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يتميز هذا المعلم بمعدل استجابة سريع، مما يدل على خدمة عالية الجودة لطلابه.
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منذ مارس 2020
أستاذ منذ مارس 2020
Unreal Engine Basics for Cinematography and Digital Motion VFX
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من 116.52 SAR
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Step into the future of filmmaking and visual effects with Unreal Engine! This introductory course is designed for aspiring cinematographers, VFX artists, and filmmakers who want to harness the power of real-time rendering to create stunning cinematic sequences and dynamic motion graphics.

You'll start by learning the fundamentals of the Unreal Engine interface, navigating 3D space, and understanding core concepts essential for virtual production. We'll then dive into virtual cinematography, exploring how to use Unreal Engine's tools to set up cameras, compose shots, control lighting, and animate camera movements with cinematic flair.

Next, you'll get hands-on experience with creating basic digital motion VFX directly within Unreal Engine. Learn how to work with particle systems, simple effects, and integrate them into your scenes to add impact and visual interest.

In this class, you will learn to:
Navigate and understand the Unreal Engine interface.
Import and manage assets for your scenes.
Master camera placement, movement, and cinematic composition within a virtual environment.
Understand and apply lighting principles for mood and storytelling.
Create and animate basic particle effects and simple visual effects.
Use Sequencer to create and edit cinematic timelines.
Render your scenes into high-quality video outputs.
Grasp the foundational workflows for virtual production and real-time VFX.

No prior experience with Unreal Engine is required. This course will provide you with the essential skills to start creating your own impressive cinematic visuals and motion VFX using this groundbreaking real-time engine.
معلومات إضافية
Bring your own laptop
المكان
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عند الطالب :
  • بالقرب من أمستردام, هولندا
من أنا؟
Hello! I'm Wingston and I'm passionate about exploring the fascinating intersections of technology, creativity, and mindfulness. I love guiding others on their learning journeys, whether that involves diving deep into code, crafting stunning visuals, or cultivating inner awareness.

With a background in software development, I've spent a lot of time working with various technologies. On my GitHub profile, you can see some of my hands-on projects involving Java, Python, C++, and embedded systems, including explorations in computer vision with OpenCV, machine learning concepts like EEG classifiers and face recognition, and various application development examples. This practical experience forms the foundation of how I teach my technical courses.

I'm excited to help you learn and create in areas like:

* **Unreal Engine Basics for Cinematography and Digital Motion VFX:** I'll help you tap into real-time rendering to bring your cinematic visions and visual effects to life.
* **TouchDesigner - Learn to Create Interactive Audio-Visual Experiences:** Together, we'll turn your creative ideas into responsive installations and captivating generative art.
* **Learn about Artificial Intelligence and How to Leverage Machine Learning in Your Everyday Life:** Drawing from my own projects in ML and computer vision, I aim to make AI approachable and show you its practical power.
* **Ableton Live, Push 3 - Live Performance as an Artform:** I'm keen to share how you can use these amazing tools to craft expressive and engaging live electronic music performances.
* **Insight and Manifestation Meditation Techniques:** Alongside my technical interests, I deeply value the power of meditation. I can guide you in techniques to cultivate self-awareness and focused intention, which I believe are invaluable for both creative work and personal well-being.

My approach is about blending practical skills with a broader understanding, whether we're debugging code or exploring meditative states. I believe that technology and mindfulness can beautifully complement each other, fostering both innovation and personal growth. I'm here to offer a supportive and credible learning environment, and I look forward to helping you master new skills and unlock your potential!
المستوى التعليمي
Diploma in Improv Theater
Certified instructor for improv
Student of awaken as love
IsTA professional
Artificial intelligence engineering course
Bachelors in Electrical engineering
Unreal engine programming
Ableton Live certified teacher
الخبرة / المؤهلات
Programmer for 11 years
Leadership role in a foundation Taste before you waste for 2 years
Certified awaken as love instructor
Concious consumer trainings and workshops for 2 years
السن
الأطفال (7-12 سنة)
شباب (13-17 سنة)
الكبار (18-64 سنة)
الكبار (65 سنة فأكثر)
مستوى الطالب
مبتدئ
متوسط
متقدم
المدة
60 دقيقة
الدرس يدور باللغة
الإنجليزية
التاميلية
الهندية
الهولندية
الجاهزية في الأسبوع العادي
(GMT -05:00)
نيويورك
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عند التلميذ
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Curious about Artificial Intelligence (AI) and Machine Learning (ML) but not sure where to start? This course is designed to unravel the mysteries of AI and show you how its powerful branch, Machine Learning, is already shaping your world and how you can consciously leverage it in your daily life.

