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Since January 2026
Instructor since January 2026
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The goal: To understand artificial intelligence fearlessly, use it to simplify life, and uncover digital traps.
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From 20 £ /h
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*Goal: To understand artificial intelligence without fear, use it to simplify life, and uncover digital traps.*

### **1: Demystifying Artificial Intelligence (What Exactly Is It?)**

* **Artificial intelligence is not a "movie robot":** The fundamental difference between science fiction and practical reality.
* **How it works (simply):** Imagine a "giant library"; AI has read billions of books and uses them to predict the completion of a sentence or create a new image.
* **Where do we use it now?** The spell checker, Netflix and YouTube suggestions, GPS navigation, and voice assistants such as Siri and Alexa.

---

### **2: Using artificial intelligence to make your life easier**

* **Interacting with artificial intelligence (ChatGPT, Cloud, Gemini):**
* Writing formal emails or complex letters.
* Summarizing long articles or huge documents.
* Plan travel itineraries or create food recipes from ingredients available in the refrigerator.


* **Creativity and Memory:**
* Create creative images for greeting cards (via Midjourney or DALL-E).
Restoring and coloring old family photos.

3: The art of speaking to the machine (the Prompt skill)**

* **Context Style:** Why is the phrase "Give me a cake recipe" less effective than "I have a gluten allergy and I'm having 4 people, give me a simple chocolate cake recipe".
* **Role-taking:** Learn to ask the artificial intelligence to "speak like a tourism expert" or "answer me like a specialized agricultural engineer."

4: Precautions and Critical Thinking (A Survival Guide)**

Digital hallucinations:** Understand that artificial intelligence may confidently present false information (never rely on it for medical or legal advice without verification).
Privacy protection
Do not share sensitive data (ID numbers, passwords, bank details).
Be aware that everything you write may be used to train systems in the future.

Detecting deepfakes:**
How to identify fake photos or videos (examine hand details, strange reflections, or metallic sound).
* The golden rule: Verify by cross-referencing different sources.

5: Ethics and Impact (A Future Perspective)**

Copyright: Who owns the image created by artificial intelligence?
Environmental impact: Water and energy consumption in large data centers.
The future: Will artificial intelligence replace us or will it be an assistant to us?

Additional tip:** Since you are targeting the Gulf region, it is preferable to use terms such as "Digital Transformation" and "Innovation" at the beginning of your presentation, as they are very catchy words for decision-makers there.
Extra information
Computer
Location
location type icon
Online from Tunisia
About Me
Whether you are a high school student aiming for a top-tier university or a college student struggling with advanced calculus, I provide a personalized, high-impact learning experience tailored to the demanding standards of **Qatar, UAE, and Saudi Arabian** educational systems.

What I Offer

1. High School Excellence (Grades 10-12)

* **International Curricula:** Full support for **IB (HL/SL)**, **A-Levels**, and **AP Calculus**.
French System:** Specialist in **Specialty Mathematics** and **Expert Maths** (French Lycées AEFE).
Test Prep:** Strategic coaching for **SAT (Math section)**, **ACT**, and **GRE**.

2. University & Advanced Level**

Calculus I, II, III: Limits, integration, and multivariable calculus.
Linear Algebra: Vector spaces, eigenvalues, and complex matrix transformations.
Differential Equations: Solving ODEs and PDEs with real-world applications.

3. Specialized Fields

Probability & Statistics:** Hypothesis testing and data analysis.
Discrete Mathematics:** Logic, set theory, and graph theory.
Mathematical Foundations for Machine Learning:** Linear algebra and optimization for future AI engineers.

My Digital Classroom

I use a professional setup to ensure a seamless online experience:

Interactive Whiteboard:** You see my notes in real-time as if we were in the same room.
Custom Resources:** Access to exclusive PDF summaries and past exam papers from elite schools in **Dubai, Doha, and Riyadh**.

