About This Course
Generative AI tools like Claude are transforming how researchers search for information, synthesize literature, write manuscripts, analyze qualitative data, and improve academic productivity. However, effective use requires understanding both the capabilities and limitations of AI.
This beginner-friendly course introduces researchers, postgraduate students, and educators to Claude as a research assistant while promoting ethical, transparent, and responsible AI practices aligned with international guidance.
This course is designed around responsible AI use in research, drawing on UNESCO’s guidance for generative AI in education and research, which emphasizes human oversight, transparency, ethical use, and AI as a tool to augment not replace researchers.
By the end of the course, you will confidently use Claude throughout the research workflow while maintaining academic integrity and critical thinking.
What You Will Learn
By the end of this course you will be able to:
- Explain what Claude is and how it differs from other generative AI tools
- Write effective prompts for academic research
- Use Claude to support literature reviews and research planning
- Generate research ideas and refine research questions
- Improve academic writing without compromising originality
- Use Claude responsibly while avoiding hallucinations and misinformation
- Apply ethical AI practices in line with UNESCO recommendations
- Develop a personal AI-assisted research workflow
Who This Course Is For
- Undergraduate students beginning research
- Master’s students
- PhD candidates
- Early-career researchers
- University lecturers
- Research assistants
- Librarians
- Anyone interested in learning Claude for academic work
Course Details
| Duration | 4 Weeks (Self-Paced) |
| Level | Beginner |
| Format | Video lessons, demonstrations, practical exercises, downloadable resources |
| Prerequisites | Basic computer skills and familiarity with academic research — no AI experience required |
| Certificate | Yes (on completion) |
Recommended Reading
UNESCO’s Guidance for Generative AI in Education and Research (2023) emphasizes human-centered AI, ethical governance, data privacy, and institutional responsibility in educational and research contexts.
UNESCO – Recommendation on the Ethics of Artificial Intelligence (2021) outlines principles such as transparency, accountability, equity, privacy, and human oversight.
OECD – OECD AI Principles (2019) Highlights trustworthy AI, transparency, robustness, accountability, and human-centred governance.
Course Features
- Lectures 16
- Quizzes 4
- Duration 4 weeks
- Skill level Beginner
- Language English
- Students 50
- Assessments Self
- 5 Sections
- 16 Lessons
- 4 Weeks
- Getting Started with Claude for Academic ResearchLearn what Claude is, set up your account, and understand the ethical foundations of responsible AI use before diving into research applications.5
- Prompt Engineering for ResearchersLearn how to communicate effectively with Claude to obtain high-quality academic outputs through structured, iterative prompting.4
- Using Claude Throughout the Research ProcessApply Claude across research planning, literature reviews, academic writing, and productivity - while keeping critical evaluation and final decisions firmly in the researcher's hands.5
- Responsible and Ethical Use of Claude in ResearchIdentify ethical risks, verify AI-generated information, protect confidential data, and build a repeatable responsible AI research workflow.5
- FINAL CAPSTONE PROJECTFinal Assignment (Capstone) - AI-Assisted Research Workflow1
Requirements
- Basic computer skills and familiarity with academic research — no AI experience required
