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The Google AI Professional Certificate is live on Coursera... and it’s free! So excited to be teaching in this. With Gemini 3.1 Pro, I’ll show you how to vibe code apps + use AI to give you a massive edge at work. And you get 3 free months of Google AI Pro. See you in class! :)show more

Our new Google AI Professional Certificate from #GrowWithGoogle features... 20+ hands-on labs designed to help you use AI as a partner in your daily work. You’ll learn how to: ✔️ Build project plans and daily workflows ✔️ Vibe code custom AI applications for your job ✔️ Generate custom marketing and creative assets ✔️ Develop data-backed market researchshow more

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A 14-year-old American girl bought a house in cash... at 16 while her classmates were taking exams. It started with one Google Maps search - she found an HVAC company with 4.8 stars, 280 reviews and a website too embarrassing to show clients. Copied their data into ChatGPT 5.5 - 2 minutes later a complete brief, an hour later a live site with booking and a reviews section. Called the owner and showed him the preview. He signed the $900 invoice the same day. Then she stopped looking for clients by hand. Outscraper pulls 200 businesses from Google Maps in 10 minutes - name, email, rating, review count. ChatGPT 5.5 writes a personalized email for each one with their real business data. 500 emails a day, 3% respond, 10% of those become clients. Month one - $3,800. Month six - $22,000. Two years - $380,000 and a house. Five million businesses on Google Maps are still waiting for that call.show more

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Created with Seedance 2.0 Prompt: Cinematic, 3D animated style,... ultra-realistic textures. A professional, friendly young woman with brown hair in a neat high bun, wearing thin-rimmed glasses and a black tech-wear jacket with glowing blue neon accents and a "FUTURE BREW" logo. She is standing behind a modern, sleek coffee counter in a high-tech cafe. Next to her, a white robotic arm is autonomously brewing coffee. Behind them, a large, floating holographic glass display shows complex data charts, inventory analytics, and graphs with glowing blue light. Soft, professional indoor lighting, shallow depth of field, 8k resolution, highly detailed, clean futuristic atmosphere, #FutureBrew #AIArt #Innovationshow more

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MY TRADING TERMINAL COSTS $0. IT'S GOOGLE SHEETS Bloomberg... Terminal - $24,000 a year. My Google Sheet pulls the same data for prediction markets, free. Parses odds from Polymarket and Kalshi simultaneously. Same market - prices differ by 3-8%. The sheet catches discrepancies and highlights them. Monitors volume. Market was quiet for a week and suddenly $200K in an hour - someone knows something. The sheet flags anomalies. News feed. Parses headlines by keywords for each market. News drops - I see it before the price moves. Resolve history - how the last 20 similar contracts moved before closing. Pattern: 12 hours before resolution the price accelerates every time. Kelly calculator: I enter my probability, market price, bankroll - the sheet tells me how much to bet. AI forecasts, separate tab. Agent analyzes all the data and gives a recommendation with reasoning. Google Apps Script, free APIs, updates every hour. People pay $500/mo for signal groups with "95% win rate" and a negative balance. I open my spreadsheet.show more

How to build your own weather trading bot Every... weather trader making money on Polymarket follows the same 7 steps. Free data. Simple formula. Repeat daily Traders making $20k-$180k all started here free APIs, basic math the crowd ignores, and patience Here's the playbook: Step 1: Pick 2-3 cities Don't try to trade everything. Start with NYC, Chicago, and one international city. Learn how the forecast behaves for those exact locations. Fewer cities = faster feedback loop Start copy-trading any trader even with $10 → Step 2: Pull free forecast data Open-Meteo API free, no API key, updates every 6 hours. NOAA official US government forecasts, 85-90% accurate at 1-2 days. Windy / Ventusky, visual model viewers to sanity-check your data These are the same data sources the top weather traders use. All free. All public Step 3: Turn forecasts into probabilities The market shows 8-12 temperature buckets (25°C, 26°C, 27°C). Your job: calculate the real probability for each bucket based on the forecast Simple method: > take the forecast daily max > assume ±1.5°C error range > simulate 50,000 scenarios > count how many land in each bucket > that's your probability per bucketshow more