Bi-lingual Support:** Clear explanations in French with Arabic support for key concepts if needed
Education
I am Dr. Abderraouf, a PhD in Mathematics with over 20 years of experience in teaching and academic research. My mission is to bridge the gap between complex mathematical theories and practical understanding for students.
Experience / Qualifications
Over 20 years of experience in teaching and academic research. I taught in the engineering national school or Tunis and many another universities
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
French
Arabic
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
Conversation with Gemini
Please provide the title and content of an online math course on apprentus.com for bachelor's students in Luxembourg, and an idea of the price.

On Apprentus.com, courses are not pre-recorded programs, but personalized offers from private tutors, university students, or engineers. For a Bachelor's student in Luxembourg, here's what the title, content, and prices of a course listing at this level typically look like:

📌 Typical ad title
The titles vary depending on the professor, but they often appear in this form:

“Online mathematics courses for Bachelor and Master students / University support in algebra and analysis” or “Tailor-made private lessons in mathematics and statistics (University level)”.

📖 Course Content and Program
The content is tailored for university students (Bachelor's/Master's) and generally covers the following areas:
Apprentices

Fundamental mathematics: Differential and integral calculus, linear algebra, geometry, trigonometry and analysis.
Private lessons at home with our private tutors...

Applied mathematics: Financial mathematics, business mathematics and mathematical foundations for data science.

Probability and statistics: Random variables, probability distributions, descriptive statistics and Bayes' theorem.

Methodology and approach:

Step-by-step explanations of abstract theoretical concepts.

Targeted preparation for midterms and university exams.

Interactive video conferencing tools (screen sharing, live annotations)
Read more
Who should attend ?
This course is specifically designed for seniors, young retirees, or anyone wishing to update their computer skills at their own pace. No prior technical knowledge is required. Patience, clarity, and a supportive approach are at the heart of this training.

Why take this course?
Information technology should no longer be a barrier, but a tool to simplify your daily life and keep you connected with loved ones. This program has two objectives: to make you completely proficient with standard software (Word, Excel) and to introduce you, in a simple and engaging way, to the new Artificial Intelligence (AI) technologies that everyone is talking about.

Educational goals :
At the end of this learning cycle, you will be able to:

Drafting and formatting administrative or personal documents.

Managing a family budget or creating simple organizational lists.

Understand what Artificial Intelligence is (like ChatGPT or Gemini) and use it as a personal assistant on a daily basis.

Detailed program (Syllabus)
The program is adaptable to your initial level. Each session includes simplified theory and plenty of practice.

Module 1: The basics of office software (Microsoft Word)

Exploring the interface: the keyboard, the mouse, and the word processing screen.

Enter, correct and format text (bold, italics, colours, alignment).

Write an official letter or a letter to loved ones.

Save, find your document on the computer, and print it.

Module 2: Daily Organization (Microsoft Excel)

Understanding the principle of tables and cells.

Create simple lists (address book, shopping list).

Create a tracking table for the monthly budget (expenses, income).

Use basic formulas (automatic sum) to have the computer calculate for you.

Module 3: The Arrival of Artificial Intelligence (Chatbots)

What is Artificial Intelligence (AI)? A simple explanation and demystification.

Discover virtual assistants (ChatGPT or Gemini): how to access them for free and securely.

The art of the "Prompt" (the query): how to ask the right questions to the machine to get the best answers.

Practical workshops with AI:

Ask him to draft a complex email.

Looking for recipe ideas using leftovers from the fridge.

Have him summarize a long newspaper article.

Organize a travel itinerary from A to Z.

Module 4: Safety and Best Practices

Recognizing reliable information in the face of AI "hallucinations" (errors).

The golden rules for protecting your personal data on the internet and in Office documents.

