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Since February 2026
Instructor since February 2026
Translated by GoogleSee original
Web page development - SPA (Single Page Application) - Websites with HTML, CSS, Bootstrap; Sass.
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From 45 C$ /h
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Want to learn how to build real websites and web applications from scratch, even if you have no prior experience? 💻✨
You can choose from classes on specific topics or the complete Web Development Course. You'll learn, in a practical and progressive way, the skills needed to create responsive web pages and websites (for viewing on mobile devices or all types of screens), regardless of your academic level or age. Teenagers, young adults, adults; anyone can learn, all you need is the desire! I am a frontend developer and psychomotor therapist with over 20 years of experience in teaching and learning processes, focusing on the individual needs of each learner.
Extra information
All you need is a good internet connection.
Location
location type icon
Online from Argentina
About Me
I am a teacher focused on meaningful learning, with a personalized, inclusive, and practical approach that integrates technical foundations with a human perspective on the learning process. My work is based on understanding how each person learns, respecting individual paces, learning paths, and contexts, and adapting content and methodologies to the needs of the group.

I specialize in teaching from the ground up, building genuine understanding rather than rote memorization. I prioritize students understanding the "why" and "what for" of each concept, fostering autonomy, critical thinking, and the confidence to continue learning independently.

My approach and teaching methods
- Progressive and structured teaching: the contents are presented gradually, connecting each class with the previous one, avoiding conceptual leaps.
- Active learning: the classes combine clear explanation, concrete examples and guided practice.
- Curriculum adaptation: I adjust the pace, language, and strategies according to the group and each student.
- Personalized support: I observe difficulties, reinforce key concepts and propose different ways of addressing them.
- Technology integration: I use digital tools as a support for learning, not as an end in itself.
- Climate of trust: I promote a space where asking questions, making mistakes, and trying again are a natural part of the process.

My experience in educational and health contexts allows me to work with heterogeneous groups, with different levels of prior knowledge, promoting processes of inclusion and real participation.

Course description (10 classes)
- This course is designed as a training program consisting of 10 classes, in which students will acquire the fundamental bases of the discipline, understanding the essential concepts and developing the necessary skills to then continue with a more advanced improvement process.
- At the end of the course, the student will:
- You will understand the theoretical and practical foundations.
- You will be able to apply what you have learned in specific exercises and situations.
It will provide a solid and organized foundation for further independent study or in subsequent training.
- You will have developed judgment, basic technical language and confidence to advance to the next level.

The goal is not to "know everything," but to learn the basics well, understanding the key concepts and building a clear path for growth.
Education
Psychomotor therapist and Professor of Psychomotor Skills - UPC
Full Stack Developer | Frontend React | Backend with Nodejs | CoderHouse Institute
Java backend, Globant & Egg
Mobile Developer with React Native | Coderhouse
Business Analytics | coderhouse
University Technical Degree in Application Development | IUA
Experience / Qualifications
More than 20 years of experience advising on teaching and learning processes in different institutions and, at an individual level, making curricular adaptations according to the possibilities and abilities of each student.
Development of websites, administrative systems and mobile apps for multiple clients and sectors in recent years.
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
Spanish
English
Availability of a typical week
(GMT -05:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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➤ Follow-up via videoconference: notes and recommendations accessible at all times via chat.

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➤ THE TRAINER/CONSULTANT
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✓ Languages: French / English.

➤ 90% of the people supported achieved their professional goals (2025 study).

✓ Special offers: gift vouchers available all year round – an original and useful way to please your loved ones.

✓ Schedules to be defined together, adjusting as best as possible to your constraints.

✓ 100% tailor-made program, adapted to each need.

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-Because you benefit from international expertise at the service of your objectives.
-Because each session is personalized and you will leave with concrete tools.
-Because the approach is not theoretical: it is lively, interactive and results-oriented.
-Because you benefit from a motivating, supportive and stimulating environment, which promotes confidence and rapid progress.
-Because in just a few sessions, you will already notice a tangible difference.
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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 ⚛️.

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🎯 Training Objectives

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

Understanding what Object-Oriented Programming really is (and when to use it)
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Avoiding common mistakes made by OOP beginners
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📖 Training Plan – Object-Oriented Programming in JavaScript
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Understanding the concept, objectives and benefits of OOP.
2. Procedural Programming vs. OOP
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Understanding the execution context (often poorly understood).
5. Limitations of simple objects
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6. Constructive functions
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7. The keyword new
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8. The prototype
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13. The keyword super
Communication between parent and child in the classroom.
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The same behavior, several forms.
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Choosing the right architecture.
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Pitfalls to absolutely avoid.
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19. Assessment Quiz (Multiple Choice Questions)
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Simple but effective exercises
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🚀 Learner's result

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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.

