The Google AI Professional Certificate now offers a new course on vibe coding. Launched by Grow with Google and taught by Google AI Studio’s Product and Design Lead Ammaar Reshi, this course brings you hands-on experience building custom apps. Learn how to: 1. Plan your app 2. Test and debug 3. Deploy your project And as a reminder, our Google AI Professional Certificate program teaches how to apply AI at work using practical, hands-on activities. You’ll learn how to use generative AI to sharpen your strategy, boost your creativity, and streamline the repetitive parts of your day. You’ll also build a portfolio of AI projects to show off your new skills. Get started on your certificate or the vibe coding course at grow.google/AIcert. As a bonus, you’ll get three months of Google AI Pro at no cost (terms apply). Let us know what you think of the course and program in the comments below!
About us
Our goal is to equip developers with the most advanced models to build new applications, helpful tools to write better and faster code, and make it easy to integrate across platforms and devices.
- Website
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https://goo.gle/ai-devs
External link for Google AI
- Industry
- Technology, Information and Internet
- Company size
- 10,001+ employees
Updates
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🌩️ Google Cloud & the National Oceanic and Atmospheric Administration are Advancing Weather Forecasting The NOAA: National Oceanic & Atmospheric Administration (NOAA) selected Google Cloud as its primary high-performance computing (HPC) infrastructure provider for the Weather and Climate Operational Supercomputing System (WCOSS). We’ve worked with NOAA for years to track wildfires and advance marine conservation efforts, so we’re excited to continue our partnership. How we’re modernizing the skies together: - HPC Compute on Demand: NOAA will run atmospheric simulations utilizing Google Cloud’s H4D Virtual Machines (powered by fifth-generation AMD EPYC™ processors), delivering the low-latency networking required to execute meteorology or research simulations - Advancing AI Forecasting: Recently, NOAA utilized Google DeepMind and Google Research’s WeatherNext model to predict Hurricane Melissa's Category 5 landfall five days in advance to enable early, life-saving evacuations. By expanding our collaboration, NOAA will be able to focus on improving forecast accuracy, making positive impacts to public safety, and ensuring that the U.S. remains at the forefront of global weather modeling - Agentic AI on the Horizon: These early pilot programs have successfully laid the groundwork for divisions like NOAA Fisheries to explore agentic AI applications powered by Gemini for Government (our AI platform for U.S. government use) We’re excited to embark on this journey with NOAA, and to redefine how we understand and predict patterns in the atmosphere that affect the weather we face every day. Follow Google Public Sector to stay up to date on all of the innovations and news coming out of our public sector work!
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Calling all productivity hackers – we have Google Workspace updates that were built to take work off your desk: 🛝 1. Create Slide Decks in Minutes Describe what you want, reference existing decks, and Gemini will gather context from your Google Docs, Sheets, and PDFs to build a fully editable presentation matching your brand style in minutes 🎨 2. Generate Custom Visuals You can now generate, edit, and style custom images, diagrams, and infographics directly inside Docs 💬 3. Automate Comment Workflows Spend less time sifting through feedback threads and wondering what your action item is. Gemini in Docs can now synthesize comment threads, create and respond to comments, and suggest text edits that you can accept with a single click 📹 4. Edit Videos with Natural Language With Gemini Omni Flash in Google Vids, you can now edit any video footage using simple text prompts, giving you the flexibility to test, repurpose, or extend the life of your video assets These features are rolling out to Workspace customers and Google AI subscribers now. Check out all of the Workspace July Drops here: https://lnkd.in/g5xUTyKa
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What do 24/7 cow collars, weather patterns, and AI agents have in common? More than you’d think! 🐄🤖 Meet Paul Windemuller, Founder and CEO of Dream Winds Dairy. Like many business owners, Paul has to sort through a lot of diverse data to ensure his farm is operating in the most efficient, productive way possible. So, he decided to automate some of his work using Gemini 3.6 Flash. Paul and his team built an agentic system that transforms farming data into actionable, real-time insights. Here are some examples of how it works: - Agent 1: Ingests continuous 24/7 data from cow collars, feed intake, local weather, and milk quality metrics. - Agent 2: Performs complex calculations off of their large, multi-modal datasets. - The UI: Populates a clean, daily dashboard of key metrics so the team always has their finger on the pulse of the farm. The result is helpful automation of what was a taxing administrative workload. Paul now has the information he needs to manage the farm, freeing up his time to focus on what matters on the ground. As Paul puts it, “I thought, there's no way it can really be that good yet. And I was proven wrong." We love stories like Paul’s — if you have an anecdote about how AI agents made a difference in your life or work, share it in the comments below!
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Our Gemini Notebook Product team has heard your feedback loud and clear: you want a way to organize your notebooks. 🥁 Introducing… 🥁 Collections, a brand new tab in Gemini Notebook! Collections operate like photo albums or playlists: zero rigid folder structures with maximum flexibility. Add notebooks to as many Collections as you want, or skip them and stick with the main "My Notebooks" tab. Collections have started rolling out to all users. Let us know what you think when you try them out!
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As AI models are now finding vulnerabilities faster than we can fix them, our approach to securing software must be built on highly efficient and capable models. Which brings us to our third (!) model launch of the day: Gemini 3.5 Flash Cyber. Within CodeMender (our AI agent for code security), which uses multiple 3.5 Flash Cyber agents working together to produce a single combined report, 3.5 Flash Cyber reaches competitive performance at the frontier on the popular benchmark CyberGym. The model is also optimized for finding and fixing cybersecurity vulnerabilities at scale at a lower cost. Given the dual-use nature of this technology, we have taken an intentional approach to its deployment. The model will be available exclusively to governments and trusted partners via CodeMender soon as part of a limited-access pilot program.
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Today, we're introducing not one but TWO new models, striking the balance between efficiency and quality to enable you to build production AI agents. — Gemini 3.6 Flash: Addresses efficiency feedback we received from Gemini 3.5 Flash with upgrades in coding, knowledge work, and multimodal tasks faster, more accurately, and with substantially fewer tokens per task — Gemini 3.5 Flash-Lite: Our fastest, most cost-effective 3.5-class model yet built for agentic workflows, hitting ~350 output tokens/second with improved coding and overall quality Start building with these models today via the Gemini API in Google AI Studio or try them out in the Gemini App.
