Resource Hub
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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44 resources
Google announcement of the Connected Apps Platform for building and managing apps that work inside Gemini and Search; developer access is through a preview sign-up.
Think with Google article on how marketing leaders can use free AI training videos to upskill teams and keep AI learning going.
Google Open Source's glossary of internal tool and process names, such as google3, Critique, Changelist and Forge, that appear in Google's open-source projects.
Google's SynthID Detector, a web tool for uploading an image, audio or video file to check for SynthID watermarks. It only detects media made by products from companies that have adopted SynthID, and the page states it is not a general AI detector.
Silicon Republic report (October 2026) on the enterprise agent Google announced at Gemini at Work 2026. Google says the agent works across Gmail, Drive, Docs, Sheets, Slides, Chat and Calendar, connects to company systems, and includes finance and legal tools. Quotes Google Cloud CEO Thomas Kurian: "You give it objectives, not instructions."
Search Engine Land reports on Google testing larger Local Services Ads that include more visual and review information in search results.
Google's open-source framework for building and training AI models, with free guides and pre-trained models. Once the industry standard, it's now used less in new research than PyTorch but still powers many production systems.
Why I recommend it: Free and open source, but it's a Google project — its development priorities follow Google's. For a new learner, PyTorch is the more common starting point in 2026.
InfoQ's report on AX, Google's newly open-sourced system for running fleets of autonomous AI agents. It explains how AX treats each agent as a long-lived task that can be paused and resumed to save computing resources, using control ideas borrowed from Kubernetes.
Why I recommend it: Free to read, though InfoQ asks you to register for some content. The performance claims come from Google's own announcement, so treat them as the company's figures until others test the system.
M.G. Siegler asks why Meta, not Google, shipped the AI assistant Google should have built long ago.
Why I recommend it: Opinion. This post is free; some Spyglass posts are for paying members.
Google's I/O 2026 announcements on combining its search engine with AI, including agent features.
Why I recommend it: Company announcement. Features roll out gradually and not everywhere.
Google's agentic development platform: a full IDE, CLI, and SDK where agents can drive your editor, terminal, and browser to complete end-to-end tasks. Uses Gemini 3.
Why I recommend it: Free in public preview with rate limits — Google has not announced future pricing. Not supported for enterprise customers on the IDE. If you want to try agent-first coding without paying up front, this is currently the fullest free option.
Google's official blog — product launches, AI announcements and policy posts, straight from the company.
From the site: Get the latest news and stories about Google products, technology and innovation on News from Google, Google's official blog.
Why I recommend it: Primary source for what Google is shipping. Marketing language included — read the "what changed" parts.
Every post by Google's CEO in one feed — product announcements, AI strategy and company positioning, straight from the source.
Why I recommend it: Primary source material — worth reading before commentary about Google, not after.
A Google Labs experiment that builds a short, finite set of personalised daily stories from the Google apps you choose to connect — an easy way to see what "personal" AI actually feels like. Free with a Google account in the U.S.
A 2026 research paper from Google's Paradigms of Intelligence team and the University of Chicago showing that safety fine-tuning meant to stop models claiming consciousness also suppresses how they represent minds in animals and people, shifting their answers on values, religiosity and well-being.
Why I recommend it: Useful if you want to speak credibly about AI alignment trade-offs in an interview or a policy conversation.
Find a Google Developer Group near you and join free community events, workshops, and meetups for developers and tech learners.
From the site: Find an event near you. Check out all upcoming events.
A three-page printable reference for Google Gemini: the PART prompt formula (Persona, Action, Reference, Tone), follow-up prompting, when to use Flash, Pro and Thinking models, saving your own context in settings, and worked sample prompts for Gemini inside Chrome, Gmail, Docs, Sheets, Slides and Drive. Includes a plain warning about Gemini being confidently wrong.
Why I recommend it: Print this and keep it next to you for a week. Most people get weak AI output because they skip the persona and the reference, and this one page fixes that faster than any course will. The limitations box at the bottom is the part to take seriously.
Created by CustomGuide
Listings and requirements for Google's engineering and technical internships, with timelines for when applications open each cycle.
Why I recommend it: Internship cycles open earlier than most people expect. Check this monthly and apply the week a posting appears rather than waiting for a deadline.
Google's hub for student-facing engineering and technical roles, including apprenticeships, early-career programs, and eligibility details.
Why I recommend it: Bookmark this page rather than a single job link. Google rotates postings constantly, and the student hub is where new apprenticeship and early-career openings surface first.
Official Discord server for the Google Developer Community, where developers connect, share knowledge, ask questions, and stay current on Google tools, APIs, and events.
Why I recommend it: A low-pressure way to meet other builders and get help with Google tools. Good for entrepreneurs exploring Workspace, Cloud, or Firebase without committing to a formal program.
Free, no-signup AI practice tool that asks common interview questions across multiple job categories, including non-technical fields, and gives basic feedback.
Why I recommend it: One of the few AI interview tools that is actually free and not built only for coding interviews. Good for warming up your voice before the real thing.
Google's 2026 retail marketing playbook on how AI search is changing holiday shopping, with consumer behavior data, channel guidance, and campaign checklists for the peak season.
Why I recommend it: The numbers in here are the argument for rethinking how customers find you. Even if you run a one-person shop, chapter one is worth your afternoon.
Created by Google
A quick method for uncovering hidden roles by searching specific ATS domains in Google. Combine site: operators with title, location, or skill keywords.
Why I recommend it: Start with one title and one ATS domain, then expand. Save the searches that return the best matches and rerun them weekly.
Free short course covering the foundations of large language models, generative AI concepts, and responsible AI principles. No coding experience required.
Why I recommend it: Start here if AI still feels like a black box. About an hour, and it gives you the vocabulary to follow every other course on this list.
