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Prompt course · 8 lessons · 26 prompts · 1 hour · Beginner

AI for PhD Students

This prompt course for PhD students covers eight lessons from literature search to collaboration. You will learn to use AI for research design, data analysis, writing, talks, teaching, and grants.

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What you'll learn

  • Literature Search: Use AI to find related terms, summarize papers, and map debates before you write your literature review.
  • Research Design: Use AI to refine research questions, draft protocols, and pressure-test your study plan before committing time and resources.
  • Data Analysis: Use AI to debug code, choose plausible statistical tests, and turn output into careful, verifiable interpretations.
  • Academic Writing: Use AI to outline papers, tighten prose, and respond to reviewer comments without losing your scholarly voice.
  • Conference Talks: Use AI to shape your conference abstract, build a clear talk, and prepare for tough questions.
  • Teaching Support: Use AI to plan lessons, create practice problems, and explain concepts clearly to students you teach or assist.
  • Grants and Fellowships: Use AI to align your project with funder goals, draft proposal sections, and tell a persuasive research story.
  • Collaboration: Use AI to turn meetings into actions, give better peer feedback, and manage communication around research.

What's inside

8 lessons · 26 prompts
  1. Before you start · framework course Chain of Thought and Step-Back PromptingThis framework helps PhD students break complex analysis into clear steps, like checking each assumption in a regression model before interpreting results.
  2. Start here Priya's Wednesday, two waysA day in the life of a PhD Student, before and after these prompts.
  3. 01 Lesson 1 · 3 prompts Literature Search And Synthesis
  4. 02 Lesson 2 · 3 prompts Research Design And Planning
  5. 03 Lesson 3 · 3 prompts Data Analysis And Coding
  6. 04 Lesson 4 · 4 prompts Academic Writing And Revision
  7. 05 Lesson 5 · 3 prompts Conference Talks And Abstracts
  8. 06 Lesson 6 · 3 prompts Teaching And Course Support
  9. 07 Lesson 7 · 3 prompts Grants And Fellowships
  10. 08 Lesson 8 · 4 prompts Collaboration And Research Admin

About this course

7 topics

Prompts for PhD Students: Research, Writing, and Teaching

This course teaches you how to write prompts that help with every part of your PhD. You will work through eight lessons, each with practical examples for research, writing, and teaching.

You can use ChatGPT, Claude, or Gemini. The course shows you how to get useful answers and how to check them before you rely on them.

  1. The lessons
    1. Literature Search And Synthesis: Use AI to find related terms, summarize papers, and map debates before you write your literature review.
    2. Research Design And Planning: Use AI to refine research questions, draft protocols, and pressure-test your study plan before committing time and resources.
    3. Data Analysis And Coding: Use AI to debug code, choose plausible statistical tests, and turn output into careful, verifiable interpretations.
    4. Academic Writing And Revision: Use AI to outline papers, tighten prose, and respond to reviewer comments without losing your scholarly voice.
    5. Conference Talks And Abstracts: Use AI to shape your conference abstract, build a clear talk, and prepare for tough questions.
    6. Teaching And Course Support: Use AI to plan lessons, create practice problems, and explain concepts clearly to students you teach or assist.
    7. Grants And Fellowships: Use AI to align your project with funder goals, draft proposal sections, and tell a persuasive research story.
    8. Collaboration And Research Admin: Use AI to turn meetings into actions, give better peer feedback, and manage communication around research.
  2. What the Course Covers

    The course covers eight lessons that follow the arc of a research project. You start with literature search and research design, then move through data analysis, writing, talks, teaching, grants, and collaboration.

  3. How the Lessons Connect

    Each lesson builds on the one before. For example, the literature search helps you frame your research question, and the data analysis lesson prepares you to write your results. You can also jump to the lesson you need most.

  4. How to Use Prompts Well

    Good prompts are specific, give context, and ask for a format. You will learn to iterate, ask follow-up questions, and check facts. The course shows you how to keep your voice and judgment in charge.

  5. Who This Course Is For

    This course is for PhD students in any discipline who want to work more efficiently. It is also useful for master's students planning a thesis or early-career researchers.

  6. Safety and Privacy

    You will learn what not to share with AI tools and how to protect your data. The course covers ethical use, plagiarism, and how to stay compliant with your institution's rules.

  7. Your Next Step

    After this course, you can take video courses picked for PhD students, each with a certification. These help you go deeper into specific tools or research methods.