & Research
Dr. Faheem Ullah has delivered this course at leading global institutions, including the University of Adelaide, Charles Sturt University, the University of Tokyo, and the American University of Sharjah.
View LinkedIn ProfileCourse Modules
Module 1: Introduction to AI in Research
Generative AI, LLMs, AI tools, research workflows, benefits, limitations, and live demonstrations.
Module 2: AI for Literature Reviews
AI-powered academic search, systematic reviews, paper reading, research gaps, and literature organization.
Module 3: AI for Data Analysis and Writing
Qualitative and quantitative analysis, visualization, academic writing, citations, peer review, and feedback.
Module 4: Ethical AI Use
Responsible AI practices, journal policies, university expectations, disclosure templates, and real scenarios.
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Fee Structure
Students
For undergraduate, graduate, and doctoral students.
Faculty and Professionals
For faculty members, researchers, administrators, and academic professionals.
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