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معلم موثوق
يتميز هذا المعلم بمعدل استجابة سريع، مما يدل على خدمة عالية الجودة لطلابه.
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منذ يناير 2021
أستاذ منذ يناير 2021
Mixed/Augmented/Virtual Reality human-robot interfaces for remote operations in hazardous environments
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من 77.65 $
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I will teach you how to develop a human-robot interface for remote operations in hazardous environments, for example, in the radioactive areas at the European Organization for Nuclear Research (CERN).

This is an authored course based on my PhD research, you will understand:
-what realities we can have (virtual, augmented, mixed, extended)
-what are the head-mounted devices and what are their advantages
-how to overcome limited bandwidth in a mobile network while operating a robot in the XR interface
-how to remotely control robots and program the communication
-Unity game engine use for the interface development
المكان
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عبر الانترنت من سويسرا
من أنا؟
I am always keen to share my knowledge and passion with anyone who is interested in getting to know more about this fascinating world of robotics, computerization and automatization.
المستوى التعليمي
PhD in Computer Science and Robotics
Master of Science in Engineering and Bachelor of Science in Engineering in Control Engineering and Robotics, specialization in Automation of Machines, Vehicles and Apparatus
الخبرة / المؤهلات
I have deep knowledge of computer science, robotics and electrical/mechanical/automation engineering. I have been awarded the Best Graduate of a European university, have worked as an engineer in Nokia in 5G technology, then at CERN for several years to develop control systems and Mixed Reality human-robot interfaces, and currently at ESA in Mixed Reality astronaut training.
السن
شباب (13-17 سنة)
الكبار (18-64 سنة)
الكبار (65 سنة فأكثر)
مستوى الطالب
مبتدئ
متوسط
متقدم
المدة
45 دقيقة
60 دقيقة
90 دقيقة
الدرس يدور باللغة
الإنجليزية
البولندية
الفرنسية
الجاهزية في الأسبوع العادي
(GMT -05:00)
نيويورك
at teacher icon
على الانترنت عبر كاميرا ويب
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
I have deep knowledge of computer science, robotics and electrical/mechanical/automation engineering. I have been awarded the Best Graduate of a European university, have worked as an engineer in Nokia in 5G technology, then at CERN for several years to develop control systems and Mixed Reality human-robot interfaces, and currently at ESA in Mixed Reality astronaut training.

I am always keen to share my knowledge and passion with anyone interested in learning more about this fascinating world of robotics, computerization and automatization.

Having experienced how education and practical skills are important in the career, I would like to offer this class. The subject of the class will be fully customized to the student's interest, level and motivation.
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If you’ve ever felt that science and math are difficult, it’s probably because no one showed you how to think like a problem solver.
In my classes, you’ll learn not just formulas or code but how to truly understand concepts, apply them, and build strong logical intuition.

I teach:
• 🔢 Mathematics: From algebra and calculus to applied problem-solving for real-world use.
• 💻 Computer Science: Coding fundamentals (Python, C++), algorithms, and logical thinking for beginners and intermediate learners.
• ⚛️ Physics: Mechanics, thermodynamics, and practical examples that make abstract ideas simple and visual.

As a Software Engineer and Master’s student in Engineering at Nagoya University, I bring both academic knowledge and hands-on experience from real projects. My teaching approach is interactive, visual, and deeply focused on understanding over memorization.

Let’s turn complex problems into clear, step-by-step insights — and make learning something you genuinely enjoy.
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By delving deep into the practical applications of statistics and data science, this course is designed to set you up for success.

Learn from real-world examples: Instead of spending hours on theoretical material and trying to relate it to practical issues, we will focus solely on applied statistics. Programming will allow you to apply theory to real-world problems, equipping you with the knowledge and skills you need to succeed.

We won’t be spending hours solving math problems by hand for reinforcement, as this isn’t school. Instead, we’ll use cutting-edge methods and code libraries that leverage the latest software releases to maximize productivity and efficiency.

If you have any further questions, please do not hesitate to contact us.
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Learn to add AI features to your applications using ChatGPT API. Taught by a Full-Stack Engineer who's integrated AI into real client projects.

