Resources

Try AI is committed to helping high school and undergraduate students, particularly those from historically underrepresented groups, successfully reach their academic and/or career goals. It can be challenging to begin this journey, whether by learning skills or finding new opportunities. 

To support your exploration into the field of AI, we have curated learning and career resources and opportunities below. 

Please note: These resources have been provided to us by fellow members of the AI field, and have not necessarily been endorsed or screened. Please carefully read through the provided links to determine which may be a good fit for you. Email elizabeth@try-ai.org for any concerns or suggestions.

Learning About AI

• AI background information by topic, curated by MITxHarvard Women in AI: https://github.com/mitharvardwai/mitxharvard-wai-resources

• AI for social impact Python demo, curated by Elizabeth Bondi-Kelly (Founder of Try AI, Ph.D. in Computer Science from Harvard University): https://colab.research.google.com/drive/1ZJegNWBIeD0oR_RsrJKKQA9dLnBA4Acp?usp=sharing 

• AI for Everyone on Coursera: https://www.coursera.org/learn/ai-for-everyone

• A People's Guide to AI: https://alliedmedia.org/wp-content/uploads/2020/09/peoples-guide-ai.pdf

• Learning Theory Alliance: https://let-all.com/

• Python Tutorials: https://github.com/rougier/numpy-100, https://www.labri.fr/perso/nrougier/from-python-to-numpy/

• AI Skills: https://www.microsoft.com/en-us/corporate-responsibility/ai-skills-resources?rtc=1

Exploring Careers in AI 

• Interviews of women in STEAM to help explore career paths, curated by Morgan Beck: https://sites.google.com/view/dream-steam/welcome-to-dreamsteam

• Industry lessons and interviewing tips, curated by MITxHarvard Women in AI: https://github.com/mitharvardwai/mitxharvard-wai-resources#industry-lessons-learned

• Other opportunities, curated by Elizabeth Bondi-Kelly (Founder of Try AI, Ph.D. in Computer Science from Harvard University): Career Exploration

AI Career Opportunities

• List of internships/research opportunities, hackathons, funding sources, and post-baccalaureate programs, curated by Elizabeth Bondi-Kelly (Founder of Try AI, Ph.D. in Computer Science from Harvard University): Opportunities

• AI industry internships, curated by MITxHarvard Women in AI: https://github.com/mitharvardwai/mitxharvard-wai-resources#industry-internships

Graduate School Resources

• Graduate school application information, curated by Chinasa T. Okolo (Current Ph.D. Candidate in the Department of Computer Science at Cornell University): https://github.com/chinasaokolo/csGraduateApps

• Workshops for (prospective) graduate students, curated by Chinasa T. Okolo (Current Ph.D. Candidate in the Department of Computer Science at Cornell University): https://github.com/chinasaokolo/csWorkshops 

  • • An additional workshop: https://realitylab.uw.edu/components/graduate-prep-workshop.html 

• Information about CS Grad Schools: https://jeffhuang.com/computer-science-open-data/ 

• Application tips (grad school and beyond): https://mitcommlab.mit.edu/eecs/use-the-commkit/