Professional Diploma in AI Applications for the Integrated Scientific Ecosystem

Level I: AI Tools in Scientific Research (50 Credit Hours)

• Introduction to Artificial Intelligence: Foundations and significance in the academic landscape.
• Global AI Landscape: Identification and mastery of the latest global AI tools and platforms.
• Literature Retrieval: AI applications for sourcing scientific research across diverse disciplines.
• Theses and Dissertations: Leveraging AI for locating and accessing postgraduate academic works.
• Knowledge Visualization: AI-driven applications for generating advanced mind maps.
• Data Extraction and Qualitative Analysis: Utilizing AI to synthesize and analyze scientific data from research papers and textbooks.
• Academic Writing: AI applications for structured scientific writing.
• Scientific Paraphrasing: Advanced AI tools for professional rephرasing and linguistic refinement.
• Similarity Indexing: AI tools for assessing plagiarism and citation integrity.
• Academic Proofreading: AI-enhanced linguistic correction and stylistic editing for scientific texts.
• AI-Content Detection: Methodologies for identifying AI-generated research and information.
• Humanizing AI Content: Strategies for mitigating AI-generated signatures to ensure scientific originality.
• Reference Management: AI applications in bibliographic management and citation systems.
• International Publishing Support: AI tools for journal selection and navigating global publishing requirements.
• Technical Translation: AI-powered multilingual academic translation.
• Professional Presentations: AI applications for designing high-impact academic presentations from inception to mastery.
• Scientific Media Production: AI tools for creating multilingual educational and scientific videos.
• Information Synthesis from Multimedia: AI-driven extraction of scientific data from video and audio recordings.
• Scientific Data Visualization: AI applications for creating professional graphics and technical illustrations.

Level II: AI Tools in International Publishing (30 Credit Hours)

• Pre-submission Essentials: Critical precautions for international scientific publishing.
• Typology of Publishing: Distinguishing between Local, International, and Predatory journals.
• Local Journal Publishing: Significance, advantages, challenges, and search methodologies.
• Global Publishing Dynamics: Pros and cons of international journal dissemination.
• Bibliographic Databases: Understanding databases, publishers, and the structural differences between them.
• Comparative Analysis of Databases: In-depth look at (Scopus - Web of Science - Science Direct).
• Practical Application: Using advanced intelligent interfaces (Scopus.ai - Sciencedirect.ai).
• Bibliometric Indicators: Mastery of metrics (CiteScore - Impact Factor - SJR – ISNP).
• Journal Ranking (Quartiles): Methodologies for identifying (Q) classifications.
• Journal Selection Strategy: Matching research with appropriate journals and adhering to Authorship Guidelines.
• Submission Protocols: Step-by-step manuscript submission and post-submission tracking.
• Submission Integrity: Analyzing reasons for manuscript withdrawal or rejection and overcoming common publishing obstacles.
• EKB Publishing Agreement: Terms, conditions, and mechanisms for utilizing the Egyptian Knowledge Bank protocols.

Level III: AI Tools in Scientific Peer-Review (30 Credit Hours)

• Peer-Review Foundations: Defining international peer-review processes, types, and their role in quality assurance.
• Global Review Protocols: Procedures, precautions, and regulatory standards.
• Technical and Formal Evaluation: Reviewing language, formatting, orthography, and grammar while considering cultural and linguistic nuances.
• Structural Assessment: Evaluating research clarity, organization, and the effectiveness of the scientific message.
• Citation and Data Verification: Auditing references and validating data accuracy and integrity.
• Integrity Assessment: Evaluating originality, objectivity, and adherence to ethical and professional standards in research.
• Visual Data Evaluation: Assessing the quality and consistency of tables, figures, and scientific imagery.
• Academic Merit Review: Evaluating research objectives, statistical analysis quality, and the validity of conclusions and recommendations.
• Editorial Compliance: Ensuring adherence to journal-specific requirements and attention to granular manuscript details.
• Technical AI Evaluation: AI applications in assessing the non-scientific (formal) aspects of research.
• Component-Based AI Review: AI-driven evaluation of Titles, Abstracts, Keywords, and Introductions.
• Methodological AI Review: Using AI to evaluate Materials and Methods (Methodology).
• AI-Enhanced Visual and Results Audit: Assessing tables, figures, results, and discussion via AI tools.
• Conclusion and Recommendation Review: AI applications in evaluating final research outcomes and implications.
• Comprehensive AI Assessment: Integrated AI applications for the holistic evaluation of research papers and theses (Scientific and Technical).
• Professional Report Writing: Structuring peer-review reports and articulating concise, clear, and professional comments.
• Constructive Feedback: Utilizing AI for generating transformative suggestions and auditing review reports.
• Practical Models: Case studies of AI-assisted peer-review reports.

Level IV: Becoming a Digital Lecturer in the AI Era (5 Credit Hours)

• Digital Lecturing: Definition, significance, and pedagogical impact.
• Digital Formats: Exploration of Video, Audio, and Text-based lecturing.
• Strategic Advantages: Accessibility, scalability, cost-efficiency, and flexibility.
• Digital Content Creation Tools: Software and platforms for digital lecture production.
• Interactive Activity: Defining participants' instructional goals and potential subject matter.
• Instructional Design: Structuring titles, introductions, core content, and conclusions.
• Visual Integration: Utilizing images, infographics, and videos in content design.
• Scripting and Slide Design: Professional writing for digital delivery.
• Graphic Design Principles: Fundamental rules for Color, Typography, and Spacing.
• AI in Instructional Design: Leveraging AI for designing scientific lectures.
• Effective Delivery Skills: Mastering digital linguistics, vocal modulation, and visual communication.
• Interactive Engagement: Managing Q&A sessions and using interactive tools (Polls, Links).
• Technical Production: Optimizing lighting, audio quality, and backgrounds for recording.
• Practical Activity: Delivering a prototype short digital lecture.
• Distribution Platforms: Navigating hosting and dissemination platforms.
• Academic Branding: Marketing digital lectures via social media and targeted advertising.
• Impact Assessment: Measuring success through engagement metrics and interaction analytics.
• Audience Retention: Strategies for sustaining digital learner engagement.
• Strategic Planning: Developing a comprehensive plan for publishing and marketing digital lectures.

Global Session Timings

The total investment includes the following Three Professional Certificates:

Full access to scientific materials and permanent lecture recordings included.