We'll break down complex concepts into easy-to-understand language, exploring what AI truly is (and isn't) and how machine learning algorithms learn from data to make predictions and decisions. You'll discover the AI behind everyday technologies like recommendation systems on streaming services, spam filters in your email, smart assistants, and even navigation apps.

More importantly, you'll learn to:
Understand the basic principles of Artificial Intelligence and Machine Learning.
Identify how ML is used in common apps and services you interact with daily.
Recognize the benefits and potential pitfalls of AI in everyday contexts.
Learn practical ways to customize and optimize AI-driven tools for your personal needs.
Gain insights into how to use AI-powered features more effectively for productivity, entertainment, and information gathering.
Develop a better understanding of data privacy and ethical considerations surrounding AI.

This course won't turn you into an AI programmer, but it will empower you to become a more informed and savvy user of AI technologies. Join us to understand the AI revolution and learn how to make machine learning work better for you in your everyday life.
إقرأ المزيد
Dive into the world of real-time interactive art with TouchDesigner! This course is your gateway to creating stunning, dynamic audio-visual experiences, from mesmerizing VJ sets and responsive installations to unique generative art. Whether you're an artist, musician, designer, or coder, you'll learn the fundamentals of this powerful node-based visual programming environment.

We'll start with the basics, getting you comfortable with the TouchDesigner interface and its core concepts. You'll quickly move on to making visuals that react to live audio input, exploring how sound can drive animation, color, and form. We'll cover techniques for incorporating various inputs like mouse, keyboard, and even external sensors to make your creations truly interactive.

You will learn to:
Understand the TouchDesigner interface and workflow.
Work with different operator families (TOPs, CHOPs, SOPs, DATs).
Create generative visuals and patterns.
Make your visuals react to live audio and music.
Implement user interaction using mouse, keyboard, and other inputs.
Explore 2D and basic 3D visual techniques.
Manage and organize your projects effectively.
Get a taste of how to connect TouchDesigner with other software and hardware.

By the end of this class, you'll have the foundational skills to start building your own interactive audio-visual projects and a solid understanding of how to continue exploring the vast creative possibilities TouchDesigner offers. No prior TouchDesigner experience is required, just a passion for creating engaging visual experiences.
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فصول مماثلة
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I am a Professional Full Stack Developer with over 15 years of hands-on experience in software engineering, system design, and artificial intelligence.
I’ve worked across frontend, backend, DevOps, and AI, building enterprise-grade systems for real-world applications — from large-scale microservices to cognitive AI platforms.

I’m passionate about teaching the real, modern way of coding — combining deep technical foundations with today’s most advanced technologies: Generative AI, Agentic systems, RAG architectures, cloud automation, and intelligent DevOps.

Whether you are a beginner exploring your first “Hello World,” a professional improving your stack, or a researcher/developer exploring AI systems, I can guide you step-by-step — conceptually, practically, and strategically.

🧩 What You Will Learn
🖥️ Front-End Development

Master how to build responsive, interactive, and high-performance interfaces:

HTML / HTML5 – Structure, semantics, forms, accessibility

CSS / CSS3 / SCSS – Layout, animations, responsive design, Flexbox, Grid

Bootstrap / Tailwind / Material UI – Rapid design frameworks

JavaScript (ES6+) – Functional programming, event loop, closures, async/await

TypeScript – Strong typing, interfaces, decorators, generics

React.js / Next.js – Components, hooks, state management, routing, APIs

Angular (1.x to 17) – Modules, dependency injection, RxJS, advanced architecture

Vue.js (optional) – Reactive programming, lifecycle management

jQuery / AJAX – Legacy support and backend communication

Web Performance – Lighthouse, Core Web Vitals, PWA, caching strategies

⚙️ Back-End & Enterprise Development

Build scalable, secure, and intelligent server-side systems:

C / C++ / Data Structures / Algorithms / OOPS

Java / J2EE / Spring / Spring Boot / Spring Cloud / Hibernate / Struts / Wicket

Microservices Architecture – API gateway, service registry, inter-service communication

Node.js / Express / NestJS – Modern JavaScript/TypeScript backend

REST & SOAP Web Services – API design, security, documentation (Swagger / Postman)