My Pedagogical Methodology
The approach is entirely personalized. I adapt to your learning pace. Each new concept is immediately followed by a practical, concrete exercise directly related to your everyday needs (writing to an administration, planning your vacation, etc.). Simplified course materials can be provided at the end of each session to help you review on your own.
Read more
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A- TOPICS YOU CAN EXPLORE AND MASTER:
1- PYTHON FOUNDATIONS
• Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming
• Lists, tuples, dictionaries, sets, comprehensions, debugging, and writing clear, reusable, well-structured code
• Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management

2 — PROGRAMMING, ALGORITHMS, AND COMPUTER SCIENCE FOUNDATIONS
• Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design
• Fundamental data structures including arrays, lists, stacks, queues, dictionaries/hash tables, sets, trees, graphs, and their appropriate use
• Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies
• Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges

3- DATA PREPARATION AND EXPLORATION
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• Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation
• Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation

4- MATHEMATICAL FOUNDATIONS
• Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics
• Loss functions, gradients, distance measures, regularization, likelihood, and model complexity
• Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms

5- SUPERVISED MACHINE LEARNING
• Linear and polynomial regression, logistic regression, and regularized models
• k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers
• Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results

6- UNSUPERVISED LEARNING
• Clustering using k-means, hierarchical clustering, and density-based methods
• Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery
• Method selection, evaluation of data structure, and interpretation of results without predefined labels

7- MODEL EVALUATION AND IMPROVEMENT
• Training, validation, and test sets; cross-validation; hyperparameter optimization
• Accuracy, precision, recall, specificity, F1 score, ROC–AUC, confusion matrices, MAE, MSE, RMSE, and R2
• Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization

8- DEEP LEARNING
• Neural-network foundations, activation functions, forward propagation, backpropagation, and gradient descent
• Multilayer perceptrons, convolutional neural networks, recurrent neural networks, and Transformer foundations
• TensorFlow, Keras, or PyTorch depending on the learner’s project and working environment

9- ARTIFICIAL INTELLIGENCE APPLICATIONS
• Natural language processing, text classification, embeddings, sentiment analysis, and foundations of language models
• Computer vision, image classification, fundamental principles of object detection, and image preprocessing
• Recommendation systems, forecasting, anomaly detection, intelligent automation, and decision-support applications

10- GENERATIVE AI AND LARGE LANGUAGE MODELS
• Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation
• Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant
• Reliability, hallucinations, bias, privacy, responsible use, and appropriate human validation

11- TOOLS AND LIBRARIES
• Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras, and PyTorch
• Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel, and Power BI when useful to the project
• Additional libraries may be introduced depending on the selected specialization and dataset

12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION
• Complete projects covering data preparation, model development, evaluation, interpretation, and presentation of results
• University assignments, dissertations, theses, research projects, portfolio projects, technical interviews, and professional applications
• Code review, debugging, documentation, reproducibility, model comparison, and communication of results

-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
B- PERSONALIZED TUTORING: LEARNING HOW TO REASON
Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected.

My lessons help you move beyond simply copying code or using models as “black boxes.” You will learn how to define the problem correctly, prepare the data, select an appropriate algorithm, understand how it works, train and evaluate the model, diagnose errors, improve performance, and interpret results rigorously and responsibly.

Each lesson is personalized according to your current level, mathematical background, programming experience, dataset, university work, research project, interview preparation, or professional objective. We begin by identifying your existing knowledge, software environment, expected outcomes, and main conceptual or technical difficulties. We then establish a structured learning plan.

The first lesson combines a discussion of your background, objectives, and tutoring needs; an initial assessment of your current knowledge; personalized planning and organization of future sessions; and a short trial lesson to determine the most effective learning approach.

A typical session may include conceptual explanation, development of mathematical intuition, live coding, guided implementation, model evaluation, technical problem solving, and a concise summary of the next steps.

You may work with your own dataset, university assignment, research project, or professional problem, provided that confidential information is handled appropriately. I can also provide structured examples and datasets suited to your level.

