Complete AI Training

Prompt course · 8 lessons · 24 prompts · 1 hour · Beginner

AI for Academic Advisors

This course gives academic advisors eight ready-to-use prompts for degree audits, schedules, policy answers, and student outreach. You will practice each one with real advising scenarios and learn how to keep student data safe.

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What you'll learn

  • Degree explanations: Turn dense degree audits and catalog rules into clear checklists for students.
  • Schedule planning: Create draft semester plans, check prerequisites, and prepare backup options.
  • Major selection: Compare majors, connect interests to programs, and plan a realistic change path.
  • Progress monitoring: Spot warning signs and draft recovery plans for students who are falling behind.
  • Resource referrals: Match student needs to campus services and write warm, actionable referrals.
  • Policy answers: Simplify academic policies and draft accurate answers for common questions.
  • Student messages: Draft follow-ups and outreach that are clear, caring, and easy to act on.
  • Admin streamlining: Turn meeting notes and repeated questions into records, FAQs, and session plans.

What's inside

8 lessons · 24 prompts
  1. Before you start · framework course CARE Prompt Framework: Context, Action, Result, ExampleCARE suits academic advising because each student case needs context, action, result, and a model example, such as a probation recovery plan.
  2. Start here Priya's Wednesday, two waysA day in the life of an Academic Advisor, before and after these prompts.
  3. 01 Lesson 1 · 3 prompts Explain Degree Requirements
  4. 02 Lesson 2 · 3 prompts Plan Course Schedules
  5. 03 Lesson 3 · 3 prompts Advise Major Selection
  6. 04 Lesson 4 · 3 prompts Monitor Academic Progress
  7. 05 Lesson 5 · 3 prompts Refer To Campus Resources
  8. 06 Lesson 6 · 3 prompts Explain University Policies
  9. 07 Lesson 7 · 3 prompts Prepare Student Communications
  10. 08 Lesson 8 · 3 prompts Streamline Advising Admin

About this course

7 topics

Eight prompts for academic advisors, step by step

Academic advisors write a lot: degree audits, schedules, policy explanations, and follow-ups. This course shows you how to use AI to draft those faster while keeping your voice and your care.

Each lesson gives you a prompt you can copy into ChatGPT, Claude, or Gemini. You will see how to adjust it for your students, check the output, and protect private information.

  1. The lessons
    1. Explain Degree Requirements: Turn dense degree audits and catalog rules into clear, student-friendly explanations and checklists.
    2. Plan Course Schedules: Create draft semester plans, check prerequisite order, and prepare alternatives for common scheduling problems.
    3. Advise Major Selection: Help students compare majors, connect interests to programs, and plan a realistic change-of-major path.
    4. Monitor Academic Progress: Interpret progress data, spot warning signs, and draft recovery plans for students who are falling behind.
    5. Refer To Campus Resources: Match student needs to campus services and prepare warm, actionable referrals with follow-up steps.
    6. Explain University Policies: Simplify academic policies and draft accurate, caveated answers for common student questions and appeals.
    7. Prepare Student Communications: Draft follow-ups, outreach, and orientation messages that are clear, caring, and easy for students to act on.
    8. Streamline Advising Admin: Turn meeting notes and repeated questions into consistent records, FAQs, and orientation session plans.
  2. What this course covers

    The course covers eight core advising tasks, from explaining degree requirements to streamlining admin. Each lesson gives you a prompt, a short example, and tips for making it work in your setting.

    You will practice with realistic student scenarios, not abstract theory. By the end, you have a set of prompts you can use the same week.

  3. How the lessons connect

    The lessons follow the flow of advising work. You start with degree requirements and scheduling, then move to major selection and progress monitoring. Later lessons cover referrals, policies, communications, and admin.

    Each lesson builds on the last. For example, the progress monitoring prompt uses the same clear language you practiced in degree explanations.

  4. How to use the prompts well

    Copy a prompt into ChatGPT, Claude, or Gemini and add your own details. Use a real student situation, but change names and identifying details first.

    Read the AI output carefully. Check it against your catalog, your policy manual, and your own judgment. Adjust the tone until it sounds like you.

  5. Who this course is for

    This course is for academic advisors who want to save time on writing and repetitive questions. It works for new advisors and for experienced advisors who want a fresh approach.

    You do not need any technical background. If you can write an email, you can use these prompts.

  6. Safety and privacy for advisors

    Never put private student information into an AI tool. That includes names, ID numbers, grades, and personal details. Use general descriptions instead.

    The course shows you how to keep sensitive data out of your prompts and how to check that AI answers follow your university rules.

  7. Your next step

    Start with the first lesson and try the degree requirements prompt on a real audit you already understand. Compare the AI draft to your own explanation.

    Then move through the lessons in order and save the prompts that help you most. When you finish, you will have a personal advising toolkit.