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Since December 2024
Instructor since December 2024
Translated by GoogleSee original
Cybersecurity, practical work, practice exams, etc.
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From 23 € /h
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1 Discover the pillars of Cybersecurity
2 Identify terminology related to Cybersecurity
3 Understand the different postures of Cybersecurity
4 Understanding the term Cybersecurity,
5 Identify Cybersecurity terminologies,
6 Know the tactics, techniques and procedures used by attackers,
7 Practical workshops
Extra information
RAS
Location
location type icon
Online from Morocco
About Me
Hello,

I have been passionate about computers for over 20 years. With two decades of teaching experience, I have had the privilege of supporting learners of all ages and levels in developing their computer skills and achieving their professional and personal goals.

Computer science is an essential skill today, opening the door to countless opportunities. Whether you want to learn programming, website design, data analysis, or complex problem-solving, I'm here to guide you every step of the way.
Education
PhD in Computer Science (Artificial Intelligence), Master in E-commerce, Python Certified, Adobe Certified, Microsoft Certified, Several Scientific Publications,
Experience / Qualifications
20 years of experience in computer teaching.
Proven methods suitable for all levels.
Personalized support to help you achieve your goals.
A passion for passing on skills that make a difference.
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
90 minutes
The class is taught in
French
Arabic
English
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Description:
Get started with web development and learn how to create modern applications. This course takes you from the basics (HTML/CSS) to advanced concepts (security, APIs).

Goals :

Master HTML, CSS and JavaScript.
Understand the basics of authentication and web services.
Explore the concepts of security and load testing.
Course methods and format:

Video course: Creation of interactive mini-web projects.
Flexibility: Adapted to specific needs (beginner or advanced).
For who ?
Students, budding developers or professionals wishing to get started in the web.
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Description:
This course is a comprehensive introduction to database management, including design, administration, and integration into applications.

Goals :

Understand relational models and the use of the SQL language.
Create and administer efficient and secure databases.
Integrating foundations into modern applications.
Course methods and format:

Video courses: Guided practice on tools like MySQL or PostgreSQL.
Flexibility: Exercises adapted to your specific projects.
For who ?
Students, developers or professionals wishing to master databases.
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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The authenticity of an exchange. In a society increasingly rooted in a competitive approach, where automated exchanges with Artificial Intelligence cannot replace the need for human interaction, this is precisely what we lack.
As a lawyer by training and an independent legal consultant, creating the Right to Knowledge (Droit au(x) Savoir(s)) is a breath of fresh air. This offering of private lessons in small groups of no more than three people is aimed directly at high school students, undergraduate or graduate law students, and more generally at anyone intrigued by the beauty of legal language (you'll discover it soon enough). Because learning in a small group cultivates a sense of community while allowing for the expression of your individual perspectives.
Moreover, being currently preparing for the entrance exam to the National School of Magistrates, a solid mastery of legal fundamentals as well as the methods required in legal studies remains.

🎓 It is now necessary to elaborate somewhat on my experience:
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Regarding the law, and to clarify my point, the teaching that was provided covered and still covers a broad spectrum within the legal field, namely:
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👋 What about my teaching approach, you might ask?
Beyond this desire for authenticity, it seems particularly crucial to dismantle the prejudices that poison the perception of legal studies. Law can then, and in my humble opinion must, be considered within the delicate balance between discipline and flexibility, between rigor and adaptability.

💬 Wouldn't you be interested?
Please feel free to contact me by message and I remain available to discuss the frequency of classes and their modalities (in-person in Tours, videoconference and possibility of travel if necessary).

In the meantime, Madam/Sir, it would be a real pleasure for me to support you as best I can on your path to success because, as its name suggests: you have the Right to Knowledge! 😉
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Scenario analysis, Year, Rounding, Today, Bdnb, Bdnbval, Bdsum, Search, Column, Copy/paste in values, Copy/paste with transposition, Consolidation, Date, Datedif, Determat, Dollar, Right, Righterg, Equiv, Esterror, Estna, Frequency, Filter (simple and advanced), Format of cells, Left, Large.Value, Printing of documents, Index, Indirect, Inversemat, Day, Weekday, Line, Matrix, Max, Maxa, Max.Si, Min , Mina, Mina.If, Formatting of cells and ranges, Month, Average, Average.If, Nb, Nb.If, Nbval, Naming of cells and ranges, No, Small.value, Product, Productmat, Protection of cells, Lookup (Lookup), Lookupv (VLookup), Lookuph (HLookup), If (If), If.Not.Disp, If.Conditions, Iferror, Sum, Sumproduct, Sum.If, Sum.If.Set, Substitute , Pivot tables, Sorting, Cell locking

