Web development course - beginner or support/coaching

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From 40 £ /h

I propose to support any student interested in learning web development with a "learning by doing" methodology inspired in particular by the 42 programming school. No prior knowledge is necessary, only motivation (there is a lot things to learn!)

You will learn :
- HTML, the language that describes what elements are present on a web page
- CSS, which allows you to specify the appearance of the elements present
- JavaScript (browser side): a programming language to make our page interactive
- server-side JavaScript with Node.js: how to program a server that will respond to visitor requests

I will emphasize the fundamental developer tools: the command line, git, and text editors, as well as good practices for writing readable code.

I will provide progressive exercises, then we can quickly think together about a concrete website project of your choice, according to your interests, which we can develop together. I will be your tutor throughout your progress and progress.

Location

Online from France

About Me

Humanist and liberal (that just means that I think that everyone's individual freedom is fundamental, and too bad if some people see that as a dirty word!), I like to learn, but also to transmit knowledge, as well as great ideas :).

I am lucky enough to be able to work remotely full-time, I currently live in Prague. I love discovering new horizons, I like the freedom and flexibility of remote work, but I miss the human side. Being a mentor or tutor is just perfect to keep this human contact!

Education

Following a research master's degree in cognitive sciences, I trained in programming at the 42 school in Paris, a school (and street art museum!) without teachers or classes, with a pedagogy based on projects and mutual aid between students.

Experience / Qualifications

I have five years of experience as a professional web developer, I am now a web developer in JavaScript and Elixir for a software that supports training organizations. I have also been supporting learners in web development as a mentor since the end of 2022.
In 2019, I taught web development courses at the university for a semester, a very enriching experience that I would be happy to repeat!

Age

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

The class is taught in

English

French

Skills

Computer programming

Web development

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Youssef

4.85

(13)

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

Matías

4.85

(13)

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.

Hamza

4.85

(13)

I hold a PhD in Mathematical Physics (Theoretical Physics), and I specialize in providing educational support lessons in physics and mathematics. I provide my services to high school and university students, and I have the ability to teach in French, Arabic, and English.

Thanks to my eight years of experience in providing private lessons, I have developed a flexible teaching methodology that adapts to the needs of each individual student. With my experience of more than six years as a professor within the French Mission Program, I have mastered the requirements of this educational system and its special methods. My experience in the field of entrance examinations for graduate schools constitutes an additional advantage for students wishing to continue their studies in prestigious educational institutions.

My passion for physics and mathematics and my strong academic background enable me to explain complex concepts in a clear and understandable way. My goal is to develop students' understanding academically and build their self-confidence, helping them reach their full potential.

I am committed to providing high-quality education, tailored to each student's pace and learning styles, and I strongly believe that every student can excel with the right guidance and support.

Adam

4.85

(13)

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

Gaëlle

4.85

(13)

While adults are still debating whether kids should use AI, they are already using it.
The question isn't "should they?" it's "how do we do it intelligently?"

In this course, your child will discover:
✓ What AI actually is: not magic, not mystery. How machines think, what they can do, what they can't
✓ How ChatGPT really works: not just "ask a question and get an answer," but why it responds that way, where it fails, when to trust it
✓ What LLMs are (Large Language Models): in language they understand, not tech jargon
✓ Create with AI: custom avatars, interactive stories, real projects using real tools
✓ Think critically about AI: Bias, privacy, creativity. What does AI do better than humans? What can't it do?
✓ Real-world applications: How AI transforms medicine, education, art, gaming, everyday life

Why this is different:
Most AI courses for kids teach "here's the tool, use it." I teach how to think about AI.
Your child will learn to see AI not as black magic or a solution to everything, but as a powerful tool with real limits.
And, more importantly: that they can control how they use it.

What they take home:
Real projects they created (custom avatar, interactive app, analysis of a real AI case study). A genuine understanding of how it works. And the ability to use AI responsibly and creatively.

Format: Online | 60–90 min sessions | Flexible, adapted to their age and pace

For curious kids asking "How does ChatGPT actually know things?"

Giuliano

4.85

(13)

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!

Salah

4.85

(13)

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.

Farouk

4.85

(13)

These courses are part of a practical and accessible introductory training course in web development 🌐💻, designed for those who want to learn how to create a website from A to Z.
Using fundamental web technologies—HTML 🧱, CSS 🎨, and JavaScript ⚙️—you'll learn how to structure pages, style them, and make them interactive.

My teaching approach is hands-on: each concept is accompanied by concrete examples and progressive exercises to consolidate your knowledge. You'll discover how to build a responsive interface 📱💡, manage user events 🖱️, and apply simple animations ✨ to improve the user experience.

Whether you are a beginner or looking to consolidate your foundations, this training will guide you step by step towards autonomy in creating your own web projects 🚀

Training plan in 10 modules:

1. Introduction to programming 🧠💡
Understand the basics: logic, Linux commands, simple instructions and algorithms.

2. Introduction to HTML 🧱📄
Structure of a web page, main tags, links, images, tables, forms.

3. Accessibility and SEO ♿🔍
Create inclusive and well-referenced sites: semantic tags, ARIA attributes, good SEO practices.

