Introduction

Artificial Intelligence (AI) applications in scientific research represent a dynamic and evolving field. These tools empower researchers to enhance data analysis and interpretation, uncover deeper insights faster, and offer effective solutions to complex research challenges. AI is increasingly becoming a cornerstone of innovation and advancement in the academic world.

Objectives

1. This diploma aims to equip researchers and postgraduate students with practical skills in using cutting-edge AI tools. The main goals include:
2. Learning how to integrate AI tools into all stages of the research process.
3. Understanding modern techniques for data analysis and result interpretation.
4. Exploring AI applications in forecasting, image analysis, and decision support.
5. Enhancing research efficiency by saving time and effort through automation.

Expected Outcomes

1. By the end of the program, participants will be able to:
2. Easily access published academic research from a wide range of journals.
3. Use AI tools to assist in academic writing and content development.
4. Extract and analyze scientific information from research papers efficiently.
5. Generate research ideas based on previously published studies.
6. Apply AI for scientific paraphrasing and linguistic refinement.
7. Translate academic materials between different languages using AI.
8. Create multilingual scientific videos using AI tools.
9. Utilize AI-powered graphic design solutions for scientific presentations.

Program Topics

1. Introduction to AI and its importance in scientific research
2. Overview of trending AI tools and how to use them
3. Using AI to retrieve scientific articles and theses across disciplines
4. Creating mind maps with AI tools
5. Extracting and analyzing scientific data from articles and books
6. Scientific writing and paraphrasing using AI
7. Checking plagiarism and similarity using AI platforms
8. Language correction in research writing
9. Detecting AI-generated content
10. Managing references and citations with AI
11. Choosing suitable journals and supporting international publication
12. Translating academic texts with AI in multiple languages
13. Creating professional presentations with AI
14. Producing multilingual scientific videos
15. Extracting data from videos and voice recordings
16. Using AI for academic graphic design

Target Audience

1. Postgraduate students (Master’s and PhD) across disciplines
2. Academic researchers and university lecturers
3. Faculty members and supervisors
4. Peer reviewers and editors
5. Professionals interested in data analysis and modern AI tools

• Schedule and Duration
• Start Date: July 2, 2025
• Days: Every Wednesday and Friday
• Time: 7:00–10:00 PM (Mecca Time)
• Duration: 9 weeks
• Total Training Hours: 50 hours
• Number of Lectures: 17 (2 per week)
• Each lecture lasts: 3 hours
• Online via Zoom

Fees and Benefits

Total Fee: $100 USD — includes:

1. An accredited diploma certificate issued by the organizing body
2. Full access to lecture recordings
3. Downloadable materials and scientific resources
4. Live theoretical explanations and hands-on practice
5. Continuous support via WhatsApp throughout the program

Trainer:

Eng. Ibrahim Ashour Ibrahim Abdul Wahab – Egypt
AI and Digital Transformation Trainer,
Head of the Scientific Research Authority at the International Training Board,
Founder of “Future Scholars Platform,”
International speaker at regional and global scientific events,
Member of the International Training Board,
Member of IFAD Academic Research Platform,
Member of the Entrepreneurship Club – Cairo University.