What You'll Learn:
ChatGPT API Integration: Add AI chat, content generation, or text analysis to any web app
Prompt Engineering: Write effective prompts that give consistent, quality results
Production Implementation: Rate limiting, cost management, error handling, security
Real-World Deployment: Deploy AI features to AWS with proper monitoring and logging

Technologies:
OpenAI API (ChatGPT-4)
React/Next.js frontend integration
Node.js/NestJS backend
Secure API key management
Cost optimization (don't waste money on API calls)

Perfect For:
Developers: Add AI to your portfolio (instant differentiation from other candidates)
Freelancers: Offer AI integration services
Students: Build an AI-powered projects that stands out
Entrepreneurs: Add AI features to your product without hiring an AI engineer

What We'll Build:
AI chatbot for your website (customer support, FAQ assistant)
Content generation tool (blog posts, product descriptions, social media)
Text analysis features (summarization, sentiment, keyword extraction)
Custom AI assistant for your specific use case

Real Examples:

E-commerce: AI product description generator
Real estate: AI property listing writer
Marketing: AI social media content creator
Education: AI study assistant

What's Included:
Working code you can deploy immediately
Cost management strategies (API calls can get expensive!)
Error handling and fallback strategies
Production deployment checklist

No AI experience needed - just basic JavaScript/React knowledge.
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Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.
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This course provides a foundational understanding of Information Technology, data centers, covering architecture, power & cooling, networking, storage, virtualization, security and lots more. Learn best practices for efficiency, scalability, and reliability while exploring emerging data center solutions. Ideal for IT professionals, engineers, and facility managers involved in data center deployment or management.

This course offers a comprehensive exploration of Information Technology, data center infrastructure, guiding students through the entire lifecycle—from initial design and planning to day-to-day operations and long-term performance optimization. Students will learn the critical components of data center design, including site selection, power and cooling systems, space planning, networking, and physical security. The course also covers operational best practices, monitoring tools, energy efficiency strategies, disaster recovery planning, and emerging trends. By integrating technical, environmental, and management perspectives, students will gain the knowledge and skills required to build and maintain high-performance, cost-effective, and sustainable data center environments.
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This course introduces students to the fundamentals of Information and Communication Technology (ICT) and its role in modern society. Topics include computer hardware and software, digital communication tools, internet technologies, data management, cybersecurity, and emerging trends. Students will gain practical skills in using productivity software, conducting online research, and understanding the ethical and responsible use of digital resources. The course emphasizes both technical proficiency and digital literacy, preparing learners to confidently navigate and contribute to a technology-driven world.
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This course is designed for anyone interested in learning data science using Python. It provides a hands-on introduction to fundamental data analysis tools such as NumPy, pandas, matplotlib, and seaborn. You'll learn how to manipulate datasets, create visualizations, and lay the foundations for statistical analysis and machine learning.

The course combines theory and practical exercises for effective, practical progress. No prior programming experience is necessary: we'll start with the basics to build solid, usable skills quickly.
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Python is a simple, powerful, and versatile programming language, ideal for beginners looking to learn or change careers in computer science. This course will help you understand the basics of programming (variables, loops, conditions, functions) through practical, hands-on exercises.
You'll learn how to create your first scripts, manipulate data, and automate simple tasks. All in an accessible, interactive, and practical setting.

This course is aimed at anyone who is a beginner, curious about digital technology, or who wishes to develop skills useful in many professional sectors.
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Objective: To understand AI without fear, to use it to simplify one's life and to know how to identify digital traps.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?
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I teach coding to beginners and intermediate students.
Lessons focus on logic, basic programming, and practical exercises.
Classes are adapted to the student’s pace.
Students can choose between website or mobile app development.Hands on dev
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*الهدف: فهم الذكاء الاصطناعي بلا خوف، استخدامه لتبسيط الحياة، وكشف الفخاخ الرقمية**

### **1: إزالة الغموض عن الذكاء الاصطناعي (ما هو بالضبط؟)**

* **الذكاء الاصطناعي ليس "روبوت الأفلام":** الفرق الجوهري بين الخيال العلمي والواقع العملي.
* **كيف يعمل (ببساطة):** تخيل "مكتبة عملاقة"؛ لقد قرأ الذكاء الاصطناعي مليارات الكتب ويستخدمها لتوقع تكملة جملة ما أو ابتكار صورة جديدة.
* **أين نستخدمه حالياً؟** المصحح اللغوي، مقترحات نتفليكس ويوتيوب، نظام الملاحة (GPS)، والمساعدات الصوتية مثل (سيري وأليكسا).