Python (Flask / FastAPI) – REST APIs, ML pipelines, automation

Shell Scripting (Linux/Unix) – Automation, cron jobs, log parsing, DevOps scripting

PHP / Laravel / CodeIgniter – Classic web backend development

Containerization & Orchestration: Docker, Kubernetes, Helm

CI/CD & Cloud: Jenkins, GitHub Actions, Azure DevOps Pipelines

☁️ Cloud & DevOps Mastery

Learn to build, deploy, and scale applications on the cloud:

AWS (EC2, S3, Lambda, DynamoDB, API Gateway, ECS)

Azure (App Services, Functions, CosmosDB, DevOps)

Google Cloud (GCP, Vertex AI, BigQuery, Cloud Run)

Monitoring & Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Grafana, Prometheus

Infrastructure as Code (IaC): Terraform, AWS CDK, Azure Bicep

Version Control & Collaboration: Git, GitHub, GitLab, Bitbucket

CI/CD Pipelines: Build, test, deploy automation, rollback, release management

📱 App Development

Develop mobile and hybrid apps end-to-end:

Android (Java/Kotlin) – UI/UX, activity lifecycle, API integration

Hybrid Frameworks: Ionic, Cordova, React Native

Progressive Web Apps (PWA) – Offline-first, caching, mobile optimization

Firebase Integration: Auth, Firestore, Cloud Messaging

🤖 Artificial Intelligence & Machine Learning

Learn how modern AI systems are built and deployed:

AI Fundamentals: Neural networks, supervised/unsupervised learning

Machine Learning with Python: scikit-learn, TensorFlow, PyTorch

Natural Language Processing (NLP): Transformers, BERT, GPT

Computer Vision: OpenCV, YOLO, Image Classification

AI APIs & Integrations: Google DialogFlow, Azure Cognitive Services, OpenAI API

🧬 Generative AI, RAG & Agentic Systems

Special focus on real-world AI integration and automation:

Generative AI Models (GPT, Claude, Gemini, Llama, Mistral) – Practical implementation

Prompt Engineering – Designing powerful, reusable prompt frameworks

Retrieval-Augmented Generation (RAG) – Hybrid search + generation architectures

Agentic AI Systems – Building autonomous multi-agent workflows (e.g., AutoGPT, CrewAI)

Agentic RAG – Contextual memory, chaining, and reasoning systems

LangChain / LlamaIndex – RAG pipelines, document loaders, embeddings, vector DBs

Vector Databases: Pinecone, Chroma, Weaviate, FAISS

Knowledge Graphs & Context Management – Enterprise data linking with RAG

AI App Deployment: FastAPI + Streamlit + LangServe + Docker

Copilot & AI Tools: GitHub Copilot, ChatGPT API, Code Interpreter, Vertex AI Studio

Google AI Developer Kit (ADK) – Edge AI, TensorFlow Lite, Coral, and model serving

Voice AI & Conversational Design: Dialogflow CX, OpenAI Assistants, ElevenLabs

🔬 Data, Testing & Quality

Database Systems: MySQL, PostgreSQL, MongoDB, Oracle, DB2, Redis

Database Design: ERD, normalization, indexing, performance tuning

Testing Tools: JUnit, Mockito, Selenium, Cypress, Postman

TDD / BDD Practices: Unit, integration, and end-to-end testing

Logging & Monitoring: ELK, Splunk, Prometheus

Performance Optimization: Profiling, caching, concurrency

🧩 Operating Systems & Scripting

Windows / Linux / Ubuntu / Unix Administration

File Systems, Permissions, Networking, Process Management

Shell Scripting / Automation / Log Analysis

System Security and SSH Hardening

🧠 Bonus Topics

Mathematics for Programmers – Logic, combinatorics, probability, graph theory

Game Development Basics: Unity, Phaser.js, HTML5 Canvas

AI Ethics, Data Privacy, Responsible AI Design

Automation Projects & Web Crawling / Scraping: BeautifulSoup, Selenium, Puppeteer

