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3505 hand-picked resources for students, job seekers, career changers, founders, and AI learners — 100% free to browse with no account required.
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46 resources
Strada Education Foundation's state-by-state framework linking education to opportunity, with an interactive map, key findings, a downloadable full report and executive summary, technical appendices, and state comparisons of measures such as early-career earnings and job placement.
NPR report on teachers using AI for lesson plans and districts using chatbots for student feedback, and on how limited the research on AI and student learning remains.
A report from the Center for Digital Thriving distinguishing between written AI policies and the practical playbooks organizations and schools need to put those policies into everyday practice, with guidance on closing that gap.
A UC Berkeley news report on a peer-reviewed study, co-authored by Brian Christian and presented at the 2026 Conference on Language Modeling, finding that just 10 minutes of relying on an AI tool significantly impaired participants' ability to focus and persist with difficult tasks after the tool was removed.
The project page for a study finding that AI assistance reduces persistence and hurts independent performance once the tool is removed. Includes the paper and materials.
The online application portal for SANS Technology Institute cybersecurity programs: undergraduate and graduate degrees, certificates and single courses. Applying requires a SANS.org account; program questions go to info@sans.edu. The programs themselves charge tuition — see the SANS.edu admissions pages for details.
A Teen Vogue article on required unpaid placements such as student teaching, clinical rotations and social work practicums, and the financial strain they place on students.
Help Net Security roundup of colleges and universities offering degrees, courses and certificates that meet cybersecurity industry demand.
AI study tool with guided lessons, visual explanations and homework help across school subjects. Has a free tier; a paid Plus plan unlocks more usage.
An open-access paper on Zenodo describing Critical AI Literacies (CAILs): ways of thinking about AI that reject framings from the technology industry, naive computationalism, and dehumanizing ideologies, and that center human cognition and the integrity of research and education. Co-authored by Olivia Guest and Iris van Rooij, among others.
University of Delaware article on what science fiction portrayals of AI can teach about real-world AI development and its societal questions.
Fast Company argues schools should prepare young people for many careers and changes, not a single job for life.
Why I recommend it: Opinion piece. Fast Company blocked my check, so I wrote this from the title — confirm it opens free.
Futurism on an MIT report finding that students are handing their thinking over to AI right when they need to build it.
Why I recommend it: Futurism writes punchy headlines; read the MIT report itself for the details. See "Cognitive surrender" in the glossary.
JFF's explainer on three-year bachelor's degree programs: how schools are redesigning degrees around fewer credits and clearer career outcomes, which accreditors have approved them, and what the model could mean for cost and time-to-degree.
Why I recommend it: Worth reading before you or someone you advise commits to a four-year price tag. JFF is a workforce nonprofit with its own agenda around shorter pathways, so treat the optimism as advocacy — but the accreditation facts and school examples check out.
Code.org, now CodeAI, offers free lessons so students can understand, direct and question the AI around them.
Why I recommend it: Free nonprofit curriculum. Aimed at school students and teachers.
Rize Education's blog on higher-ed trends, enrollment, program adoption and career-ready courses, told from a tech-and-academics angle.
Why I recommend it: Free to read. Rize sells course partnerships to colleges, so its view of what schools should offer isn't neutral.
Andreessen Horowitz's 22 September 2026 announcement of HAA, a private full-time in-person school in San Francisco for people straight out of high school, built around paid work rotations (co-ops) at partner companies including Anduril, Anthropic, Coinbase, Google, Meta, NVIDIA, OpenAI, Palantir, Replit and Stripe, courses taught by founders and investors, and self-directed projects. Applications open for a Founding Class Fellowship.
Why I recommend it: Filed as a primary source, not a recommendation. Read it for what it is: a venture firm announcing a school whose partner list is its own portfolio, written by one of its general partners. What the page does not say matters more than what it does — no tuition figure, no accreditation, no mention of what happens to your credits if you leave, and living in San Francisco is on you. Ask all four in writing before applying.
Free question-and-answer site explaining AI risk arguments in plain language, founded by Rob Miles and maintained by volunteers. Answers are organised as linked questions from beginner to advanced, covering how AI is advancing, why systems may pursue goals, alignment research and AI governance. Includes Stampy, a chatbot that answers AI safety questions with sources. Open source on GitHub; run as a project of Ashgro Inc, a US 501(c)(3) charity.
Why I recommend it: The clearest free place to find out what people mean when they talk about AI risk, written so you can follow it without a technical background. Be clear about what it is: this is advocacy, not a neutral survey of the debate. The homepage opens with 'it could lead to human extinction', and the whole site is built by people who already hold that view, so you will get their strongest arguments rather than the strongest objections to them. Their own chatbot warns it can be inaccurate — check its sources before repeating anything. Read it to understand the case, then read the critics of it, and pair it with the AI Basics page here for the numbers.
Julie Bort's 22 September 2026 report on The Horowitz Andreessen Academy: a one-year, in-person San Francisco programme for people straight out of high school, about 50 places, no tuition in year one, selected on "proof of work." Raised $42m, for-profit, not accredited, so no degree or transferable credit; a two-year paid version at elite-private-school prices is floated for 2028. Free to read.
Why I recommend it: Read the unaccredited part twice before anyone in your family applies: you finish with projects, contacts and no credential, and you pay your own San Francisco housing. That can be a good trade for someone who already builds and ships; it is a bad trade for someone hoping the name will substitute for a qualification later. The company's own announcement and The Verge's write-up name the partner firms and the perks, and both are worth reading next.
Published research and analysis on education, skills and workforce markets from HolonIQ, including global market reports and outlook pieces.
From the site: Published research and analysis on education, skills and workforce markets.
Why I recommend it: The research pages are free to read, though HolonIQ sells paid intelligence products — treat the reports as vendor research and check who funded any figure you plan to quote.
Robert Miles’ YouTube channel explaining AI alignment, interpretability and existential risk in plain language.
IEEE pre-university STEM education resources, lesson plans and programs for students and educators.
Personal site of Andrew Ng, co-founder of Coursera and DeepLearning.AI and a founding lead of Google Brain, collecting his courses, writing and current projects.
From the site: Andrew Ng has helped millions of people learn AI. Founder of DeepLearning.AI, AI Fund, and LandingAI. Co-Founder of Coursera. Board Director at Amazon.
Why I recommend it: His teaching is the cheapest serious on-ramp into machine learning that exists. Start from the courses list rather than the news.
The institute behind the Millennium Prize Problems, with free lecture videos, published proofs, historical mathematics archives and details of its research programmes.
Why I recommend it: Free access to serious mathematics — the lecture library alone is worth bookmarking if you are studying or teaching math.