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verified badge
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I teach:
• 🔢 Mathematics: From algebra and calculus to applied problem-solving for real-world use.
• 💻 Computer Science: Coding fundamentals (Python, C++), algorithms, and logical thinking for beginners and intermediate learners.
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verified badge
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verified badge
You will learn Systematic Reasoning & Logical Thinking which is a requirement for entering Computer Science program in many universities.
The book “Delftse Foundations of Computation” especially its second chapter will be the main source of our lesson, but other more in-depth books will be also covered if you want to improve even further on logical thinking.
The topics in our lesson include:
• Propositional Logic: Logical operators; Precedence rules; Logical equivalence; Implications in English; Exclusive or; Universal operators; Classifying propositions
• Boolean Algebra: Substitution laws
• Logic Circuits: Logic gates; Combining gates to create circuits; From circuits to propositions; Disjunctive Normal Form; Binary addition.
• Predicate Logic: Predicates; Quantifiers; Tarski’s world and formal structures;
• Deduction: Valid arguments and proofs; Proofs in predicate logic

If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)
verified badge
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Interactive Learning:

Engage in thought-provoking discussions and case studies.
Participate in simulations to apply theoretical knowledge to real-world scenarios.
Tailored Approach:

Receive personalized attention and guidance to suit your learning style.
Benefit from a flexible curriculum that adapts to your needs and interests.
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Learn the law through an academic, modern, and practical approach. Thanks to my university and professional experience, I help students understand legal concepts in depth, develop legal reasoning, and retake exams. The courses combine clear and applied explanations, legal methodology, and personal guidance. Thanks to my university and professional experience, I help students understand legal concepts deeply, develop legal reasoning, and retake exams. The courses combine clear and practical explanations, legal methodology, and personal guidance. Learn about law through an academic, modern, and practical approach. Thanks to my university and professional experience, I help students understand legal concepts deeply, develop legal reasoning, and retake exams. The courses combine clear and practical explanations, legal methodology, and personal guidance. Learn about law through an academic, modern, and practical approach. Thanks to my university and professional experience, I help students understand legal concepts deeply, develop legal reasoning, and retake exams. The courses combine clear and practical explanations, legal methodology, and personal guidance. Learn about law through an academic, modern, and practical approach. Thanks to my university and professional experience, I help students understand legal concepts deeply, develop legal reasoning, and retake exams. The courses combine clear and practical explanations, legal methodology, and personal guidance. Learn about law through an academic, modern, and practical approach. Thanks to my university and professional experience, I help students understand legal concepts deeply, develop legal reasoning, and retake exams. The courses combine clear and practical explanations, legal methodology, and personal guidance. Learn about law through an academic, modern, and practical approach. Thanks to my university and professional experience, I help students understand legal concepts deeply, develop legal reasoning, and retake exams. The courses combine clear and practical explanations, legal methodology, and personal guidance. Learn about law through an academic, modern, and practical approach. Thanks to my university and professional experience, I help students understand legal concepts deeply, develop legal reasoning, and retake exams. The courses combine clear and practical explanations, legal methodology, and personal guidance. Learn about law through an academic, modern, and practical approach. Thanks to my university and professional experience, I help students understand legal concepts deeply, develop legal reasoning, and retake exams. The courses combine clear and practical explanations, legal methodology, and personal guidance. Learn about law through an academic, modern, and practical approach. Thanks to my university and professional experience, I help students understand legal concepts deeply, develop legal reasoning, and retake exams. The courses combine clear and practical explanations, legal methodology, and personal guidance. Learn about law through an academic, modern, and practical approach. Thanks to my university and professional experience, I help students understand legal concepts deeply, develop legal reasoning, and retake exams. The courses combine clear and practical explanations, legal methodology, and personal guidance. Learn about law through an academic, modern, and practical approach. Thanks to my university and professional experience, I help students understand legal concepts deeply, develop legal reasoning, and retake exams. The courses combine clear and practical explanations, legal methodology, and personal guidance. Learn about law through an academic, modern, and practical approach. Thanks to my university and professional experience, I help students understand legal concepts deeply, develop legal reasoning, and retake exams. The courses combine clear and practical explanations, legal methodology, and personal guidance. Learn about law through an academic, modern, and practical approach. Thanks to my university and professional experience, I help students understand legal concepts in depth, develop legal reasoning, and retake exams. The courses combine clear and practical explanations, legal methodology, and personal guidance.
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I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work.

Topics include:
Python fundamentals through a finance lens (data structures, functions, control flow).
Working with financial data and datasets.
Performance benchmarking and writing efficient code.
Applying concepts from Hilpisch's Python for Finance.
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With over seven years of experience in teaching Computer Science & Information Technology (ICT), I have developed a strong expertise in delivering high-quality education across multiple internationally recognized curricula, including Cambridge IGCSE, GCSE, A-Levels, O-Levels, and Checkpoint. My passion lies in equipping students with coding, cybersecurity, and digital literacy skills, ensuring they are well-prepared for the evolving demands of the digital world.

Expertise & Teaching Areas:
✅ Programming & Software Development: Python, Java, C++
✅ Cybersecurity: Ethical hacking, data protection, network security
✅ Digital Literacy: ICT applications, online safety, cloud computing
✅ Data Science & AI: Data analysis, machine learning fundamentals
✅ Web Development: HTML, CSS, JavaScript

Curriculum & Pedagogical Experience:
🔹 Cambridge IGCSE & GCSE ICT & Computer Science – Teaching core and extended syllabi, focusing on programming logic, databases, and networking.
🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development.
🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications.