My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.
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I'm a working MEP engineer, currently building Python automation for Revit workflows daily - plan checks, model coordination, and repetitive drafting tasks. I teach other engineers, architects, and BIM professionals how to do the same, using pyRevit and real project workflows, not toy examples.

Topics include:
pyRevit fundamentals and setup
Automating repetitive Revit tasks (model checks, plan generation, data extraction)
Writing custom scripts for your firm's specific workflows
Applying Python automation to real MEP/BIM projects
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This would be a wonderful class where there is much fun and much laughter.

I would encourage all to be onboard and enjoy the swahili history which is richand entertaining.

The coastal people are so much kind hearted and so much welcoming to the rest of the world
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Learn how to build modern websites and mobile applications from scratch and develop the practical skills needed for real-world projects.

In this Frontend & Mobile Development course, I’ll guide you step by step through the technologies and tools commonly used by developers, including HTML, CSS, JavaScript, Angular, Git, GitHub, VS Code, and mobile application development.

You’ll learn how to create responsive and interactive websites, build structured applications with Angular, manage your code using Git and GitHub, and use VS Code efficiently for development. We’ll also explore how frontend technologies can be used to create mobile applications.

The course is suitable for beginners and intermediate learners. Lessons are practical and project-based, so you’ll learn by actually building websites and applications rather than only studying theory.

My goal is to help you understand how and why the code works, improve your problem-solving skills, learn professional development practices, and gain the confidence to create your own projects independently.

Lessons can be adapted to your experience level, learning pace, and personal or career goals.
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My classes are 100% online and are designed to help you lose weight, tone your body, and relieve stress while having fun.

I combine Zumba, aerobics, and strength training into dynamic, fun routines tailored to your fitness level. It's not just about lifting weights or repeating boring exercises: the idea is to keep you moving, enjoy every session, and work your entire body.

We train from home, without needing to go to a gym, with exercises you can do with little or no equipment.

My goal is for each workout to help you feel more energized, stay motivated, and progress toward your fitness goals in a fun and sustainable way.
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Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning.

This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied.

As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others.

I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly.

Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.
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► Overcome blockages, better understand the functioning of the other, integrate tools / techniques / methods / know-how / key phrases to approach and / or respond to the other, then start / build / maintain a relationship, all while leaving room for the essential spontaneity & naturalness

► These sessions will therefore combine two indivisible aspects:

➤ It's all about getting to know each other better (what you like or appreciate less about the other based on your past experience) by analyzing situations together in a thorough and pragmatic way. Indeed, this step is essential in order not to orient towards / "tackle" a pre-established model, but to adapt everything to everyone.

➤ In parallel, from the first session, and this is what naturally differs from a classic psychotherapy session: once the key points are better understood / assimilated, and the objectives gradually defined, tackle them, with scenarios concrete, based on your daily life / your experience, the art of seduction and the construction / possibly stabilization of love.

► These sessions could, for example, deal with how:

➤ Approach or respond to those we like then get into a relationship & build together, which implies self-confidence, avoiding the “friend zone”, taking action in one's sex life & rightly seized opportunities in his social circle.

➤ To be able to approach his interlocutor with finesse, while remaining positive, assertive & by communicating his desire, with a touch of subtlety & play

➤ Have original, light, funny & above all authentic conversations, using the emotional lift as a springboard

➤ Whether it is about “street approaches”, or in a professional or personal context, the objective being to no longer let the vagaries of fate take over & take one's life in hand by choosing action

► My mission: to help you understand, analyze then take action, while gaining self-confidence & acting in order to no longer be limited by your beliefs. Everyone should be able to take the time to choose the person they feel good with before rushing into a stable relationship.

► So, apprehension, shyness, missed opportunities, eternal “friend” status, fear of ridicule, rejection or emptiness? With this personalized coaching, the objective is to redirect the approach and acquire the technique, without ever leaving aside spontaneity. From the first contact, to the social network (tinder, bumble, social networks...) through the first meeting, until the finalization & sustainability, depending on your objective.

