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Since July 2017
Instructor since July 2017
Build Real Things: Programming & Robotics for Kids (8-12 years, EN/ES/FR)
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From 90 € /h
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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.
Extra information
No previous coding experience needed just curiosity and willingness to create
Internet access and ability to use Scratch, Minecraft Education, or virtual robots
Bring a notebook to document ideas and projects
You're expected to experiment, ask questions, and try new things
Mistakes and errors are part of learning (real programmers debug constantly)
Location
location type icon
Online from Portugal
About Me
The world changed faster than schools did.
I'm Gaëlle. I design and teach transformative learning experiences for children since 2016. With 1,000+ students across France, Spain, Portugal, and the United States, I've learned one thing: children learn best when they own their learning.
Not passively. Not from worksheets. But through real projects, real tools, and real questions.
I'm trained in civil engineering, certified as a family coach, and an educator trainer specializing in emerging technologies (AI, blockchain, VR/AR) — not because they're trendy, but because they help kids think differently about real problems.
Every child I work with leaves with:

Real projects they've created
Renewed confidence in their ability to learn
Modern tools they can use immediately

I work with children ages 5–17 who are curious, honest, and ready to think differently.

🇬🇧 English (fluent, professional) | 🇪🇸 Spanish (fluent, professional) | 🇫🇷 French (native)
Education
Civil Engineering Degree
INSA Rennes (Institut National des Sciences Appliquées), France (2013)
Specialization: Data analysis, object-oriented programming

Family Coach Training
Human University, Barcelona, Spain (2016)
Specialization: Supporting mental, emotional, and physical wellbeing of children and families within learning communities

Certifications
Object-Oriented Programming & Data Analysis (2023)
Director of Educational Programs & Leisure Activities
Blockchain, IoT, VR/AR and AI Specialization — Lagherta Project

Professional Development:
15+ educator trainings on integrating creative pedagogies, emerging technologies, and sustainable wellbeing practices
Deep study in relational pedagogy, differentiated instruction, and digital literacy
Experience / Qualifications
FOUNDER & LEARNING DESIGNER — 2016 to Present
Global Impact:

Designed and delivered 50+ educational programs integrating AI, blockchain, VR, and creative technologies
Taught 1,000+ children (Grades 3–9) across France, Spain, Portugal, and the United States
Scaled impact from local workshops to international summer camps with 7+ countries represented
Developed project-based curricula emphasizing innovation, entrepreneurship, digital literacy, and future-ready skills
Created personalized mentoring and small-group teaching (ages 5–15) using differentiated instruction and relational pedagogy
Trained 15+ educators on integrating creative pedagogies, emerging technologies, and mindful teaching practices
Served as a family coach, supporting mental, emotional, and physical wellbeing of children and families
Partnered with schools and educational companies to design interdisciplinary programs promoting social impact and sustainability


EDUCATION & INNOVATION CONSULTANT (EUROPE) — 2020 to Present

Strategic mentoring for educational organizations and entrepreneurs in design thinking and future-oriented problem-solving
Co-designed training programs for educators and entrepreneurs blending technology, sustainability, and creativity
Collaborated with educational institutions to develop international leadership and cross-cultural collaboration


PROGRAM DIRECTOR — INTERNATIONAL CAMPS & EDUCATIONAL SCHOOLS (FRANCE, SPAIN, U.S.) — 2019 to Present

Co-designed and facilitated international leadership programs bringing together youth from 7+ countries
Developed skills in creativity, collaboration, and sustainability
Managed multidisciplinary teams and cultivated partnerships with educational institutions and companies
Coordinated international summer camps and educational school trips with 20+ international participants


CORE COMPETENCIES & SPECIALTIES
✓ Future-focused curriculum design
✓ Advanced technologies: AI, Blockchain, VR/AR, IoT
✓ Personalized & differentiated instruction
✓ Social-emotional learning & family coaching
✓ Multicultural & multilingual education
✓ Educator training & professional development
✓ International leadership & cross-disciplinary collaboration
✓ Relational, curiosity-led pedagogy

MY TEACHING APPROACH
What I Believe:
When children own their learning, everything changes.

Children learn best when they have agency and control
Real projects beat worksheets
Questions matter more than answers
Every child's brain is wired differently
Tools matter less than the thinking they enable
Wellbeing + learning are inseparable
Trust always precedes academic success


How I Teach:
I design personalized, differentiated instruction that meets each child where they are.
I use what's called relational pedagogy, first building a trusting relationship, then scaffolding learning around their actual interests and needs.
I integrate emerging technologies (AI, blockchain, VR/AR) not because they're trendy, but because they help children think differently about real-world problems.
Every class includes social-emotional learning. Children develop not just skills, but confidence, resilience, and the belief that they can solve problems.
Age
Preschool children (4-6 years old)
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Duration
60 minutes
90 minutes
The class is taught in
French
Spanish
English
Reviews
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
Homework support isn't about getting answers faster. It's about learning how to learn.
While some parents see homework as a battle, I see an opportunity: teaching your child how his brain actually works.

In this class, your child will learn:
✓ How to actually study: not "work harder," but use methods that stick (mind maps, spaced repetition, Pomodoro technique)
✓ Time management without stress: organizing a chaotic schedule without anxiety apps
✓ When to use AI wisely: ChatGPT and other tools as learning partners, not cheating shortcuts
✓ Skills that matter: clear communication, problem-solving like a real thinker, asking good questions
✓ Support in any subject: math, languages, science, humanities, whatever they struggle with


How it works:
We start by understanding how your child actually learns, we don't impose a system that doesn't work for him.
Then we build a toolkit: proven study methods, personal strategies, technology used intelligently, and the confidence that he can learn anything.