---

### **2: استخدام الذكاء الاصطناعي لتسهيل حياتك**

* **التحاور مع الذكاء الاصطناعي (ChatGPT, Claude, Gemini):**
* كتابة رسائل البريد الإلكتروني الرسمية أو الخطابات المعقدة.
* تلخيص المقالات الطويلة أو الوثائق الضخمة.
* تخطيط مسارات السفر أو ابتكار وصفات طعام من المكونات المتوفرة في الثلاجة.


* **الإبداع والذاكرة:**
* إنشاء صور مبتكرة لبطاقات المعايدة (عبر Midjourney أو DALL-E).
* ترميم وتلوين صور العائلة القديمة.

3: فن التحدث مع الآلة (مهارة الـ Prompt)**

* **أسلوب السياق:** لماذا عبارة "أعطني وصفة كعكة" أقل فعالية من "أنا أعاني من حساسية الجلوتين وسأستقبل 4 أشخاص، أعطني وصفة كعكة شوكولاتة بسيطة".
* **تقمص الأدوار:** تعلم أن تطلب من الذكاء الاصطناعي "تحدث كخبير سياحي" أو "أجبني كمهندس زراعي مختص".

4: الاحتياطات والتفكير النقدي (دليل النجاة)**

الهلوسة الرقمية":** فهم أن الذكاء الاصطناعي قد يقدم معلومات خاطئة بثقة تامة (لا تعتمد عليه أبداً في استشارة طبية أو قانونية دون تحقق).
حماية الخصوصية
عدم مشاركة بيانات حساسة (أرقام الهوية، كلمات المرور، تفاصيل البنك).
إدراك أن كل ما تكتبه قد يُستخدم في تدريب الأنظمة مستقبلاً.

كشف التزييف العميق (Deepfakes):**
كيفية تمييز الصور أو الفيديوهات المفبركة (التدقيق في تفاصيل اليدين، الانعكاسات الغريبة، أو الصوت المعدني).
* القاعدة الذهبية: التحقق عبر مقاطعة المصادر المختلفة.

5: الأخلاقيات والأثر (رؤية مستقبلية)**

حقوق الملكية:** لمن تعود ملكية الصورة التي أنشأها الذكاء الاصطناعي؟
الأثر البيئي:** استهلاك المياه والطاقة في مراكز البيانات الضخمة.
المستقبل:** هل سيحل الذكاء الاصطناعي محلنا أم سيكون مساعداً لنا؟

نصيحة إضافية:** بما أنك تستهدف منطقة الخليج، يفضل استخدام مصطلحات مثل "التحول الرقمي" (Digital Transformation) و"الابتكار" (Innovation) في مقدمة عرضك، فهي كلمات رنانة جداً لدى صناع القرار هناك.
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A mathematics, physics, and computer science teacher with a background in preparatory classes for engineering schools (MP track) and a degree in computer science specializing in artificial intelligence. He possesses a strong command of theoretical concepts and practical applications. His rigorous, structured teaching method is tailored to each student's level, aiming for deep understanding, logical reasoning, and academic success.
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These courses are part of a structured and progressive training in Object-Oriented Programming (OOP) with JavaScript, designed for beginner or intermediate developers who want to understand in depth how the language works, write clearer, more maintainable code and prepare themselves calmly for modern frameworks like React ⚛️.

Object-Oriented Programming is often perceived as complex or abstract.

My goal is simple: to make it logical, concrete, and immediately applicable.

