10 free resources on this topic. Everything here is free and hand-picked. You can also search within this topic.
Archive of Break Through Tech's AI Studio challenge projects, where university students work in teams on real machine learning problems set by partner companies.
Free guided 'missions' that walk you through building a small, real AI project in under an hour — an assistant, an app or site, a data analysis, a design, an image or video piece, or a research task. Missions are grouped by career (AI for Teaching, AI in Marketing, AI in Sales, Entrepreneurship) and built with partner tools including OpenAI, Google, Figma, Notion, Replit, Vercel, Gamma, Clay, Slack and Lovable. You finish with a working project, and completed projects are shown on your Handshake profile so employers see the work rather than a resume line. Free to get started with a Handshake account.
Why I recommend it: This is the fastest honest answer to 'I have no AI experience on my resume' — an hour gets you something you actually built and can talk about in an interview. Three caveats worth saying out loud: Handshake says free to get started rather than free forever, so check the current terms on the page; the partner tools each have their own free limits, which is where a cost can appear; and a one-hour mission is a starting point, not evidence of depth, so be ready to explain what you would do differently with more time.
An independent, curated gallery of projects people have built with Jev, with demos and maker profiles. Free to browse, no account needed.
From the site: Explore 194 curated projects built with Jev. Original demos, maker profiles, and ideas worth exploring.
Why I recommend it: Good for seeing what a tool actually gets used for, rather than what its marketing says. It is a fan-run collection, not an official site.
Portfolio builder made for data professionals: show projects, embed dashboards, add a skills timeline and share one public portfolio link. The free plan covers up to five projects with no card required.
Free, project-heavy full-stack web development curriculum.
Why I recommend it: Harder and slower than tutorial sites, and that is the point. You finish with a portfolio, not a playlist.
Free full curriculum in web development, data analysis, and Python with verified certifications.
Why I recommend it: Every certification requires building projects. Those projects are the interview conversation.
Free project-based digital job skills courses, no account required.
Why I recommend it: Every lesson ends with something you made. That artifact is what you show an employer, not the certificate.
MIT's resume guidance with samples by field, plus advice on translating technical projects and research into recruiter-readable bullets.
In plain terms: This guide from MIT outlines five practical steps for creating a clear, well-structured resume. You can use it to format your document, write strong bullet points about your accomplishments, and tailor your experience to specific job descriptions.
From the site: Five steps to writing a great resume. Your resume provides an overview of your experience and is often an employer's first impression of you.
Why I recommend it: Especially useful if your experience is projects and coursework rather than job titles.
Step-by-step toolkit for curating a recruiter-ready GitHub: profile README, three pinned public projects, clean repo naming, and the six-section README map every project should follow. Includes a quality checklist.
In plain terms: This guide shows you how to organize and clean up your GitHub profile for job applications. You can follow the quality checklist and project outline to present your best work clearly to recruiters.
Why I recommend it: Three well-documented projects beat ten messy ones. Test your profile in an incognito window.
Created by Justin Smith — Launchpad Library
Short, structured remote projects with real companies that give you portfolio work and a reference.
In plain terms: This website offers short, remote projects with real companies across fields like marketing, finance, and data analysis. You can apply to complete structured work, build samples for your portfolio, and gain practical experience.
From the site: Gain professional experience through externship opportunities with companies like Meta, PwC, Pfizer, National Geographic, Snapchat, Cargill and HP.
Why I recommend it: No experience is the hardest wall to climb. An externship gives you something concrete to put on the resume.