➤ It is about creating a certain number of opportunities with the people you like, approaching with confidence without being “friendzoned”, increasing the opportunities to meet people not without elegance / humor & seduction and without losing their authenticity

➤ The sessions will address preparation (gradually gaining confidence); the art of conversation; anti-friendzone appeal; actions and feedback to gain self-confidence (...).

➤ If the discretion and confidentiality of the coach are essential, it is therefore a matter of offering a tailor-made program / training, following an initial "diagnosis".

➤ Objective: regain confidence and attract his attention while making him want to see you again / maintain your existing relationship, understand the key elements of the other's psychology (...). As mentioned above, the practical exercises and scenarios allow to relay the theory.

➤ With simulations and scenarios, your seduction coach turns into a wingman to observe the implementation, suggest readjustments and showcase you

➤ Strengthen your charisma to unlock your potential for seduction

➤ Objective here again: to introduce concrete techniques / methods which make it possible to communicate easily, in a fluid, efficient and always natural way, while mastering situations.

➤ Non-verbal language, sexualization and avoidance of the friend zone, lifestyle, improvisation/repartee (...): the objective being to demystify these themes in theory and in practice.

Concretely, ONE SESSION = SOLUTIONS / proposals / concrete suggestions to put into practice for the following session in order to overcome its blockages.

Note that during the videoconference session, all the notes are transcribed in the chat so that you can access them at any time when you wish.

THE COACH
Trained in Grande Ecole post-preparatory classes & Ivy League University in the United States, our behavioral trainer teacher has specialized and worked for more than 18 years, in Europe and North America, in the field, in renowned international public and private establishments, regularly speaking in forums and conferences, and also offering personalized INDIVIDUAL support, with pedagogy and careful methodology as its watchwords, all anchored in a pleasant and jovial moment.

➤ PLACE, TIMETABLE, PRICES
✓ Locations: Geneva-Lausanne-Fribourg-Zurich-Neuchâtel-Lugano-Montreux-Basel-Neuchâtel-Bern-Lucerne-Brussels-Luxembourg-Paris-Lyon. But currently, these sessions continue to be offered by videoconference in the current context and in accordance with general demand which is almost unanimous on this subject.

✓ Indeed, apart from the classic advantages of videoconferencing (time saving related to travel & their unforeseen events, eco-responsibility, increased schedule flexibility, etc.), the quality of the session & the interaction remain identical. In addition, the entire exchange, notes and recommendations are immediately transcribed on the dedicated chat.

✓ To support us among ourselves & to be pleasant to you in this sustainable / particular period and in a spirit of solidarity, the fees are temporarily reduced and will not increase after the start of our sessions.

✓ Languages: French/English.

✓ The progress following these private sessions is perceptible from 1 to 2 sessions (*2024 study).

✓ As other people do regularly, you can also please your loved ones by offering gift vouchers available all year round.
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Don't settle for anything less than excellence.
I am an Aerospace Engineer with a Master's degree in Quantum Physics and have completed Ph.D. work at the University of Cambridge in Computational Physics. Additionally, I have 4 years of experience developing MATLAB and possess deep programming skills in MATLAB/Simulink family, C/C++, Fortran, and Python.

With over 12 years of tutoring experience, I have successfully guided more than 50 students worldwide to achieve distinction in various fields. Consistent results are my priority, and I strive for excellence in all aspects of my teaching.

My lessons are customized to meet each student's unique needs and are designed to be engaging and insightful.

Whether you are at a school level or require advanced or professional-level instruction, I offer support in the following areas:
- Preparation for IB/IA, A-Levels, GCSE, University Entry, or equivalent.
- Experience in preparing students to access world-class schools and universities, including Cambridge University, Oxford, Ivy League and other top institutions in the UK and US.
- University levels (undergraduate and postgraduate).
- High school studies and diploma programs.
- Assistance with specific projects at a professional level, including job interview preparation.
- Extensive experience working with children.