🎯 Training Objectives

Upon completion of this training, you will be able to:

Understanding what Object-Oriented Programming really is (and when to use it)
Create and manipulate objects in JavaScript in a clean and efficient way
Use ES6 classes, constructors, and methods with confidence
Mastering this, the prototype, and the instantiation logic
Apply encapsulation, inheritance, and polymorphism without confusion
Avoiding common mistakes made by OOP beginners
Structure your JavaScript code like a professional developer

📖 Training Plan – Object-Oriented Programming in JavaScript
1. Introduction to Object-Oriented Programming 🧠
Understanding the concept, objectives and benefits of OOP.
2. Procedural Programming vs. OOP
Why unstructured code quickly becomes unmanageable.
3. Objects in JavaScript
Properties, methods and representation of the real world.
4. The keyword this
Understanding the execution context (often poorly understood).
5. Limitations of simple objects
Why duplicating code is a bad idea.
6. Constructive functions
Create multiple objects from the same model.
7. The keyword new
What it's actually doing under the hood.
8. The prototype
Sharing methods and memory optimization.
9. ES6 Classes
Modern syntax and best practices.
10. The builder
Proper initialization of objects.
11. Data Encapsulation
Protect the internal state of objects.
12. Inheritance between classes
Reusing code intelligently.
13. The keyword super
Communication between parent and child in the classroom.
14. Polymorphism
The same behavior, several forms.
15. Composition vs. Inheritance
Choosing the right architecture.
16. Best practices in OOP
Write readable, scalable, and maintainable code.
17. Common mistakes made by beginners
Pitfalls to absolutely avoid.
18. Guided practical exercise
Creation of a concrete class (product, user, etc.).
19. Assessment Quiz (Multiple Choice Questions)
To validate the actual understanding of the concepts.

🛠️ Teaching method: Understand before writing

This training program is based on a progressive and pragmatic approach:
Clear and illustrated explanations
Concrete examples from real projects
Simple but effective exercises
Constant questioning to avoid rote learning
Adaptation to the learner's level and pace
Here, we don't "recite OOP" — we understand it.

🚀 Learner's result

At the end of the training, you will not only know how to write a JavaScript class.
You will know:

1- Why does it exist?
2- When to use it
3- and when not to use it

You will leave with:
a solid understanding of OOP
a cleaner and more professional code
an ideal foundation for learning React, Node.js or any other modern framework
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Currently a first-year undergraduate student in Mathematics, I offer tutoring for middle and high school students.

Having already given private lessons, I know how to adapt to each student's difficulties to help them progress in arithmetic, algebra, and geometry. My unique strength lies in my proficiency in programming (Python, C, SQL) and office software (Excel, PowerPoint), which allows me to assist students with their computer science or technology projects.

I can give lessons in French, English or Arabic, depending on your needs.
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Python is today one of the most in-demand programming languages in the world, used in software development, data analysis, artificial intelligence, and automation.

This course is designed to guide you step by step, whether you're a beginner or looking to deepen your skills. My approach is practical and project-oriented: you'll learn by coding.

In the program :
• Python basics (variables, conditions, loops)
• Functions and modular programming
• Lists, tuples, dictionaries
• Object-oriented programming
• File manipulation
• Introduction to NumPy and Pandas (data analysis)
• Concrete mini-projects adapted to your level

This course is aimed at students, engineers, professionals or anyone wishing to develop solid skills in Python programming.

The sessions are personalized according to your objectives: academic success, exam preparation, university projects or professional development.
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If you’ve ever felt that science and math are difficult, it’s probably because no one showed you how to think like a problem solver.
In my classes, you’ll learn not just formulas or code but how to truly understand concepts, apply them, and build strong logical intuition.

I teach:
• 🔢 Mathematics: From algebra and calculus to applied problem-solving for real-world use.
• 💻 Computer Science: Coding fundamentals (Python, C++), algorithms, and logical thinking for beginners and intermediate learners.
• ⚛️ Physics: Mechanics, thermodynamics, and practical examples that make abstract ideas simple and visual.

As a Software Engineer and Master’s student in Engineering at Nagoya University, I bring both academic knowledge and hands-on experience from real projects. My teaching approach is interactive, visual, and deeply focused on understanding over memorization.

