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Since July 2017
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Understanding AI: Create, Think, and Explore with AI (8-16 years, EN/ES/FR)
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From 90 € /h
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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?"
Extra information
No prior programming or technology experience needed
Reliable internet connection and working microphone/camera
Bring a notebook or document to take notes and save projects
Classes are interactive, you're expected to ask questions and experiment
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
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
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.
Read more
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
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• Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming
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-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
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Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected.

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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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- Sharing and collaborative work
- Tips to gain efficiency and speed.

The course begins with a knowledge test that will allow us to assess your skills and focus on the essentials.

Duration: 1 month
Hourly volume: 24 hours

Register now !
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Give your child the future he deserves.

these courses are intended to help your child succeed in significantly increasing the average by assimilating the course and preparing for the next tests (assimilating the course, practicing standard exercises, anticipating the teacher's expectations and test questions, have writing methods) in the following subjects:
Maths - Physics-Chemistry and Computer Science.
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Don't settle for anything less than excellence.
I am an Aerospace Engineer with a Master's degree in Quantum Physics and have completed Ph.D. work at the University of Cambridge in Computational Physics. Additionally, I have 4 years of experience developing MATLAB and possess deep programming skills in MATLAB/Simulink family, C/C++, Fortran, and Python.

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

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

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

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

I have a highly flexible schedule and can adapt to accommodate your needs.
If you have any questions about my teaching method, availability, or pricing, please don't hesitate to reach out. I am here to assist you and provide the support you need.
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Python is a powerful and versatile programming language with countless possibilities. You can use it for data analysis, image processing, automation, software development, hardware control, and much more.

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

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

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

Let's turn your ideas into working Python projects!
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Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.
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Become a Trading Pro with NinjaTrader!

Are you passionate about trading and want to master one of the most powerful trading platforms on the market? If so, this ad is for you!

As a seasoned NinjaTrader expert, I offer personalized courses to help you master this exceptional trading platform. Whether you want to learn how to trade manually or automate your strategies using C# and custom indicators, I'm here to guide you every step of the way.

My courses are designed for traders of all levels, from complete beginners to experienced professionals. Here's what you can expect:

- In-depth training on using NinjaTrader, including navigating the interface, executing orders, and analyzing the markets.
- Detailed instructions on creating and optimizing automated trading strategies using C#.
- Practical advice on using custom indicators to refine your technical analysis and make informed trading decisions.

Whether you are looking to generate additional income through trading or make trading your full-time career, my courses will provide you with the knowledge and skills needed to succeed in the financial markets.

Don't miss this opportunity to become a true trading expert with NinjaTrader! Contact me today to reserve your spot and begin your journey to financial success.
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This preparation session is dedicated to students aiming for preparatory classes for scientific Grandes Ecoles (CPGE), with a particular focus on the subjects of Physics and Engineering Sciences. The goal is to strengthen the foundations and deepen the knowledge to succeed.

1. Mechanics:
Kinematics: Study of rectilinear and circular movements, position vectors, speed and acceleration.
Dynamics: Newton's laws, work and energy, kinetic energy theorem.

2. Electromagnetism / Electrokinetics:
Electrostatics: Electric charges and fields, electric potential, capacitance.
Magnetostatics: Magnetic fields, Lorentz forces, electromagnetic induction.
Alternating Currents: RLC circuits, resonance, impedance.

3. Thermodynamics:
Principles of thermodynamics: Internal energy, heat, work, first and second principles.
Ideal and real gases: Equations of state, thermodynamic transformations.

4. Industrial sciences:
Automatic Linear, Kinematic, Static.

For more information and to register for the preparation session, please contact me.

Good preparation and success in your studies!

.
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Are you looking to bridge learning gaps, boost confidence, or push for top-tier grades? Whether your child is struggling with a specific concept or preparing for crucial exams, this comprehensive tutoring service provides the individualized support needed to succeed.

As a qualified educator with a Bachelor of Accounting Science, a Postgraduate Certificate in Education (PGCE), and a 120-hour TEFL certification, I offer a unique, multi-disciplinary approach to learning. I understand that every student learns differently, and my goal is to simplify complex topics, improve study habits, and foster a genuine understanding of the curriculum.

What this class offers:

Comprehensive Subject Coverage: Assistance across a wide range of school subjects, from foundational literacy and numeracy to advanced mathematics, accounting, and language studies.

Targeted Exam Preparation: Specialized strategies for test-taking, managing time effectively during exams, and tackling high-pressure assessments.

Personalized Learning Plans: Each session is tailored to the student’s current pace and specific curriculum requirements, ensuring they don't just "pass" but truly master the material.

Confidence Building: A supportive, patient, and focused environment where students feel comfortable asking questions and exploring new ideas.

With my background in both formal education and corporate business, I bring a structured, result-oriented focus to tutoring, helping students develop the discipline and analytical skills they will need long after they leave the classroom.

Ready to help your student reach their full potential?
Consistency is key to academic success. Book a session today so we can evaluate your student's current needs, set clear academic goals, and create a customized tutoring schedule that fits your family's routine.
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This course provides a foundational understanding of Information Technology, data centers, covering architecture, power & cooling, networking, storage, virtualization, security and lots more. Learn best practices for efficiency, scalability, and reliability while exploring emerging data center solutions. Ideal for IT professionals, engineers, and facility managers involved in data center deployment or management.

This course offers a comprehensive exploration of Information Technology, data center infrastructure, guiding students through the entire lifecycle—from initial design and planning to day-to-day operations and long-term performance optimization. Students will learn the critical components of data center design, including site selection, power and cooling systems, space planning, networking, and physical security. The course also covers operational best practices, monitoring tools, energy efficiency strategies, disaster recovery planning, and emerging trends. By integrating technical, environmental, and management perspectives, students will gain the knowledge and skills required to build and maintain high-performance, cost-effective, and sustainable data center environments.
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Python is today one of the most widely used programming languages in the world, both in Data Science, Artificial Intelligence, Web Development and for task automation.
In this course, I will guide you step by step according to your level:

Beginner: basics of the language (variables, loops, conditions, functions).

Intermediate: data manipulation (Pandas, NumPy), file management, object-oriented programming.

Advanced: practical projects (data analysis, machine learning, automation, API, web scraping).

My goal is to make learning clear, practical, and motivating. You'll not only learn how to code in Python, but also how to structure your projects and apply your knowledge to real-life scenarios.
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Objective: To understand AI without fear, to use it to simplify one's life, to know how to identify digital traps, and to use Word, Excel, etc. without difficulty.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?
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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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