4 free resources on this topic. Everything here is free and hand-picked. You can also search within this topic.
Nikhyl Singhal examines changing job-search advice through three leaders’ moves to Runway, Eli Lilly, and Google Search. The publicly readable article discusses hands-on AI experience, leadership skills, and evaluating opportunities at startups and established companies.
A directory of AI fellowships, residencies and research programs, many of them funded.
Why I recommend it: Always confirm deadlines and eligibility on each program's own page — directories fall out of date.
Free programs for undergraduate students pursuing tech careers, with a current focus on AI, data science and machine learning pathways. Includes fellowships and work-based learning run with university and industry partners.
Why I recommend it: No cost to students, but programs are application-based and tied to specific universities and cohort dates. Check the programs page for who is eligible before you plan around it.
A breakdown of ten new AI job titles — from agent orchestration to evaluations specialists — with what each role actually does and what hiring managers screen for.
From the site: Discover the 10 fastest-growing AI roles in 2026. Learn who to hire for ethics, UX, prompt engineering, and more. Stay ahead with AI talent.
Why I recommend it: Written to help companies hire, which makes it a clear read on the titles and skills being asked for right now if you are aiming at AI work.
