Course overview
Start hereAI for Research Scientists
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AI for Research Scientists (Prompt Course)

15 lessons · 232 prompts

A day in the life of a Research Scientist: what changes with these prompts.

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Start using AI as a reliable lab assistant across your entire research cycle

AI for Research Scientists (Prompt Course) equips you to integrate AI across the full spectrum of research activities-from early ideation and literature synthesis to data analysis, simulation, writing, funding, and dissemination. The course is built around practical, research-grade workflows that help you move faster with higher clarity, while keeping scientific rigor, reproducibility, and ethics front and center.

What you'll learn

  • How to frame precise AI instructions that account for research goals, domain constraints, and required deliverables
  • Ways to request transparent reasoning: assumptions stated explicitly, alternatives considered, and limitations acknowledged
  • Strategies to improve reliability: cross-checking outputs, triangulating sources, and structuring validation steps
  • Best practices for statistical thinking: matching tests to designs, surfacing assumptions, and avoiding common pitfalls
  • Approaches to simulation and modeling that support sensitivity analysis and reproducibility
  • Clear communication techniques for abstracts, figures, captions, and methods
  • Ethical safeguards covering consent, privacy, data security, dual-use risk, and credit for AI assistance
  • Methods for competitive analysis: trend tracking, technology scouting, and patent-aware planning

How this course works

  1. 15 lessonsOne task of your job each, from ai & chatgpt for literature review to research trend analysis.
  2. Ready-to-paste promptsCopy, fill in the parts in {{brackets}}, paste into ChatGPT, Claude or Gemini.
  3. Tick and completeTick the prompts you tried and mark each lesson complete.
  4. Get certifiedFinish with the exam and a certificate for LinkedIn.