Resource Hub
3488 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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117 resources
A DeepLearning.AI course built with Prior Labs, about 1.5 hours at the intermediate level, on using tabular foundation models such as TabPFN for prediction on spreadsheet-style data and connecting them to data science agents. Enrollment requires a free account.
DeepLearning.AI's intermediate Context Engineering course, about 19 hours, taught by Jeff Huber and Drew Breunig. Free to enroll; a certificate requires the paid PRO plan.
Example project reports from MIT's Fall 2026 MAS.S62 How to AI course.
A Harvard SEAS graduate course on modern AI systems, covering agents and system optimizations. Course materials are publicly available on the course site.
October 2026 post by computer scientist Scott Aaronson describing CS395T AI Alignment Theory, a new graduate course he teaches at UT Austin, with the course description and topics.
OpenAI's free educational resource for learning deep reinforcement learning: an introduction to the field, key algorithms with implementations, exercises, and guidance for becoming an RL practitioner or researcher.
A free structured course in AI alignment and AI governance — readings, exercises and facilitated cohorts. Self-paced version free to anyone.
From the site: Free online courses, grants, and intensive in-person programs from the leading talent accelerator for beneficial AI and societal resilience. Join 10,000+ alumni and start today.
Why I recommend it: The usual route in for people trying to move into safety work. The reading list alone is worth the visit even if you never join a cohort.
Anthropic's free learning hub for Claude: structured courses with video lessons and quizzes covering Claude.ai, Claude Code, Cowork, the API, and MCP, with completion badges.
Why I recommend it: A free, name-brand AI credential path. The Claude 101 course alone gives you something concrete to put under "skills" instead of vaguely claiming AI experience.
A technical learning platform with 60,000+ books, 30,000+ hours of video, live online events, and interactive labs and sandboxes from O'Reilly and nearly 200 other publishers.
Why I recommend it: Check your public library card and any school or employer account before paying — many library systems give full O'Reilly access for free, and some live events are open to anyone.
A Duke Coursera course covering the Python tooling MLOps roles rely on — virtual environments, package management, linting, testing, and deploying models as reproducible pipelines.
Why I recommend it: Useful if you are targeting ML engineering or data-science roles and need to show you can ship models, not just train them.
A hands-on Coursera project course from IBM that walks through building and deploying a simple AI web application with Python and Flask, including REST API integration and packaging for production.
Why I recommend it: Good next step after you have basic Python and want to see how an AI feature actually ships in a small web app. Audit for free; certificate available.
A friendly introduction to HTML and CSS aimed at artists and creative professionals.
Why I recommend it: Good starting point for creatives who want to build their own web presence.
Platform for hosting paid and free online communities, courses, and group coaching in one place.
Why I recommend it: Confirm the free tier limits before committing a community to it.
MIT Open Learning's curated list of free foundational AI courses and materials, from introductory to graduate level.
Why I recommend it: Pick one and finish it. A completed intro course beats three abandoned advanced ones.
Georgia Tech course catalog on edX, including analytics, computing, and AI courses that can be audited free before you decide to pay for a certificate.
Why I recommend it: Audit first. You learn the same material free and only pay if the certificate actually gets used.
Free training on selling wholesale as an independent maker, covering outreach, pricing, and retail relationships.
Why I recommend it: The outreach scripts here translate well beyond wholesale, honestly.
All-in-one link-in-bio storefront for selling digital products, coaching sessions, and courses without building a website.
Why I recommend it: If you are selling your first digital product or coaching slot, this gets you a checkout page in an afternoon instead of a build project. Start free, upgrade only when sales justify it.
Career and personal-branding courses taught by Basia Kubicka through LinkedIn Learning.
Why I recommend it: Great starting point if you want a structured course on career visibility from a LinkedIn Learning instructor.
Creative Career Lab offers short, focused mini courses and a free newsletter for creative professionals - clarity exercises, network building, application strategy, and pitch and positioning work aimed at people whose careers do not follow a linear ladder.
Why I recommend it: Creative careers rarely fit standard career advice. The clarity and positioning material here is the part I would start with.
Free, self-paced certifications in web development, data analysis, machine learning, and more, with hands-on projects.
Why I recommend it: Finish one certification and publish the projects. A completed track with real code beats five half-finished courses on a resume.
A free, self-paced project management course from the Project Management Institute, with templates for both predictive and agile approaches.
Why I recommend it: Project management language shows up in job postings across every industry. This is a free way to learn the vocabulary before you spend money on a certification.
A comprehensive nonprofit education platform offering live and on-demand webinars on fundraising, grant writing, marketing, board development, and nonprofit management.
Why I recommend it: If you are launching or leading a nonprofit, CharityHowTo fills a practical skills gap without the overhead of a degree program. Their grant-writing webinars are especially useful.
Free, senior-taught software engineering courses built for career acceleration, with pathways in web, mobile, cybersecurity, data, and AI-native applied engineering.
Why I recommend it: I often recommend CodePath to clients breaking into tech or leveling up their engineering skills without taking on bootcamp debt. The courses are rigorous, free, and taught by engineers who actually hire.
Flexible online training for nonprofit staff, boards, and volunteers, covering fundraising, leadership, governance, and management.
Why I recommend it: A solid self-paced alternative for founders and staff who need nonprofit fundamentals without a big training budget.