Every lesson is meticulously planned in advance to ensure that it aligns with your goals and targets areas for improvement.
I prioritize a dynamic and interactive learning experience, with one-on-one sessions tailored to your individual requirements. Lessons will be conducted via webcam, enabling you to connect from anywhere.

I have a highly flexible schedule and can adapt to accommodate your needs.
If you have any questions about my teaching method, availability, or pricing, please don't hesitate to reach out. I am here to assist you and provide the support you need.
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Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it?
This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio).
What we cover, adapted to your level and goals:
- Descriptive and inferential statistics (the ones that actually matter)
- Data cleaning, exploration, and visualization
- Regression, classification, and intro to machine learning
- Time series and forecasting basics
- R for statistical analysis and academic research

Who this is for:
- University students in statistics, economics, engineering, or biology
- Professionals wanting to move into data analysis or data science
- Researchers who need to process and present data properly

I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.
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👑 Greetings, Aspiring Chess Champions! 👑

I am thrilled to introduce myself as your dedicated chess instructor. My name is Prashil, and I come to you with a passion for chess that has led me to victory in numerous tournaments and earned me the esteemed title of an Internationally acclaimed chess player.

With a rating hovering 2000+ and the proud privilege of representing our country on the national stage, I'm excited to guide you on a chess journey like no other.

I, too, started as a budding chess player, facing the challenges and self-doubt that often accompany learning this intricate game. I understand firsthand the difficulties you might encounter, and that's precisely why I'm here—to turn you into a chess virtuoso.

🌟What You'll Gain Under My Tutelage 🌟

🔍 Chess from the Ground Up: We'll begin with the fundamentals, ensuring everyone understands the game's basics.

🚀 From Novice to Maestro: Whether you're taking your first steps or advancing your skills, I'll guide you on chess mastery.

🧩 Mastering the Chessboard: We'll delve into chess pieces, tackle puzzles, and develop tactics that will amaze your opponents.

🏰 Opening Moves: Uncover the secrets of various chess openings and traps, setting the stage for your future victories.

🧠 Game Memory: Learn to memorize games, a skill that will elevate your gameplay to new heights.

👁️ Blindfold Chess: For truly advanced players, I'll teach you the fascinating world of blindfolded chess, a mark of true chess expertise.

🤝 Tailored Instruction: I offer one-on-one and group lessons to meet your unique needs and preferences.

🕒 Flexible Timings: I understand that life has its demands. My classes are available in the morning, afternoon, and evening, making chess excellence convenient.

Are you ready to embark on this thrilling chess journey with me as your mentor? Prepare to learn the game and master it to become a renowned chess player!

Join my Chess Club today and make your move towards chess greatness. For enrollment or any class inquiries, feel free to reach out here. Your chess adventure begins here! 🌐
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Python is a powerful and versatile programming language with countless possibilities. You can use it for data analysis, image processing, automation, software development, hardware control, and much more.

Do you want to create your own software?
Work with data or images?
Automate repetitive tasks?
Control or manage your own hardware?

Whether you are just starting to learn Python or already have a specific project and need some guidance, I would be happy to help you.

My goal is to explain things clearly, adapt to your level, and help you understand not only how to make something work, but also why it works.

Let's turn your ideas into working Python projects!
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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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# **Master C/C++: Build the Foundation of Modern Software Development**

Unlock the power of one of the most influential programming languages in computing history! Whether you're an absolute beginner or looking to deepen your expertise, this comprehensive C/C++ course delivers structured learning from fundamentals to advanced concepts that power operating systems, game engines, and high-performance applications.

## **Why Choose This C/C++ Program?**

**Industry-Relevant Curriculum:** Learn expert guidance on the design of effective classes, functions, templates, and inheritance patterns that form the backbone of professional C++ development. Move beyond basic syntax to understand how to write clean, efficient, and maintainable code that stands the test of time.

