About This Course
Systematic reviews are essential for evidence-based research, but screening thousands of articles can be time-consuming and overwhelming. Rayyan AI has become one of the most widely used platforms for accelerating the screening phase through AI-assisted title and abstract screening, duplicate detection, collaboration, and conflict resolution.
This practical, hands-on course is designed specifically for beginners with little or no prior experience using Rayyan. By the end of the course, you will confidently conduct an AI-assisted systematic review using Rayyan while following best practices for transparency, reproducibility, and research integrity.
What You Will Learn
By the end of this course you will be able to:
- Explain the role of Rayyan AI within the systematic review workflow
- Set up and organize a new systematic review project in Rayyan
- Import references from major databases and reference managers
- Use Rayyan AI features to accelerate title and abstract screening
- Apply inclusion and exclusion criteria consistently
- Collaborate effectively with multiple reviewers
- Resolve reviewer conflicts transparently
- Export screening decisions for PRISMA reporting and downstream analysis
- Apply best practices for responsible and reproducible AI-assisted evidence synthesis
Who This Course Is For
- PhD students
- Master’s students
- Early-career researchers
- Academic staff
- Medical researchers
- Public health professionals
- Nursing researchers
- Education researchers
- Librarians supporting evidence synthesis
- Anyone conducting a systematic review or scoping review
Course Details
| Duration | 5 Modules (Approximately 8–10 Hours) |
| Level | Beginner — No prior Rayyan experience required |
| Format | Video lessons, live demonstrations, practical exercises, downloadable templates, assignments, final capstone project |
| Certificate | Yes (on completion) |
| Price | Ksh 10,000 (one-time) |
What’s Included
- Full 5-module video course with practical demonstrations
- PRISMA 2020 Checklist
- Systematic Review Protocol Template
- Rayyan Screening Checklist
- Search Strategy Template
- Literature Review Matrix (Excel)
- AI Prompt Library for Systematic Reviews
- Screening Decision Log
- Lifetime access to future updates
Course Features
- Lectures 11
- Quiz 0
- Duration 5 weeks
- Skill level All levels
- Language English
- Students 42
- Assessments Yes
- 6 Sections
- 11 Lessons
- 5 Weeks
Expand all sectionsCollapse all sections
- Introduction to Systematic Reviews and Rayyan AIUnderstand what a systematic review is, where Rayyan fits into the process, and set up your first project.3
- Importing References and Preparing Your ReviewLearn to search, export, and import references from major databases, and prepare a clean dataset for screening.2
- AI-Assisted Screening with RayyanApply inclusion and exclusion criteria efficiently using Rayyan's AI-assisted recommendations, while maintaining methodological rigor.2
- Collaboration, Conflict Resolution and Review ManagementConduct dual screening, resolve reviewer disagreements transparently, and maintain a clear audit trail.2
- Exporting Results, PRISMA Reporting and Best PracticesExport your screening decisions, generate PRISMA-ready documentation, and adopt reproducible, ethical review practices.1
- FINAL CAPSTONE PROJECTFinal Assignment - Mini Systematic Review Capstone1