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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.

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# Class Title
**Information Technology & Web Development – From Fundamentals to Real-World Projects**

# Class Description
Explore the world of Information Technology and Web Development through practical, beginner-friendly lessons designed to build real technical skills.

This class introduces students to essential IT concepts, programming fundamentals, web technologies, and the process of creating modern websites and applications.

Topics include:
- **IT Fundamentals:** Computer systems, operating systems, networks, and troubleshooting.
- **Programming Fundamentals:** Problem-solving, logical thinking, algorithms, and coding principles.
- **Web Development:** HTML, CSS, JavaScript, and responsive website development.
- **Backend Development:** Introduction to servers, APIs, databases, and application logic.
- **Practical Projects:** Build websites and small applications while learning how real software is developed.
- **Technology & Career Skills:** Development tools, debugging, version control, and good programming practices.

Whether you're completely new to technology or looking to strengthen your existing skills, the goal is to make complex concepts easier to understand through clear explanations, hands-on exercises, and practical examples.

**My teaching approach:** Learn by understanding, practice by building, and improve by solving real problems.
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Most kids think coding is for "smart kids" or "future programmers."
It's not. Coding is how real people solve real problems.
In this class, we skip the theory. Your child creates real things.

What they'll do:
✓ Build real projects in Scratch: a working game, an interactive animation, a story they coded
✓ Program virtual robots: solve real-world challenges (navigate a maze, automate a task, build a system)
✓ Create in Minecraft Education: design worlds, automate constructions, solve logic problems
✓ Experiment with different languages: not just learn "the right way," but understand that there are many ways to think about a problem
✓ Collaborate and share: work with other kids, get feedback, improve their work
✓ Develop logical thinking: not just for coding, but for anything: solving math problems, science challenges, real-world situations


Why this is different:
We don't teach syntax. We teach how programmers think.
Most children's coding courses say "here's the code, copy it." We teach "what problem are we trying to solve? How could we break it into steps? What options do we have?"
When your child learns to think like a programmer, they can learn any language afterward.

What they take home:
A portfolio of 3–4 completed, working projects. The ability to say "I built this." And the deep understanding that code is a tool to make real things happen.

Format: Online or Barcelona | 60–90 min sessions | Flexible pace, no prior experience needed
For curious 8-12 year olds who want to build.
verified badge
Engineer and senior professor of engineering sciences provides support courses in analog and digital electronics at all levels, engineering schools. having a scientific and technical knowledge, five years of experience in the field of teaching, teaching and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they have difficulties. for more info please contact me
verified badge
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.
verified badge
Adapted to each case and need, the objective is support in accessing a job, from the search for departure to the signing of the contract:
- After the search and selection of relevant advertisements, establish and illustrate your transversal skills profile then create an attractive CV and write a striking cover letter highlighting your professional background
- stand out in the preparation of their interviews, from oral presentation to expression through appropriate body language. Interview simulation & video analysis filmed if necessary.
- Identify your values, promote your professional project / your assets and strengths but also work on areas for improvement in order to find new momentum in your career.

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.

Statistically, the progression following these private sessions is quickly noticeable, from 2 sessions. (study 2020)

PLACES :
- Locations: Geneva - Lausanne - Friborg - Neuchâtel - Montreux - Basel - Sion - Sierre - Morges - Bienne.

But currently and until further notice, only by videoconference in accordance with national recommendations on Covid. These sessions also seem perfectly unanimous since they have the advantages of direct (example: quality of the interaction), without its disadvantages (example: loss of travel time) with additional advantages (example: chat notes that can be read later).
In this context, these videoconference sessions for which you have requested me, seem to suit everyone perfectly, take place in a very optimal way and generate a certain enthusiasm (and a certain enthusiasm). That is why, at your request, I continue to offer this option. Take good care of yourself and yours.

Trained in Grande Ecole post-preparatory classes & Ivy League university in the United States, specialized and has been working for more than 13 years, in Europe and North America, in the field of communication and public speaking, in renowned international public and private institutions, intervening in forums and conferences, and oriented towards pedagogy and careful methodology.

