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Since March 2025
Instructor since March 2025
Learn Data Communication and Networking! From the fundamentals to the deeper concepts!
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From 31 € /h
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Learn Data Communication & Networking!🌐

Are you interested in understanding how data moves across networks, how the internet works, and how to build efficient communication systems? I’m excited to announce that I will be offering Data Communication and Networking classes!

📌 What You’ll Learn:
✅ Networking fundamentals and protocols
✅ OSI and TCP/IP models explained
✅ Wired vs. wireless communication
✅ IP addressing and subnetting
✅ Network security basics
✅ Real-world applications and hands-on practice

📌 Who Is This For?
🔹 Students, tech enthusiasts, and IT professionals
🔹 Anyone looking to improve their networking skills
🔹 Those preparing for networking certifications

📌 Why Join?
✔️ Practical, easy-to-understand lessons
✔️ Hands-on exercises and real-world examples
✔️ Learn from an experienced instructor

If you’re interested, feel free to reach out for more details. Let’s dive into the world of networking together! 🚀
Location
location type icon
Online from Lebanon
About Me
Hi there! My name is Rony, a coding instructor from Lebanon! I have more than two years of tutoring experience and my teaching style revolves around making classes fun, energetic, and engaging! Looking forward to making your learning experience the best it can be!
Education
High School - Maroun Aboud Secondary School | Graduated in 2022

Modern University of Business and Science - Computer Science - 2022 - Present | Graduated in 2025 - GPA 3.6
Experience / Qualifications
2+ years of tutoring experience:
• Designed and delivered interactive programming lessons, focusing on Java, Python, and other relevant
languages.
• Assisted students in developing coding projects, debugging, and optimizing their work.
• Simplified complex programming concepts for beginners, enhancing comprehension and retention.
• Conducted assessments to evaluate student progress and provide personalized feedback.
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
Availability of a typical week
(GMT -04:00)
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
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> 🧠 “If I had an hour to solve a problem, I would spend 55 minutes defining the question.”

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A comprehensive course in Linear Programming and Linear Optimization, based on the renowned reference:

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Variables, decisions, functions, and constraints

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Fundamentals of Linear Algebra

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Slack and Surplus variables

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Polyhedron and Polytope

Hyperplanes & Halfspaces

Extreme Points

Vertices

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Active Constraints

Degeneration

The presence of extreme points

Visual examples in 2D and 3D

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Optimality Conditions

Reduced Costs

Development of the Simplex algorithm

Simplex Tableau

Pivoting

The Revised Simplex Method

Cycling and how to avoid it

Bland's Rule

Finding a basic, possible, initial solution

Two-Phase Simplex Method

Big-M Method

Mathematical aptitude and average behavior

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The relationship between variables and constraints

Weak Duality Theory

Strong Duality Theory

Conditions for Complementary Slackness

Dual variables as marginal costs

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Dual Simplex Method

Geometric interpretation of duality

Applications in Economics and Finance

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📐 Illustrations for each geometric concept

🧮 Solved examples with numbers

💻 Examples in Python using gurobipy

📊 Comparison tables between different formulas

🔗 Linking theory to practical applications

📝 Exercises at the end of each lecture
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Contact Rony
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1st lesson is backed
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✅ Cybersecurity: Ethical hacking, data protection, network security
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✅ Web Development: HTML, CSS, JavaScript

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🔹 Cambridge IGCSE & GCSE ICT & Computer Science – Teaching core and extended syllabi, focusing on programming logic, databases, and networking.
🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development.
🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications.

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📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams.
📌 Developed interactive lesson plans integrating real-world applications of technology.
📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning.
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With a strong commitment to student-centered learning and technological innovation, I am dedicated to shaping future tech leaders and empowering learners with skills relevant to careers in technology, data science, and software development.
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Are you using ChatGPT, Gemini, or other AIs, but feel like you're only scratching the surface of their potential? Are your results often generic, inaccurate, or disappointing? It's time to move from a simple user to a true AI pilot. 🤖✨

This 4-hour intensive course, "Prompt Engineering: Mastering the Art of Communicating with AI," is designed to give you the keys to effective and powerful communication with language models (LLM).

> 🧠 “If I had an hour to solve a problem, I would spend 55 minutes defining the question.”

This is the essence of Prompt Engineering: the art of asking the right question to get the best answer. 🎯

🧰 Exclusive methods taught

During this practical and immersive training, you will discover two structured methods to transform your ideas into tangible results:

🔹 The ACTIF method
👉 A foolproof approach to building powerful text prompts. You'll learn how to define:

Action
Context
Tone
Identify
Format

...in order to obtain clear, targeted and impactful content, analyses or strategies. 📄💡

🔹 The IMAGES method
👉 Your visual passport to create high-value graphic prompts. Based on 6 pillars:

Intention
Pattern
Atmosphere
Grain
Aesthetic
Style

...it will allow you to generate images that faithfully reflect your creative vision. 🖼️🎨

👥 Who is this course for?