Let’s turn complex problems into clear, step-by-step insights — and make learning something you genuinely enjoy.
verified badge
By delving deep into the practical applications of statistics and data science, this course is designed to set you up for success.

Learn from real-world examples: Instead of spending hours on theoretical material and trying to relate it to practical issues, we will focus solely on applied statistics. Programming will allow you to apply theory to real-world problems, equipping you with the knowledge and skills you need to succeed.

We won’t be spending hours solving math problems by hand for reinforcement, as this isn’t school. Instead, we’ll use cutting-edge methods and code libraries that leverage the latest software releases to maximize productivity and efficiency.

If you have any further questions, please do not hesitate to contact us.
verified badge
Learn to add AI features to your applications using ChatGPT API. Taught by a Full-Stack Engineer who's integrated AI into real client projects.

What You'll Learn:
ChatGPT API Integration: Add AI chat, content generation, or text analysis to any web app
Prompt Engineering: Write effective prompts that give consistent, quality results
Production Implementation: Rate limiting, cost management, error handling, security
Real-World Deployment: Deploy AI features to AWS with proper monitoring and logging

Technologies:
OpenAI API (ChatGPT-4)
React/Next.js frontend integration
Node.js/NestJS backend
Secure API key management
Cost optimization (don't waste money on API calls)

Perfect For:
Developers: Add AI to your portfolio (instant differentiation from other candidates)
Freelancers: Offer AI integration services
Students: Build an AI-powered projects that stands out
Entrepreneurs: Add AI features to your product without hiring an AI engineer

What We'll Build:
AI chatbot for your website (customer support, FAQ assistant)
Content generation tool (blog posts, product descriptions, social media)
Text analysis features (summarization, sentiment, keyword extraction)
Custom AI assistant for your specific use case

Real Examples:

E-commerce: AI product description generator
Real estate: AI property listing writer
Marketing: AI social media content creator
Education: AI study assistant

What's Included:
Working code you can deploy immediately
Cost management strategies (API calls can get expensive!)
Error handling and fallback strategies
Production deployment checklist

No AI experience needed - just basic JavaScript/React knowledge.
verified badge
Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.
verified badge
This course provides a foundational understanding of Information Technology, data centers, covering architecture, power & cooling, networking, storage, virtualization, security and lots more. Learn best practices for efficiency, scalability, and reliability while exploring emerging data center solutions. Ideal for IT professionals, engineers, and facility managers involved in data center deployment or management.

This course offers a comprehensive exploration of Information Technology, data center infrastructure, guiding students through the entire lifecycle—from initial design and planning to day-to-day operations and long-term performance optimization. Students will learn the critical components of data center design, including site selection, power and cooling systems, space planning, networking, and physical security. The course also covers operational best practices, monitoring tools, energy efficiency strategies, disaster recovery planning, and emerging trends. By integrating technical, environmental, and management perspectives, students will gain the knowledge and skills required to build and maintain high-performance, cost-effective, and sustainable data center environments.
verified badge
This course introduces students to the fundamentals of Information and Communication Technology (ICT) and its role in modern society. Topics include computer hardware and software, digital communication tools, internet technologies, data management, cybersecurity, and emerging trends. Students will gain practical skills in using productivity software, conducting online research, and understanding the ethical and responsible use of digital resources. The course emphasizes both technical proficiency and digital literacy, preparing learners to confidently navigate and contribute to a technology-driven world.
verified badge
This course is designed for anyone interested in learning data science using Python. It provides a hands-on introduction to fundamental data analysis tools such as NumPy, pandas, matplotlib, and seaborn. You'll learn how to manipulate datasets, create visualizations, and lay the foundations for statistical analysis and machine learning.

The course combines theory and practical exercises for effective, practical progress. No prior programming experience is necessary: we'll start with the basics to build solid, usable skills quickly.
verified badge
Python is a simple, powerful, and versatile programming language, ideal for beginners looking to learn or change careers in computer science. This course will help you understand the basics of programming (variables, loops, conditions, functions) through practical, hands-on exercises.
You'll learn how to create your first scripts, manipulate data, and automate simple tasks. All in an accessible, interactive, and practical setting.