**Templates & Generic Programming Mastery:** Go beyond introductory material with in-depth coverage of templates—the cornerstone of modern C++—enabling you to create robust, reusable code components that work across multiple data types. Discover how function templates, class templates, and variadic templates work to maximize your coding efficiency.

**Practical, Hands-On Approach:** This isn't just theory! You'll build real-world projects that demonstrate memory management, object-oriented programming, and system-level programming techniques used in today's technology landscape.

## **Your Learning Journey**

Our structured path takes you from writing your first "Hello World" program through advanced template metaprogramming, with special attention to modern C++ standards (up to C++20). You'll gain the confidence to tackle complex programming challenges and understand the "why" behind effective C++ practices—not just the "how."

## **Transform Your Career Today**

C/C++ skills remain in high demand across industries from finance to gaming to IoT. By mastering these foundational languages, you'll develop problem-solving abilities that translate to any programming environment.
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This online Mat Pilates class is designed to help participants build strong core muscles, improve posture, and develop better body balance through structured, low-impact exercises.

The course focuses on controlled movement, proper alignment, and mindful breathing to support the spine, strengthen the abdominal and back muscles, and enhance overall mobility. Each session is taught step-by-step, making it accessible for beginners while still effective for those with prior experience.

You will learn how to:
Activate and strengthen deep core muscles
Improve posture and spinal alignment
Increase flexibility and joint mobility
Develop balance, coordination, and body awareness
Move safely and efficiently in daily activities

Classes are mat-based and require no equipment, making them ideal for home practice. Modifications and clear verbal cues are provided to support different fitness levels and physical needs.

This class is suitable for individuals looking for a safe, effective, and sustainable fitness practice that supports long-term strength, stability, and overall well-being.
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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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A- TOPICS YOU CAN EXPLORE AND MASTER:
1- PYTHON FOUNDATIONS
• Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming
• Lists, tuples, dictionaries, sets, comprehensions, debugging, and writing clear, reusable, well-structured code
• Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management

2 — PROGRAMMING, ALGORITHMS, AND COMPUTER SCIENCE FOUNDATIONS
• Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design
• Fundamental data structures including arrays, lists, stacks, queues, dictionaries/hash tables, sets, trees, graphs, and their appropriate use
• Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies
• Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges

3- DATA PREPARATION AND EXPLORATION
• NumPy and pandas for importing, cleaning, transforming, filtering, grouping, reshaping, and merging data
• Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation
• Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation

4- MATHEMATICAL FOUNDATIONS
• Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics
• Loss functions, gradients, distance measures, regularization, likelihood, and model complexity
• Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms

5- SUPERVISED MACHINE LEARNING
• Linear and polynomial regression, logistic regression, and regularized models
• k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers
• Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results

6- UNSUPERVISED LEARNING
• Clustering using k-means, hierarchical clustering, and density-based methods
• Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery
• Method selection, evaluation of data structure, and interpretation of results without predefined labels

7- MODEL EVALUATION AND IMPROVEMENT
• Training, validation, and test sets; cross-validation; hyperparameter optimization
• Accuracy, precision, recall, specificity, F1 score, ROC–AUC, confusion matrices, MAE, MSE, RMSE, and R2
• Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization

8- DEEP LEARNING
• Neural-network foundations, activation functions, forward propagation, backpropagation, and gradient descent
• Multilayer perceptrons, convolutional neural networks, recurrent neural networks, and Transformer foundations
• TensorFlow, Keras, or PyTorch depending on the learner’s project and working environment

9- ARTIFICIAL INTELLIGENCE APPLICATIONS
• Natural language processing, text classification, embeddings, sentiment analysis, and foundations of language models
• Computer vision, image classification, fundamental principles of object detection, and image preprocessing
• Recommendation systems, forecasting, anomaly detection, intelligent automation, and decision-support applications