PROGRAM
A la carte program: assessed and adapted to each need
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doctoral student in engineering sciences provides support courses in analog and digital electronics at any DEUG level and engineering schools. having scientific and technical knowledge, three years of experience in the field of teaching, pedagogy and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they are having difficulty. for more info please contact me
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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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Are you looking for personalized support to succeed in mathematics, physics or computer science? Whether you are a middle school, high school, university student or simply curious to learn, this multidisciplinary program is for you!

💡 Why Choose this Program?
This course offers comprehensive, tailored support to help you:

Strengthen your foundations and fill in your gaps.
Understand theoretical concepts in depth.
Master problem-solving methods.
Develop your computer skills, from introductory to advanced programming.
Prepare effectively for your exams and competitions.
With a human, motivating and caring approach, you will learn at your own pace in a calm and encouraging environment, without pressure or judgment.

📘 Mathematics – For All Levels
Mathematics may seem complex and abstract, but with the right method and clear explanations, it becomes logical and accessible.
This module covers:

Middle school level: Arithmetic, fractions, proportions, basic geometry, statistics.
High school level: Algebra, functions, equations, analytical geometry, probabilities.
Preparation for exams: Brevet, Bac, entrance exams for grandes écoles.
Advanced Mathematics: Differential and integral calculus, matrices, sequences and series for university level.
🔬 Physics – From Understanding to Application
Physics allows us to understand the world around us, from the laws of motion to electromagnetic phenomena.
This module will guide you through:

Middle and high school level: Mechanics, electricity, optics, thermodynamics.
University Level: Analytical mechanics, advanced electromagnetism, quantum physics, statistical thermodynamics.
Scientific Methodology: Knowing how to analyze a problem, formulate a hypothesis, apply physical laws and interpret the results.
Practical Applications: Virtual experiences, interactive simulations to better understand theoretical concepts.
💻 Computer Science – From Basics to Advanced Skills
In an increasingly digital world, mastering IT is essential. This module adapts to your level and your objectives:

Introduction to Computers: Understand how a computer works, use office software (Word, Excel, PowerPoint).
Programming Beginner: Learn to code in Python, JavaScript or C/C++ with clear explanations and practical exercises.
Advanced Programming: Optimized algorithms, complex data structures, object-oriented programming.
Project Development: Creation of web applications, automated scripts, simple video games.
Preparation for NSI Exams: Complete support to pass the Digital and Computer Science tests.
🎯 Interactive and Motivating Teaching
Dynamic Online Course: Learn from home with an interactive format using audio and screen sharing.
Method Adapted to Your Pace: Each course is designed according to your level and your objectives.
Practical Exercises and Concrete Projects: To apply theoretical concepts and learn while having fun.
Personalized Monitoring: Regular support to monitor your progress and adapt the program to your needs.
Encouragement and Motivation: A positive approach to building your confidence in your abilities.
🔔 For Who?
This program is aimed at:

Middle school and high school students wishing to strengthen their foundations or aim for excellence.
University students in science or computer science looking to deepen their knowledge.
Candidates for exams and competitions preparing for the Brevet, the Bac, or entrance exams to the grandes écoles.
Passionate self-taught people who want to learn to program or better understand the scientific world.
Adults in professional retraining wishing to acquire IT skills.
🚀 Ready to Succeed?
Join the "🎓 Multidisciplinary Program – 📘 Mathematics, 🔬 Physics & 💻 Computer Science for All Levels!" and benefit from personalized support to achieve your goals. Whether you want to improve your grades, pass your exams or develop programming skills, this program will give you knowledge, confidence and motivation.

Register today and take the first step towards success!
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Understanding algorithms is essential for anyone pursuing computer science or programming. In this course, I provide a structured approach to learning algorithms—from fundamental concepts like sorting and searching to advanced techniques such as dynamic programming and graph theory. Whether you're preparing for exams, coding interviews, or aiming to improve your problem-solving skills, this course is designed to build strong algorithmic thinking. Through practical examples and step-by-step explanations, I help students master the logic and techniques needed to write efficient and elegant code.
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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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Objective: to access the job that suits you, from searching for job postings to signing the contract.

➤ Highlight your profile: identification of transferable skills, creation of a well-presented and attractive CV (in form as well as content) and a compelling cover letter.