✅ Entrepreneurs and marketers who want to create targeted content and relevant strategies.
✅ Content creators, writers, designers who want to boost their creativity and productivity.
✅ Professionals from all sectors wishing to integrate AI into their daily lives (automation, analysis, resolution).
✅ Students and curious people wanting to master a strategic skill for the future of work. 🧑‍💼📈

🧠 What you will master in 4 hours:

✔️ Understand the functioning and capabilities of LLMs (ChatGPT, Gemini, Claude, etc.) 🤓
✔️ Structure impactful text requests with the ACTIF method 📝
✔️ Create powerful visual prompts with the IMAGES method 🖌️
✔️ Move from simple interaction to intelligent co-creation with AI 🧩
✔️ Put it into practice with concrete exercises, dedicated tools, and realistic use cases 🛠️📊

🎓 Join us!

Stop being subjected to AI... and start leading it.
🎯 Master the art of dialogue with artificial intelligence,
💼 and unleash their full potential to serve your projects!
verified badge
Laroussi
Session 1: Revolutionizing your Scientific Writing with LaTeX & AI
Duration: 2 Hours | Level: Beginner | Tools: Overleaf + AI**

First Hour: Foundations and Cloud Environment (60 min)

1. Introduction to LaTeX Philosophy (15 min)

- The "WYSIWYM" concept:** Explain the difference between Word (*What You See Is What You Get*) and LaTeX (*What You See Is What You Mean*). Why content takes precedence over form.
- Key advantages:** Unrivaled typographic quality, automatic reference management, stability on long documents (theses), and free of charge.
- The structure of a file:** Distinction between the **preamble** (the brain: settings and packages) and the **body of the document** (the heart: text).

2. Immersion in Overleaf (25 min)

- Configuration:** Creation of an account and first project "Blank Project".
- Exploring the interface:** The file panel (left), the code editor (middle) and the PDF preview (right).
- Real-time collaboration:** How to share a project and leave comments (like on Google Docs).
- History and versions:** How to revert to a previous version in case of a compilation error.

3. Practical Workshop: My First Document (20 min)

* Writing basic commands: `\documentclass`, `\usepackage[french]{babel}`, `\title`, `\author`.
* Compilation of the document and observation of the result.
* Structuring: Use of `\section` and `\subsection`.

Second Hour: Mathematics and the Magic of AI (60 min)

4. The Power of Mathematics (20 min)

- Mathematical modes:** Difference between the text (`$...$`) and the centered block (`\[...\]`).
- Essential syntax:** Fractions `\frac{}{}`, exponents `^`, indices `_`, and roots `\sqrt{}`.
- Introduction to AMS packages: Why amsmath and amssymb are essential for professional rendering.

5. From hand to screen: AI at the service of LaTeX (30 min)

- Presentation of OCR tools:** Use of **Mathpix Snip** (the leader) or models like Gemini/ChatGPT to transform a photo into code.
- Concrete demonstration:
1. Take a picture of a complex handwritten formula (e.g., an integral with matrices).
2. Use AI to generate the corresponding LaTeX code.
3. Correction and insertion: Learn to check the AI-generated code before copying and pasting it into Overleaf.

6. Conclusion and Q&A (10 min)

* Summary of achievements.
* Resources for further exploration
* Definition of the exercise for the next session.
verified badge
عبدالرحمن
A comprehensive course in Linear Programming and Linear Optimization, based on the renowned reference:

Bertsimas, D., & Tsitsiklis, J. N. (1997). Introduction to Linear Optimization. Athena Scientific.

The course covers the first five chapters in their entirety, forming the foundation upon which everything that follows in mathematical improvement is built. The concepts are explained in clear Arabic with step-by-step solved examples, illustrations, and practice exercises.

The five lectures:

Lecture 1 — Introduction to Linear Optimization:

What is optimization? And why do we need it?

Variables, decisions, functions, and constraints

The general formula for linear programming

Standard Form

Reducing any issue to the standard formula

Piecewise Linear Convex Functions

Graphing and solution

Fundamentals of Linear Algebra

Analysis of algorithms and number of operations

Lecture 2 — Linear Programming Basics (LP Basics):

Practical examples: food issues, production, scheduling, networks, pattern classification

Converting problems to standard format

Remove free variables

Slack and Surplus variables

convex and concave functions

Absolute values in objective functions

Graphical solution in 2D and 3D

The five possible solutions

Lecture 3 — Geometry of Linear Programming (LP):

Polyhedron and Polytope

Hyperplanes & Halfspaces

Extreme Points

Vertices

Basic Feasible Solutions

Active Constraints

Degeneration

The presence of extreme points

Visual examples in 2D and 3D

Lecture 4 — The Simplex Method:

Optimality Conditions

Reduced Costs

Development of the Simplex algorithm

Simplex Tableau

Pivoting

The Revised Simplex Method

Cycling and how to avoid it

Bland's Rule

Finding a basic, possible, initial solution

Two-Phase Simplex Method

Big-M Method

Mathematical aptitude and average behavior

Klee-Minty cube

Lecture 5 — Duality Theory:

The original (Primal) and dual problem

The relationship between variables and constraints

Weak Duality Theory

Strong Duality Theory

Conditions for Complementary Slackness

Dual variables as marginal costs

Shadow Prices

Dual Simplex Method

Geometric interpretation of duality

Applications in Economics and Finance

Advantages:

🎯 Explanation based on an accredited academic reference

📐 Illustrations for each geometric concept

🧮 Solved examples with numbers

💻 Examples in Python using gurobipy

📊 Comparison tables between different formulas

🔗 Linking theory to practical applications

📝 Exercises at the end of each lecture
Good-fit Instructor Guarantee
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