Practical AI Tools for Research Writing and Academic Success for Students and Faculty

Professional Short Course | Certificate Provided

Practical AI Tools for Research Writing and Academic Success

Learn how to use AI responsibly for literature reviews, data analysis, academic writing, publication preparation, and ethical research practice.

About the Course

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 Profile

Course 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.

Fee Structure

Students

$250

For undergraduate, graduate, and doctoral students.

Faculty and Professionals

$500

For faculty members, researchers, administrators, and academic professionals.

Limited scholarships are available for scholars with demonstrated financial need.

Ready to Publish Faster with AI?

Seats are limited. Early registration is strongly encouraged.