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Private lessonsComputers & ElectronicsOnline Computers & Electronics lessons

4265 online computers & electronics teachers

4265 online computers & electronics teachers

Kerim - Nijmegen, Netherlands60€
60€Ableton Live – Real-Time Visuals, Audiovisual Composition, and Music-Driven Animation
This lesson focuses on creating real-time visuals, animation, and audiovisual composition using Ableton Live together with the visual engine Videosync. It is suitable for beginners and early-intermediate users who want to explore visuals in a musical and performance-oriented context. We look at how visuals can be created, structured, and performed in relation to sound. Starting from basic setups and visual ideas, we move toward building animated and real-time visual systems that can be used for performances, installations, or audiovisual works. The emphasis is on understanding visuals as time-based systems, rather than relying on templates or ready-made effects. Depending on your interests, lessons can include: ■ working with real-time visuals and video clips ■ creating and controlling animated visuals ■ structuring visuals in relation to rhythm, timing, and musical form ■ preparing visual sessions and VJ sets for concerts ■ building audiovisual compositions and performance setups ■ creating music videos and visual content for promoting music online ■ developing visuals for art and installation projects For more experienced users, we can also explore experimental and creative approaches, including system-based animation, generative structures, unconventional audiovisual workflows and developing custom shaders. Lessons are adapted to your level and goals. No prior experience with visual tools in Ableton Live is required, and the focus is on clear concepts that can be applied across different visual approaches. Private lessons are available in my studio in Nijmegen, at your place, or online if preferred.
Digital arts · Computer graphics · Ableton live
Hamid - Brussels, Belgium25€
25€Machine Learning (ML) – Think “training” an AI to make predictions. (Used in trading bots, recommendations, etc.)Generative AI – Like ChatG
Trusted teacher: ⚙️ Step 1: Understand What AI Actually Is AI isn’t magic — it’s just pattern recognition on steroids. It learns from data, spots trends faster than humans, and automates decisions. There are three main flavors you’ll be dealing with: Machine Learning (ML) – Think “training” an AI to make predictions. (Used in trading bots, recommendations, etc.) Generative AI – Like ChatGPT or Midjourney; it creates text, code, or images. Automation AI – Uses rules + ML to perform actions automatically (Zapier, n8n, AutoGPT, etc.). 💸 Step 2: Using AI in Trading AI trading isn’t new — hedge funds have been doing it for decades. But now you can do it too. Here’s the stack you’d look at: Data Source – Pull data from APIs (like Binance, Alpha Vantage, or Polygon.io). Model – Use AI to find signals. Common tools: Python + TensorFlow/PyTorch → train models that predict price movement. GPTs → analyze news sentiment. Execution – Automate trades using APIs (like Binance or Alpaca). Testing – Backtest with historical data before going live. If you want plug-and-play options, try: Koyfin, TrendSpider, or Trade-Ideas for AI-driven analysis. Composer or Stoic.ai if you want “autopilot” portfolios. (Pro tip: the real edge isn’t in fancy models — it’s in feeding your AI clean, unique data.) 📱 Step 3: Using AI to Build Apps This is where things get fun. You don’t even need to code hardcore anymore. No-code builders: Glide, Bubble, or Adalo → use AI APIs like OpenAI, HuggingFace, or Replicate to add brains. AI dev tools: Replit Ghostwriter, GitHub Copilot, or ChatGPT’s code interpreter to write real code fast. Frameworks (if coding): Python/Flask or FastAPI for backend. React or Next.js for frontend. Firebase or Supabase for hosting & data. Hook it all together with AI APIs (like OpenAI, Anthropic, or Stability AI). 🚀 Step 4: Learn by Doing (Don’t Just Watch YouTube) The fastest way to master AI is to build real stuff: Create a sentiment analyzer that trades crypto based on tweets. Build an AI app that generates marketing copy for clients. Automate your own work — make an AI that handles your emails or schedules. 📚 Step 5: Resources That’ll Level You Up Learn ML basics: fast.ai or Google’s ML Crash Course. Build AI apps: freeCodeCamp or YouTube’s “Code with Tomi” / “Nicholas Renotte.” Trading AI: Check out “Algorithmic Trading with Python” by QuantInsti. No-code AI apps: Buildspace or FlowiseAI.
Digital arts · Computer programming
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