4. Introduction to CSS 🎨🖌️
Formatting, colors, typography, boxes, flexbox and responsive layout.

5. Git & GitHub 🗂️⚙️
Version your code and collaborate effectively: Git commands, creating repositories, push/pull, pull requests.

6. JavaScript - Data Types 🔢📝
Numbers, strings, booleans, objects, arrays... Learn to manipulate data.

7. JavaScript - Functions and Methods ⚙️🧩
Define and call functions, understand scope, use native methods.

8. JavaScript - Terms ❓🔁
Master the if, else, switch statements to handle specific cases.

9. JavaScript - Arrays and Loops 🔄📊
Iterate efficiently with for, while, forEach, manipulate arrays like a pro.

10. DOM Manipulation & Closures 🌐✨
Edit HTML/CSS from JS, add events, understand closures for advanced interactions.

Mariem

4.85

(13)

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.

Wissem

4.85

(13)

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

Ammar

4.85

(13)

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.

Baia

4.85

(13)

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

Khalil

4.85

(13)

Learn Python by building something you’ll actually use

Ever wanted to code but had no idea where to begin? You’re in the right place. In these relaxed, one-on-one lessons, you’ll go from zero to writing real programs, with no experience required.

Together, we’ll choose a project that fits your interests. Maybe it’s a video game you want to build or a quiz to challenge your friends, a chart built from your own spreadsheet, or a script that takes over a boring, repetitive task. Along the way, you’ll pick up the essentials (variables, loops, functions) and learn to read error messages without panic, so you can change your code with confidence.

Where you can go next

AI-assisted coding: Use tools like ChatGPT to brainstorm, decode errors, and improve your code, while learning to test its suggestions and explain how the final result works.
Machine learning: Train a simple model on a real dataset and see how well it predicts.
Your own project: Bring an idea from school, work, or a hobby, and we’ll break it into steps you can build at your own pace.

Your instructor

I’m an engineer with a master’s degree from Nagoya University and research experience in applied AI and computer vision. I explain every concept in plain language, then give you time to try it yourself with live feedback, so you’re never stuck alone.

Ready to start?

Send me a quick message and let's do your first coding project together.

Hugo

4.85

(13)

Is your code not doing what you want it to? Are you learning Python but just copying and pasting without really understanding?

Loops, functions, algorithms, data structures... Behind these intimidating concepts lie simple, visual ideas. My goal: to help you understand them, not just apply them.

These tools may seem difficult at first, but they make perfect sense once you visualize them in practice: seeing a loop run, a variable change, a list fill up. That’s the level I’d like to help you reach, using diagrams, analogies, and programs we’ll build together, line by line.

I offer computer science lessons (Python and other languages), from middle school through college, to help you:
- overcome obstacles and regain confidence,
- prepare for your exams (Brevet, Baccalaureate, midterms, entrance exams, NSI),
- make progress on your projects: lab assignments, scripts, games, digital projects...

Each lesson is tailored to your needs: we’ll go over the tricky parts, code together, and I’ll teach you methods to become self-sufficient.

Message me to schedule your first lesson: let’s make the abstract clear!

George

4.85

(13)

**Learn Programming, Python, Artificial Intelligence & Data Analysis with Practical Projects!**

Are you looking to learn programming from scratch, improve your coding skills, or prepare for a future career in technology?

I'm George Zakary, a Computer and Data Science graduate from Alexandria University and a programming instructor with hands-on teaching experience in Python, Data Analysis, Cybersecurity, and Backend Development.

I offer personalized, interactive online lessons for students across Saudi Arabia, the UAE, Kuwait, Qatar, and other Gulf countries.

**What can you learn with me?**

- **Python Programming:** From basic concepts to functions, loops, data structures, and Object-Oriented Programming (OOP).
- **Artificial Intelligence:** Introduction to AI, Machine Learning fundamentals, and practical applications.
- **Data Analysis:** Learn to work with data using Python, Pandas, and practical examples.
- **AI Automation:** Explore automation concepts and tools such as n8n.
- **Backend Development:** Build web applications using Python and Flask.
- **Cybersecurity Fundamentals:** Understand essential security concepts and safe computing practices.

**Why choose my lessons?**

My teaching approach focuses on simplifying complex technical concepts through real-world examples, live coding, practical exercises, and hands-on projects.

Every lesson is adapted to your age, experience, learning pace, and personal goals.

Whether you are a complete beginner, a school or university student, or a professional looking to develop new technical skills, I will help you learn step by step.

**Lessons are available in Arabic or English, with clear explanations tailored to Arabic-speaking students.**

**للطلاب في السعودية والإمارات والكويت وقطر وجميع دول الخليج:**

أقدم دروس برمجة أونلاين باللغة العربية بأسلوب بسيط وعملي، سواء كنت مبتدئًا تمامًا أو ترغب في تطوير مستواك.

سنتعلم خطوة بخطوة من خلال التطبيق العملي والمشاريع الحقيقية، مع خطة تعليمية تناسب مستواك وهدفك.

**Start your programming journey today!**