➤ Shine in interviews and stand out (in both content and form): live filmed simulations analyzed to progress quickly (oral expression, body language, quick wit...).

➤ (Re)find momentum: identify your values, strengths and areas for improvement to build a clear and motivating professional project and draw new momentum from your career.

➤ Follow-up via videoconference: notes and recommendations accessible at all times via chat.

➤ After a few sessions, you will feel confident and comfortable with your job search (sending strong applications, interviews, etc.), which will seem natural and familiar. Concrete results: noticeable progress after just 2 sessions (2026 study).

➤ THE TRAINER/CONSULTANT
A graduate of a prestigious French business school and an Ivy League university in the United States, and a former Human Resources Director, he combines academic rigor with modern teaching methods. With over 18 years of experience in Europe and North America, he has taught at prestigious international institutions (both public and private), and regularly speaks in Switzerland, France, Belgium, Luxembourg, and Canada, as well as at various forums and conferences.

A recognized specialist, he offers personalized and accessible support based on active listening, a proven methodology, and tailored teaching methods. Whether through one-on-one sessions, workshops, or group training, his approach combines customization, efficiency, and professionalism for rapid, visible results.

➤ LOCATIONS, TIMES

✓ Areas of intervention:
-Switzerland (Geneva, Lausanne, Fribourg, Zurich, Neuchâtel, Lugano, Basel, Bern, Lucerne)
-Belgium (Brussels, Antwerp, Charleroi, Liège)
-Luxembourg
-On request: France (Paris, Lyon) and Canada (Montreal)

✓ Currently: sessions are primarily conducted via videoconference – a format favored by almost all participants, as it combines the same high-quality interaction with great organizational flexibility. All content, notes, and recommendations are provided directly through the dedicated chat. Advantages: time savings (no travel), flexible scheduling, comfort, and eco-responsibility.

✓ Languages: French / English.

➤ 90% of the people supported achieved their professional goals (2025 study).

✓ Special offers: gift vouchers available all year round – an original and useful way to please your loved ones.

✓ Schedules to be defined together, adjusting as best as possible to your constraints.

✓ 100% tailor-made program, adapted to each need.

✓ Why choose this training?
-Because you benefit from international expertise at the service of your objectives.
-Because each session is personalized and you will leave with concrete tools.
-Because the approach is not theoretical: it is lively, interactive and results-oriented.
-Because you benefit from a motivating, supportive and stimulating environment, which promotes confidence and rapid progress.
-Because in just a few sessions, you will already notice a tangible difference.
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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

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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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Learn Practical English for Your Career and Travels! 🌍💼

Do you want to speak English more confidently at work, during job interviews, or while traveling abroad? My classes are designed to help you use English naturally in real-life situations, so you can communicate with confidence wherever life takes you.

Together, we will practice everyday conversations, workplace communication, professional introductions, job interviews, meetings, and travel situations such as booking hotels, ordering food, asking for directions, and talking to people from different cultures.

My lessons are practical, interactive, and tailored to your goals, interests, and English level. You don't have to worry about making mistakes because every mistake is an opportunity to learn and improve. Whether you're a beginner or someone who wants to polish your English, I will guide you at your own pace in a supportive and comfortable learning environment.

Let's turn your English skills into real-life opportunities! Join my class and take the next step toward career growth, exciting travel experiences, and confident communication in English.
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# Class Title
**Information Technology & Web Development – From Fundamentals to Real-World Projects**

# Class Description
Explore the world of Information Technology and Web Development through practical, beginner-friendly lessons designed to build real technical skills.

This class introduces students to essential IT concepts, programming fundamentals, web technologies, and the process of creating modern websites and applications.

Topics include:
- **IT Fundamentals:** Computer systems, operating systems, networks, and troubleshooting.
- **Programming Fundamentals:** Problem-solving, logical thinking, algorithms, and coding principles.
- **Web Development:** HTML, CSS, JavaScript, and responsive website development.
- **Backend Development:** Introduction to servers, APIs, databases, and application logic.
- **Practical Projects:** Build websites and small applications while learning how real software is developed.
- **Technology & Career Skills:** Development tools, debugging, version control, and good programming practices.

Whether you're completely new to technology or looking to strengthen your existing skills, the goal is to make complex concepts easier to understand through clear explanations, hands-on exercises, and practical examples.

**My teaching approach:** Learn by understanding, practice by building, and improve by solving real problems.
Good-fit Instructor Guarantee
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