10- GENERATIVE AI AND LARGE LANGUAGE MODELS
• Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation
• Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant
• Reliability, hallucinations, bias, privacy, responsible use, and appropriate human validation

11- TOOLS AND LIBRARIES
• Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras, and PyTorch
• Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel, and Power BI when useful to the project
• Additional libraries may be introduced depending on the selected specialization and dataset

12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION
• Complete projects covering data preparation, model development, evaluation, interpretation, and presentation of results
• University assignments, dissertations, theses, research projects, portfolio projects, technical interviews, and professional applications
• Code review, debugging, documentation, reproducibility, model comparison, and communication of results

-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
B- PERSONALIZED TUTORING: LEARNING HOW TO REASON
Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected.

My lessons help you move beyond simply copying code or using models as “black boxes.” You will learn how to define the problem correctly, prepare the data, select an appropriate algorithm, understand how it works, train and evaluate the model, diagnose errors, improve performance, and interpret results rigorously and responsibly.

Each lesson is personalized according to your current level, mathematical background, programming experience, dataset, university work, research project, interview preparation, or professional objective. We begin by identifying your existing knowledge, software environment, expected outcomes, and main conceptual or technical difficulties. We then establish a structured learning plan.

The first lesson combines a discussion of your background, objectives, and tutoring needs; an initial assessment of your current knowledge; personalized planning and organization of future sessions; and a short trial lesson to determine the most effective learning approach.

A typical session may include conceptual explanation, development of mathematical intuition, live coding, guided implementation, model evaluation, technical problem solving, and a concise summary of the next steps.

You may work with your own dataset, university assignment, research project, or professional problem, provided that confidential information is handled appropriately. I can also provide structured examples and datasets suited to your level.

My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.
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I'm a working MEP engineer, currently building Python automation for Revit workflows daily - plan checks, model coordination, and repetitive drafting tasks. I teach other engineers, architects, and BIM professionals how to do the same, using pyRevit and real project workflows, not toy examples.

Topics include:
pyRevit fundamentals and setup
Automating repetitive Revit tasks (model checks, plan generation, data extraction)
Writing custom scripts for your firm's specific workflows
Applying Python automation to real MEP/BIM projects
verified badge
This would be a wonderful class where there is much fun and much laughter.

I would encourage all to be onboard and enjoy the swahili history which is richand entertaining.

The coastal people are so much kind hearted and so much welcoming to the rest of the world
verified badge
Learn how to build modern websites and mobile applications from scratch and develop the practical skills needed for real-world projects.

In this Frontend & Mobile Development course, I’ll guide you step by step through the technologies and tools commonly used by developers, including HTML, CSS, JavaScript, Angular, Git, GitHub, VS Code, and mobile application development.

You’ll learn how to create responsive and interactive websites, build structured applications with Angular, manage your code using Git and GitHub, and use VS Code efficiently for development. We’ll also explore how frontend technologies can be used to create mobile applications.

The course is suitable for beginners and intermediate learners. Lessons are practical and project-based, so you’ll learn by actually building websites and applications rather than only studying theory.

My goal is to help you understand how and why the code works, improve your problem-solving skills, learn professional development practices, and gain the confidence to create your own projects independently.

Lessons can be adapted to your experience level, learning pace, and personal or career goals.
verified badge
My classes are 100% online and are designed to help you lose weight, tone your body, and relieve stress while having fun.

I combine Zumba, aerobics, and strength training into dynamic, fun routines tailored to your fitness level. It's not just about lifting weights or repeating boring exercises: the idea is to keep you moving, enjoy every session, and work your entire body.

We train from home, without needing to go to a gym, with exercises you can do with little or no equipment.

My goal is for each workout to help you feel more energized, stay motivated, and progress toward your fitness goals in a fun and sustainable way.
Good-fit Instructor Guarantee
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