What they take home:
A study system that works for him, not for others. Techniques he uses across all subjects. And something more important: the belief that learning isn't something that happens to him — it's something he controls.

Format: Online or Barcelona | 60–90 min sessions | Personalized to his age, subjects, and pace.
For parents wondering "Why is homework still a battle?"

Let's rebuild the foundation
Read more
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?"
Read more
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Hello, I am a doctoral student in electrical engineering and associate professor in engineering sciences, experienced in the field of electrical engineering, I offer support courses in the subjects of engineering sciences (Electronics, automatics, electrical engineering, automation, programming).

Digital electronics
Analog electronic
electromagnetism (propagation of high frequency waves)
Automatic (continuous, sampled)
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C / c ++ programming, Assembler, ARM, STM32
renewable energy (wind, PV)
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Put the student in a situation of questioning and research.

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Specific preparation for higher education requirements (in-depth content, increase in work capacity, enrichment of scientific background)

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Welcome!

I have already completed my master’s degree in mechanical engineering and am currently doing my doctorate.

Tutoring is offered in

✔AutoCAD
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✔Excel
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✔Matlab
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Class / study / training and subject
notify!

I'm looking forward to your messages.
verified badge
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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Don't settle for anything less than excellence.
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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.

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- Preparation for IB/IA, A-Levels, GCSE, University Entry, or equivalent.
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* This digital training aims to introduce you to the Scratch tool and through the game world, and gradually, to discover programming concepts such as loops, conditions or variables. It is aimed at anyone who is new to Scratch and who wants to create games and animations.

* Learning programming will allow students to develop their skills and will certainly allow them to meet the expectations of the future working world and emerging careers.

* In addition, learning programming allows the development of algebraic, algorithmic and computational thinking. Programming also helps to improve and develop students' sequencing ability, as well as their communication skills. Thus, there are several advantages to teaching programming, but the important thing is to remember that this learning teaches students that digital is not only for entertainment, but that it is possible to become creators. active and creative content.
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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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🌟 Course for Beginners - Discover the Secrets of Adobe Photoshop! 🌟

Have you always wanted to master Adobe Photoshop, but the features seem intimidating? Do not worry anymore! I offer courses specially designed for beginners, to guide you step by step into the fascinating world of Photoshop.

🖌️ What you will learn:

The essential basics of the Photoshop interface.
Image editing tools to improve your photos.
Creating simple and impactful designs.
🗓️ Flexible hours:
Choose sessions that fit your busy schedule.

🎓 Experienced Trainer:
Benefit from the expertise of an experienced trainer who will guide you through each step, allowing you to unleash your creativity.
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🚀 Want to become a web development expert? Join my courses to learn how to master MERN and MEAN stacks, the modern technologies used by leading companies to develop robust and scalable web applications.

I am a Full-Stack developer with several years of experience building web applications using MERN (MongoDB, Express, React, Node.js) and MEAN (MongoDB, Express, Angular, Node.js) technologies. I will guide you through practical projects and fundamental concepts to enable you to become a successful, independent developer.

The training program includes:

MERN Stack:

- Introduction to MongoDB, Express, React, Node.js
- Creation of RESTful APIs with Express and Node.js
- Integration of NoSQL databases with MongoDB
- Front-end development with React (hooks, state management, routing)
- Authentication and session management with JWT
- Deployment of MERN applications on services like Heroku, Netlify, or AWS

MEAN Stack:

- Discovery of Angular and its concepts (directives, services, modules, etc.)
- Using Express to develop RESTful APIs
- Connection with MongoDB and data management
- Development of dynamic interfaces with Angular
- Integration of web development best practices
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🐍 Python Course – Learn to code and create your projects!

This course is for anyone who wants to:

✅ Learn Python from the beginning
✅ Strengthen their programming skills

📚 On the program:

Variables

Loops

Functions

Data structures

Practical projects for implementation

💡 How does the course work?

Clear explanations to understand the programming logic

Targeted exercises adapted to your level

Concrete projects to create your own applications

🎯 My goal:

Helping you understand the logic behind the code

Progress at your own pace

Create your own projects in Python and gain independence
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This computer science support course is designed for students and learners wishing to strengthen their foundations or improve their level in computer science and programming.
I support participants in a pedagogical and progressive manner, adapting to their level and objectives (university courses, training, practical work, exams, projects).
The goal is to understand, practice and gain autonomy through clear explanations and concrete examples.
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Primary School Teacher. I offer personalized guidance in developing lesson plans and learning activities adapted to current educational regulations. During our sessions, you will learn to structure and write a complete lesson plan, including specific competencies, assessment criteria, core knowledge, methodology, addressing diversity, evaluation, and learning situations. My goal is to help you understand each section so you can independently develop a coherent, rigorous, and high-quality lesson plan.

You will learn to design practical, creative proposals, developing the necessary skills to apply them in the classroom or in competitive examination processes.
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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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I am a certified computer science professor who helps graduates and students with exam retakes and competitions. I tutor preparatory classes (MPSI, MP, PSI, ECS, etc.) up to university level (Bachelor's & Master's in Science or Economics). My method is based on understanding the lessons, practicing correctly, organizing the concepts, and completing exercises and problems of your choice. Each session includes verbal exercises, methodological tips, and subsequent personalized advice. You will receive a video recording and an annotation in PDF format after each session. The online courses are conducted via Google Meet, 5 days a week, with flexible scheduling. I am available between sessions to answer questions. Contact me for an initial consultation.
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