Resource Hub
2467 hand-picked resources, updated every week. Search it, filter it, or just browse a collection and see what catches your eye. Want today’s headlines instead? Read the free AI news feed.
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Answers come only from resources in this hub, with the sources listed underneath.
39 resources
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.
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.
First course of the Google Project Management certificate: roles, lifecycle, and the vocabulary hiring managers expect.
Why I recommend it: The cheapest way to test whether project management fits you. Finish this one course before committing to the full certificate.
Short beginner course on what generative AI is, how it differs from other machine learning, and where it fits into everyday work.
Why I recommend it: A one-sitting starting point. Take it before you put "AI" on a resume so you can talk about what these tools actually do, and where they get things wrong.
Full professional certificate covering planning, execution, risk, Agile, and Scrum, built for entry-level PM and coordinator roles.
Why I recommend it: A strong pivot path if you already coordinate work informally. Audit it free, and treat the capstone artifacts as portfolio pieces you can show in interviews.
Entry-level IT certificate covering troubleshooting, networking, operating systems, security, and customer support.
Why I recommend it: Still one of the most reliable no-degree entry points into tech. Pair it with a help desk or apprenticeship application while you study.
Certificate covering security frameworks, threat detection, Python for security tasks, SIEM tools, and incident response.
Why I recommend it: A credible on-ramp into security work. Combine it with a free conference or local meetup, because in this field who you talk to opens as many doors as what you studied.
Certificate covering research, wireframing, prototyping in Figma, and building three portfolio projects.
Why I recommend it: In UX the portfolio is the resume. The reason to take this one is the three case studies you finish with, so treat them as real work, not homework.
Certificate covering email marketing, SEO, paid media, analytics, and running an online store.
Why I recommend it: Useful twice over: as a route into marketing roles, and as the skill set a small business owner needs to stop overpaying agencies.
Certificate covering spreadsheets, SQL, R, Tableau, and the full analysis process from cleaning to presenting.
Why I recommend it: The analysis habits transfer to almost any role. Even if you never take an analyst title, being the person who can read the data changes what work you get handed.
Official training on using Gemini across Docs, Sheets, Gmail, and Meet.
Why I recommend it: Learning cross-app AI assembly at work is one of the highest-ROI skills right now.
Platform for uploading and managing the product data that powers Google Shopping ads and listings.
Google's comparison shopping service that surfaces product listings from online and local retailers.
Google's free, no-code website builder for simple business, portfolio, or informational sites.
Google DeepMind's generative AI model that creates video clips from text or image prompts.
Google's official help-center guide for creating and verifying a free Google Business Profile listing.
Why I recommend it: Start here if you're setting up your first Google Business Profile.
Free Google tool for creating and managing how a business appears on Google Search and Maps.
Google's paid advertising platform for running search, display, video, and shopping ad campaigns.
Google's free web analytics platform for tracking website traffic, user behavior, and conversions.
Why I recommend it: Essential for understanding where your website traffic is actually coming from.
Reporting on what Google's hiring research found actually predicts performance, and why the company stopped treating GPA and school prestige as meaningful screens for most roles.
In plain terms: This article explains what Google looks for in job candidates beyond college grades and school prestige. Use this advice to choose challenging coursework, build analytical skills, and highlight practical problem-solving abilities to employers.
Why I recommend it: The famous "degrees do not predict performance" reporting. Context for why skills-first hiring started at the big platforms.
Free Google tool that maps your experience to possible career paths and the skills each one needs.
In plain terms: This free tool uses artificial intelligence to analyze your work experience and skills. You can use it to discover new career paths and see what skills you need for them.
From the site: An AI-powered tool to help you uncover career potential and analyze your skills to suggest new career paths.
Why I recommend it: Use this when you cannot name what you want next. It turns a vague feeling into job titles you can research.