Professional Impact:
📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams.
📌 Developed interactive lesson plans integrating real-world applications of technology.
📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning.
📌 Guided students in project-based learning, including app development and website design.

With a strong commitment to student-centered learning and technological innovation, I am dedicated to shaping future tech leaders and empowering learners with skills relevant to careers in technology, data science, and software development.
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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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This course introduces students to the fundamentals of Information and Communication Technology (ICT) and its role in modern society. Topics include computer hardware and software, digital communication tools, internet technologies, data management, cybersecurity, and emerging trends. Students will gain practical skills in using productivity software, conducting online research, and understanding the ethical and responsible use of digital resources. The course emphasizes both technical proficiency and digital literacy, preparing learners to confidently navigate and contribute to a technology-driven world.
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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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Whether you're preparing for IB, IGCSE, GCSE, or simply want to build confidence in Mathematics, I'm here to help. I have over 3 years of teaching experience and 7 years of professional software engineering experience, allowing me to explain mathematical concepts in a clear, logical, and practical way.

My lessons are tailored to each student's needs and learning pace. I believe understanding the "why" behind a concept is far more valuable than memorising formulas. During lessons, I use carefully prepared practice questions and exam-style exercises, many of which I create myself using professional typesetting tools like LaTeX that is used by IB and Cambridge directly.

I encourage students to ask questions freely and develop strong problem-solving skills. Whether you're aiming to improve your grades, prepare for school exams, or study for international curricula such as IB, IGCSE, or GCSE, I'll help you build confidence step by step in a supportive learning environment.

I use a Pen Display Tablet to write on it using Goodnotes as the writing app, which I share the link to the whiteboard used with the students.

Lessons are available online or in-person (within 30 mins train travel from Shinjuku, Tokyo), and are conducted in English.
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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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As a high school Economics and Management teacher and former lawyer, I currently teach law and economics in the final year of STMG (Science and Technology of Management and Business).
I offer private lessons to high school and university students who wish to better understand these subjects, consolidate their knowledge, acquire an effective work method or prepare for an exam.
In law, we work on understanding legal concepts and vocabulary, classifying facts, formulating legal issues, identifying applicable rules, and constructing rigorous legal reasoning. Depending on the level, support may also include practical cases and methodological exercises for higher education students.
In economics, I prioritize understanding mechanisms rather than mechanical learning: mastering concepts, analyzing documents and data, mobilizing knowledge and constructing a reasoned response.
The sessions are tailored to each student's needs: reviewing a poorly understood chapter, reinforcing fundamental concepts, methodology, targeted exercises, and preparing for an assignment or exam. I can also provide summary materials when necessary.
Particular attention is paid to the quality of reasoning, the precision of vocabulary, and written expression.
My goal: to enable the student to understand, reason methodically and gradually become autonomous.
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The authenticity of an exchange. In a society increasingly rooted in a competitive approach, where automated exchanges with Artificial Intelligence cannot replace the need for human interaction, this is precisely what we lack.
As a lawyer by training and an independent legal consultant, creating the Right to Knowledge (Droit au(x) Savoir(s)) is a breath of fresh air. This offering of private lessons in small groups of no more than three people is aimed directly at high school students, undergraduate or graduate law students, and more generally at anyone intrigued by the beauty of legal language (you'll discover it soon enough). Because learning in a small group cultivates a sense of community while allowing for the expression of your individual perspectives.
Moreover, being currently preparing for the entrance exam to the National School of Magistrates, a solid mastery of legal fundamentals as well as the methods required in legal studies remains.

🎓 It is now necessary to elaborate somewhat on my experience:
- 5 years already dedicated to private lessons (which is significant) via the organization Complétude as well as independently (law, French, science, history and languages).
Regarding the law, and to clarify my point, the teaching that was provided covered and still covers a broad spectrum within the legal field, namely:
- Legal methodology (essential for success: legal essay, practical case study, case commentary and summary note)
- Civil Law (fundamental concepts, contract law, family law, tort law, property law, civil procedure, etc.)
- Criminal Law (fundamental concepts, special criminal law, criminal procedure, criminal law of property and business)
- Administrative Law (fundamental concepts, review of the vast body of existing case law on the subject)
- Labour Law (history of trade unionism, study of the employment contract)
- Public Law (Constitutional Law, Law of Local Authorities, Law of Social Welfare and Action, Constitutional Litigation)
- European Union Law (primary and secondary law, European Union litigation)
- The Law of English-speaking and Spanish-speaking countries
- ... and other subjects directly related to the program of the entrance examination to the National School of the Judiciary.

👋 What about my teaching approach, you might ask?
Beyond this desire for authenticity, it seems particularly crucial to dismantle the prejudices that poison the perception of legal studies. Law can then, and in my humble opinion must, be considered within the delicate balance between discipline and flexibility, between rigor and adaptability.

💬 Wouldn't you be interested?
Please feel free to contact me by message and I remain available to discuss the frequency of classes and their modalities (in-person in Tours, videoconference and possibility of travel if necessary).

In the meantime, Madam/Sir, it would be a real pleasure for me to support you as best I can on your path to success because, as its name suggests: you have the Right to Knowledge! 😉
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