Using AI In Research Projects

This practical course teaches how to integrate AI into literature review, data extraction, and reproducible research workflows while maintaining rigor. You’ll learn to automate scans, extract structured insights, manage provenance and reproducibility, and apply ethics and bias checks suitable for academic and applied research. Tools and templates help researchers scale literature synthesis responsibly.

• Skills you’ll learn: automated literature scanning, structured extraction, provenance tracking, reproducible pipelines, ethics checks.

Certificate: Certificate of completion provided upon finishing the course.

Requirements

• Access to datasets and knowledge of research methods.

Who this course is for

• Researchers; graduate students; research managers.

Benefits

• Automate literature scans; extract key insights; ensure reproducibility; address ethics and attribution.