No-Code / Low-Code Integrations: Zapier, Make, AI automations
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The programming is the most need job every ware. The demand for programmers will increase every day. And their is a big shortage in market. With great salary.
The most needed programing language for now and future is Java Scrip and Python in addition for HTML and CSS. That what I am I am going to learn. Welkom to future.
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التعرف على بيئة عمل فيجوال ستوديو سي شارب ويندوز فورم
التعرف على الادوات المهمة ومعرفة استخداماتها
التعرف على انواع البيانات
التحويل بين انواع البيانات
تصميم شكل الواجهة الرئيسية للمستخدم
برمجة الاوامر ومعرفة طريقة استدعاء كل اداة
تصميم برنامج صغير مثال(كاشير,مطعم.... الخ)
الشرط والتنفيذ ما بعد الشرط
معرفة كيفية استخدام اوامر قواعد البيانات(insert , update,delete,select), ومعرفة متى تستخدمهم
معرفة كيفية وضع مكان مخصص لاستداعاء الصور من الجهاز ووضع ايقون
التعرف على بيئة عمل اس كيو ال سيرفر
معرفة كيفية انشاء قاعدة بيانات
ادخال يدوي للبيانات
ربط قاعدة البيانات بمشروع سي شارب ويندوز فورم
ادخال البيانات بشكل اوتوماتيكي الى قاعدة البيانات باستخدام الادوات اللازمة
تعليم انشاء صفحة تسجيل دخول وانشاء حساب (ايميل وباسوورد...الخ)
عمل الة حاسبة
نصائح برمجية
وبعض الاشياء البسيطة الاخرى
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اتصل بWingston
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الدرس الأول مضمون
بواسطة
ضمان المدرس المناسب
فصول مماثلة
arrow icon previousarrow icon next
verified badge
I am a Professional Full Stack Developer with over 15 years of hands-on experience in software engineering, system design, and artificial intelligence.
I’ve worked across frontend, backend, DevOps, and AI, building enterprise-grade systems for real-world applications — from large-scale microservices to cognitive AI platforms.

I’m passionate about teaching the real, modern way of coding — combining deep technical foundations with today’s most advanced technologies: Generative AI, Agentic systems, RAG architectures, cloud automation, and intelligent DevOps.

Whether you are a beginner exploring your first “Hello World,” a professional improving your stack, or a researcher/developer exploring AI systems, I can guide you step-by-step — conceptually, practically, and strategically.

🧩 What You Will Learn
🖥️ Front-End Development

Master how to build responsive, interactive, and high-performance interfaces:

HTML / HTML5 – Structure, semantics, forms, accessibility

CSS / CSS3 / SCSS – Layout, animations, responsive design, Flexbox, Grid

Bootstrap / Tailwind / Material UI – Rapid design frameworks

JavaScript (ES6+) – Functional programming, event loop, closures, async/await

TypeScript – Strong typing, interfaces, decorators, generics

React.js / Next.js – Components, hooks, state management, routing, APIs

Angular (1.x to 17) – Modules, dependency injection, RxJS, advanced architecture

Vue.js (optional) – Reactive programming, lifecycle management

jQuery / AJAX – Legacy support and backend communication

Web Performance – Lighthouse, Core Web Vitals, PWA, caching strategies

⚙️ Back-End & Enterprise Development

Build scalable, secure, and intelligent server-side systems:

C / C++ / Data Structures / Algorithms / OOPS

Java / J2EE / Spring / Spring Boot / Spring Cloud / Hibernate / Struts / Wicket

Microservices Architecture – API gateway, service registry, inter-service communication

Node.js / Express / NestJS – Modern JavaScript/TypeScript backend

REST & SOAP Web Services – API design, security, documentation (Swagger / Postman)

Python (Flask / FastAPI) – REST APIs, ML pipelines, automation

Shell Scripting (Linux/Unix) – Automation, cron jobs, log parsing, DevOps scripting

PHP / Laravel / CodeIgniter – Classic web backend development

Containerization & Orchestration: Docker, Kubernetes, Helm

CI/CD & Cloud: Jenkins, GitHub Actions, Azure DevOps Pipelines

☁️ Cloud & DevOps Mastery

Learn to build, deploy, and scale applications on the cloud:

AWS (EC2, S3, Lambda, DynamoDB, API Gateway, ECS)

Azure (App Services, Functions, CosmosDB, DevOps)

Google Cloud (GCP, Vertex AI, BigQuery, Cloud Run)

Monitoring & Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Grafana, Prometheus

Infrastructure as Code (IaC): Terraform, AWS CDK, Azure Bicep

Version Control & Collaboration: Git, GitHub, GitLab, Bitbucket

CI/CD Pipelines: Build, test, deploy automation, rollback, release management

📱 App Development

Develop mobile and hybrid apps end-to-end:

Android (Java/Kotlin) – UI/UX, activity lifecycle, API integration

Hybrid Frameworks: Ionic, Cordova, React Native

Progressive Web Apps (PWA) – Offline-first, caching, mobile optimization

Firebase Integration: Auth, Firestore, Cloud Messaging

🤖 Artificial Intelligence & Machine Learning

Learn how modern AI systems are built and deployed:

AI Fundamentals: Neural networks, supervised/unsupervised learning

Machine Learning with Python: scikit-learn, TensorFlow, PyTorch

Natural Language Processing (NLP): Transformers, BERT, GPT

Computer Vision: OpenCV, YOLO, Image Classification

AI APIs & Integrations: Google DialogFlow, Azure Cognitive Services, OpenAI API

🧬 Generative AI, RAG & Agentic Systems

Special focus on real-world AI integration and automation:

Generative AI Models (GPT, Claude, Gemini, Llama, Mistral) – Practical implementation

Prompt Engineering – Designing powerful, reusable prompt frameworks

Retrieval-Augmented Generation (RAG) – Hybrid search + generation architectures

Agentic AI Systems – Building autonomous multi-agent workflows (e.g., AutoGPT, CrewAI)

Agentic RAG – Contextual memory, chaining, and reasoning systems

LangChain / LlamaIndex – RAG pipelines, document loaders, embeddings, vector DBs

Vector Databases: Pinecone, Chroma, Weaviate, FAISS

Knowledge Graphs & Context Management – Enterprise data linking with RAG

AI App Deployment: FastAPI + Streamlit + LangServe + Docker

Copilot & AI Tools: GitHub Copilot, ChatGPT API, Code Interpreter, Vertex AI Studio

Google AI Developer Kit (ADK) – Edge AI, TensorFlow Lite, Coral, and model serving

Voice AI & Conversational Design: Dialogflow CX, OpenAI Assistants, ElevenLabs

🔬 Data, Testing & Quality

Database Systems: MySQL, PostgreSQL, MongoDB, Oracle, DB2, Redis

Database Design: ERD, normalization, indexing, performance tuning

Testing Tools: JUnit, Mockito, Selenium, Cypress, Postman

TDD / BDD Practices: Unit, integration, and end-to-end testing

Logging & Monitoring: ELK, Splunk, Prometheus

Performance Optimization: Profiling, caching, concurrency

🧩 Operating Systems & Scripting

Windows / Linux / Ubuntu / Unix Administration

File Systems, Permissions, Networking, Process Management

Shell Scripting / Automation / Log Analysis

System Security and SSH Hardening

🧠 Bonus Topics

Mathematics for Programmers – Logic, combinatorics, probability, graph theory

Game Development Basics: Unity, Phaser.js, HTML5 Canvas

AI Ethics, Data Privacy, Responsible AI Design

Automation Projects & Web Crawling / Scraping: BeautifulSoup, Selenium, Puppeteer

No-Code / Low-Code Integrations: Zapier, Make, AI automations
verified badge
The programming is the most need job every ware. The demand for programmers will increase every day. And their is a big shortage in market. With great salary.
The most needed programing language for now and future is Java Scrip and Python in addition for HTML and CSS. That what I am I am going to learn. Welkom to future.
verified badge
التعرف على بيئة عمل فيجوال ستوديو سي شارب ويندوز فورم
التعرف على الادوات المهمة ومعرفة استخداماتها
التعرف على انواع البيانات
التحويل بين انواع البيانات
تصميم شكل الواجهة الرئيسية للمستخدم
برمجة الاوامر ومعرفة طريقة استدعاء كل اداة
تصميم برنامج صغير مثال(كاشير,مطعم.... الخ)
الشرط والتنفيذ ما بعد الشرط
معرفة كيفية استخدام اوامر قواعد البيانات(insert , update,delete,select), ومعرفة متى تستخدمهم
معرفة كيفية وضع مكان مخصص لاستداعاء الصور من الجهاز ووضع ايقون
التعرف على بيئة عمل اس كيو ال سيرفر
معرفة كيفية انشاء قاعدة بيانات
ادخال يدوي للبيانات
ربط قاعدة البيانات بمشروع سي شارب ويندوز فورم
ادخال البيانات بشكل اوتوماتيكي الى قاعدة البيانات باستخدام الادوات اللازمة
تعليم انشاء صفحة تسجيل دخول وانشاء حساب (ايميل وباسوورد...الخ)
عمل الة حاسبة
نصائح برمجية
وبعض الاشياء البسيطة الاخرى
ضمان المدرس المناسب
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