This course is aimed at anyone who is a beginner, curious about digital technology, or who wishes to develop skills useful in many professional sectors.
verified badge
Objective: To understand AI without fear, to use it to simplify one's life and to know how to identify digital traps.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?
verified badge
I teach coding to beginners and intermediate students.
Lessons focus on logic, basic programming, and practical exercises.
Classes are adapted to the student’s pace.
Students can choose between website or mobile app development.Hands on dev
verified badge
*الهدف: فهم الذكاء الاصطناعي بلا خوف، استخدامه لتبسيط الحياة، وكشف الفخاخ الرقمية**

### **1: إزالة الغموض عن الذكاء الاصطناعي (ما هو بالضبط؟)**

* **الذكاء الاصطناعي ليس "روبوت الأفلام":** الفرق الجوهري بين الخيال العلمي والواقع العملي.
* **كيف يعمل (ببساطة):** تخيل "مكتبة عملاقة"؛ لقد قرأ الذكاء الاصطناعي مليارات الكتب ويستخدمها لتوقع تكملة جملة ما أو ابتكار صورة جديدة.
* **أين نستخدمه حالياً؟** المصحح اللغوي، مقترحات نتفليكس ويوتيوب، نظام الملاحة (GPS)، والمساعدات الصوتية مثل (سيري وأليكسا).

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### **2: استخدام الذكاء الاصطناعي لتسهيل حياتك**

* **التحاور مع الذكاء الاصطناعي (ChatGPT, Claude, Gemini):**
* كتابة رسائل البريد الإلكتروني الرسمية أو الخطابات المعقدة.
* تلخيص المقالات الطويلة أو الوثائق الضخمة.
* تخطيط مسارات السفر أو ابتكار وصفات طعام من المكونات المتوفرة في الثلاجة.


* **الإبداع والذاكرة:**
* إنشاء صور مبتكرة لبطاقات المعايدة (عبر Midjourney أو DALL-E).
* ترميم وتلوين صور العائلة القديمة.

3: فن التحدث مع الآلة (مهارة الـ Prompt)**

* **أسلوب السياق:** لماذا عبارة "أعطني وصفة كعكة" أقل فعالية من "أنا أعاني من حساسية الجلوتين وسأستقبل 4 أشخاص، أعطني وصفة كعكة شوكولاتة بسيطة".
* **تقمص الأدوار:** تعلم أن تطلب من الذكاء الاصطناعي "تحدث كخبير سياحي" أو "أجبني كمهندس زراعي مختص".

4: الاحتياطات والتفكير النقدي (دليل النجاة)**

الهلوسة الرقمية":** فهم أن الذكاء الاصطناعي قد يقدم معلومات خاطئة بثقة تامة (لا تعتمد عليه أبداً في استشارة طبية أو قانونية دون تحقق).
حماية الخصوصية
عدم مشاركة بيانات حساسة (أرقام الهوية، كلمات المرور، تفاصيل البنك).
إدراك أن كل ما تكتبه قد يُستخدم في تدريب الأنظمة مستقبلاً.

كشف التزييف العميق (Deepfakes):**
كيفية تمييز الصور أو الفيديوهات المفبركة (التدقيق في تفاصيل اليدين، الانعكاسات الغريبة، أو الصوت المعدني).
* القاعدة الذهبية: التحقق عبر مقاطعة المصادر المختلفة.

5: الأخلاقيات والأثر (رؤية مستقبلية)**

حقوق الملكية:** لمن تعود ملكية الصورة التي أنشأها الذكاء الاصطناعي؟
الأثر البيئي:** استهلاك المياه والطاقة في مراكز البيانات الضخمة.
المستقبل:** هل سيحل الذكاء الاصطناعي محلنا أم سيكون مساعداً لنا؟

نصيحة إضافية:** بما أنك تستهدف منطقة الخليج، يفضل استخدام مصطلحات مثل "التحول الرقمي" (Digital Transformation) و"الابتكار" (Innovation) في مقدمة عرضك، فهي كلمات رنانة جداً لدى صناع القرار هناك.
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A mathematics, physics, and computer science teacher with a background in preparatory classes for engineering schools (MP track) and a degree in computer science specializing in artificial intelligence. He possesses a strong command of theoretical concepts and practical applications. His rigorous, structured teaching method is tailored to each student's level, aiming for deep understanding, logical reasoning, and academic success.
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These courses are part of a structured and progressive training in Object-Oriented Programming (OOP) with JavaScript, designed for beginner or intermediate developers who want to understand in depth how the language works, write clearer, more maintainable code and prepare themselves calmly for modern frameworks like React ⚛️.

