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Sinds december 2023
Leraar sinds december 2023
Unreal Engine 5 for Cinema, The Basic - Build a photorealistic forest scene and export to video
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Van 15.44 € /h
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This three-part course provides a concise introduction to Unreal Engine, a powerful tool used in game development, architectural visualization, and virtual production.
Starting with the basics, students will learn the interface, fundamental tools, and workflows within the engine.
Through a custom-built project workflow, they'll explore creating environments, manipulating assets, and the basics of photorealistic lighting.
By the end of the three lessons, students will have a solid foundation in Unreal Engine, enabling them to start building their own projects confidently.
Extra informatie
Requirements: A powerful computer (Desktop PC with 8GB RAM Recommended), a strong internet connection. Preferably Unreal Engine and Epic Games launcher installed before class
Locatie
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Online vanuit Verenigd Koninkrijk
Leeftijd
Kinderen (7-12 jaar oud)
Tieners (13-17 jaar oud)
Volwassenen (18-64 jaar oud)
Senioren (65+ jaar oud)
Niveau van de leerling
Beginner
Gemiddeld
Gevorderden
Duur
60 minuten
De les wordt gegeven in
Engels
Beschikbaarheid typische week
(GMT -05:00)
New York
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Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Vergelijkbare lessen
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Hamid
⚙️ 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.
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Kerim
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.
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Contacteer Ben
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1e les wordt ondersteund
door onze
Good-fit Leraar Garantie
Vergelijkbare lessen
arrow icon previousarrow icon next
verified badge
Hamid
⚙️ 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.
verified badge
Kerim
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.
Good-fit Leraar Garantie
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Contacteer Ben