collect links for AI services

Author: afeld

resources.md

@@ -102,6 +102,19 @@ Want to keep going with Python after this class? See [Developer Roadmaps](https:
 
 Many "learn Python" resources will be web development-oriented — they will probably mention [Django](https://www.djangoproject.com/)/[Flask](https://flask.palletsprojects.com/). If you want to stay focused on data, you might want to look for ones that focus on [data science](#data-analysisscience) or [Python 3 generally](#python-fundamentals). See [Courses](#courses).
 
+## Generative AI
+
+Special access for students:
+
+{% if id == "columbia" -%}
+- [Columbia AI services](https://www.cuit.columbia.edu/content/ai-services)
+{% else -%}
+- [NYU AI services](https://www.nyu.edu/life/information-technology/artificial-intelligence-at-nyu/generative-ai-services.html)
+{%- endif %}
+- [Copilot Pro through GitHub Education](https://github.com/education/students)
+- [Cursor](https://cursor.com/students)
+- [Google Colab Pro for Education](https://colab.research.google.com/signup)
+
 ## Jupyter outside this course
 
 We use [a cloud-based Jupyter environment (Google Colab)](lecture_0.ipynb#jupyter) for this course to avoid installation issues across student computers. This is the only environment that's supported for course work.

syllabus.md

@@ -298,6 +298,8 @@ For this course, it's recommended that you try doing the work yourself, asking t
    1. Close the AI chat.
    1. Re-write the solution yourself.
 
+[Tools](https://python-public-policy.afeld.me/en/{{school_slug}}/resources.html#generative-ai)
+
 {% if id == "columbia" -%}
 
 #### SIPA Academic Integrity Statement