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Sinds februari 2025
Leraar sinds februari 2025
Devenez un Game Artist : Modélisation 3D, Sculpture 3D, Texturing.
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Van 57.24 $ /h
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Ce cours vous permettra d’acquérir les compétences essentielles en modélisation 3D, sculpture 3D,le texturing , le UV mapping, et la préparation complète d’un objet pour son intégration dans un moteur de jeu ou toute autre application. À travers des exercices pratiques et des techniques avancées, vous apprendrez à créer des modèles optimisés et réalistes, prêts à être utilisés dans divers environnements numériques.
Extra informatie
Softwares : (chacun devrais avoir sur son ordinateur le software qu'il souhaite apprendre)
3D modelling : autodesk maya/3ds max
Sculpting : Zbrush
Texturing : Substance painter
Locatie
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Online vanuit la Tunisie
Over
Je suis une jeune artiste de 24 ans spécialisée en Environment Art, passionnée par le gaming et l’art. Ayant moi-même parcouru le chemin de l’apprentissage autodidacte, je comprends les défis, le manque d’informations et parfois la frustration que peut ressentir une personne souhaitant intégrer l’industrie du jeu vidéo.

C’est pourquoi je souhaite partager mes connaissances et accompagner ceux qui en ont besoin, en les aidant à mieux s’orienter dans le monde de la 3D et à acquérir les compétences spécifiques adaptées à leurs objectifs. Mon but est de rendre l’apprentissage plus clair, accessible et motivant pour les futurs artistes et créateurs.
Opleiding
Bachelor Game art & Animation at SAE institute Amsterdam.
j’ai acquis des compétences approfondies en modélisation 3D, sculpture 3d, texturing PBR, animation et intégration d’assets dans des moteurs de jeu ainsi que la création d'univers interactifs et jouable. Cette formation m’a permis de développer une approche artistique et technique, en travaillant sur des projets concrets et en utilisant des outils professionnels de l’industrie.
Leservaring
Professeur de Développement de jeux vidéos à l'institut APAC Tunis.
Où j’enseigne aux étudiants les compétences essentielles pour créer des jeux interactifs et immersifs.
Mon enseignement couvre plusieurs aspects du Game Development, notamment :
Le développement de jeux avec Unreal Engine 5, en mettant l’accent sur la programmation visuelle avec Blueprints, l’optimisation et l’intégration des assets.
L’animation 3D, en enseignant les principes du rigging, du skinning et de l’animation pour les personnages et objets interactifs.
La création d’interfaces UI/UX sur Unity, en guidant les étudiants sur la conception d’interfaces intuitives et ergonomiques pour améliorer l’expérience utilisateur.
Leeftijd
Tieners (13-17 jaar oud)
Volwassenen (18-64 jaar oud)
Niveau van de leerling
Beginner
Gemiddeld
Gevorderden
Duur
60 minuten
De les wordt gegeven in
Frans
Engels
Arabisch
Beschikbaarheid typische week
(GMT -05:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Ce cours vous apprendra à utiliser Unreal Engine 5. Ce logiciel efficace et puissant a récemment révolutionné la manière d'aborder les graphismes temps-réel, non seulement pour les jeux vidéo, mais aussi les VFX et la réalité virtuelle. Vous découvrirez les bases de l’interface, la création d’environnements 3D, l’éclairage, le Blueprint scripting, l’importation d’assets, la création de matériaux, l’optimisation des performances et bien plus encore. À travers des exercices pratiques, vous apprendrez à concevoir des environnement complets, des scènes interactives et à développer des projets adaptés aux jeux vidéo, ou autres projets.

Il est également possible de me présenter vos projets et d'obtenir une aide personnalisée sur ceux-ci.
Lees meer
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 Sara
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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 Sara