Object-Oriented Programming is often perceived as complex or abstract.

My goal is simple: to make it logical, concrete, and immediately applicable.

🎯 Training Objectives

Upon completion of this training, you will be able to:

Understanding what Object-Oriented Programming really is (and when to use it)
Create and manipulate objects in JavaScript in a clean and efficient way
Use ES6 classes, constructors, and methods with confidence
Mastering this, the prototype, and the instantiation logic
Apply encapsulation, inheritance, and polymorphism without confusion
Avoiding common mistakes made by OOP beginners
Structure your JavaScript code like a professional developer

📖 Training Plan – Object-Oriented Programming in JavaScript
1. Introduction to Object-Oriented Programming 🧠
Understanding the concept, objectives and benefits of OOP.
2. Procedural Programming vs. OOP
Why unstructured code quickly becomes unmanageable.
3. Objects in JavaScript
Properties, methods and representation of the real world.
4. The keyword this
Understanding the execution context (often poorly understood).
5. Limitations of simple objects
Why duplicating code is a bad idea.
6. Constructive functions
Create multiple objects from the same model.
7. The keyword new
What it's actually doing under the hood.
8. The prototype
Sharing methods and memory optimization.
9. ES6 Classes
Modern syntax and best practices.
10. The builder
Proper initialization of objects.
11. Data Encapsulation
Protect the internal state of objects.
12. Inheritance between classes
Reusing code intelligently.
13. The keyword super
Communication between parent and child in the classroom.
14. Polymorphism
The same behavior, several forms.
15. Composition vs. Inheritance
Choosing the right architecture.
16. Best practices in OOP
Write readable, scalable, and maintainable code.
17. Common mistakes made by beginners
Pitfalls to absolutely avoid.
18. Guided practical exercise
Creation of a concrete class (product, user, etc.).
19. Assessment Quiz (Multiple Choice Questions)
To validate the actual understanding of the concepts.

🛠️ Teaching method: Understand before writing

This training program is based on a progressive and pragmatic approach:
Clear and illustrated explanations
Concrete examples from real projects
Simple but effective exercises
Constant questioning to avoid rote learning
Adaptation to the learner's level and pace
Here, we don't "recite OOP" — we understand it.

🚀 Learner's result

At the end of the training, you will not only know how to write a JavaScript class.
You will know:

1- Why does it exist?
2- When to use it
3- and when not to use it

You will leave with:
a solid understanding of OOP
a cleaner and more professional code
an ideal foundation for learning React, Node.js or any other modern framework
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Currently a first-year undergraduate student in Mathematics, I offer tutoring for middle and high school students.

Having already given private lessons, I know how to adapt to each student's difficulties to help them progress in arithmetic, algebra, and geometry. My unique strength lies in my proficiency in programming (Python, C, SQL) and office software (Excel, PowerPoint), which allows me to assist students with their computer science or technology projects.

I can give lessons in French, English or Arabic, depending on your needs.
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Python is today one of the most in-demand programming languages in the world, used in software development, data analysis, artificial intelligence, and automation.

This course is designed to guide you step by step, whether you're a beginner or looking to deepen your skills. My approach is practical and project-oriented: you'll learn by coding.

In the program :
• Python basics (variables, conditions, loops)
• Functions and modular programming
• Lists, tuples, dictionaries
• Object-oriented programming
• File manipulation
• Introduction to NumPy and Pandas (data analysis)
• Concrete mini-projects adapted to your level

This course is aimed at students, engineers, professionals or anyone wishing to develop solid skills in Python programming.

The sessions are personalized according to your objectives: academic success, exam preparation, university projects or professional development.
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