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Since November 2023
Instructor since November 2023
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Artificial Intelligence and Data Science Courses
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From 17.73 € /h
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These courses offer a comprehensive and progressive path, ranging from the fundamentals of artificial intelligence and data science to advanced mastery of concepts, tools and applications.
The approach adopted combines theory and practice through real projects, challenges and competitions, as well as personalized support to guide each participant in their development.

Each module is designed to:

Build a solid understanding of the principles of AI, machine learning, and deep learning.

Explore data processing, modeling and predictive analysis techniques.

Develop practical skills through concrete and collaborative projects.

Prepare for a career in AI and Data Science through monitoring, mentoring and continuous monitoring of trends and innovations in the field.

It is not simply a series of courses, but a real training and career guidance program, designed to transform curiosity into expertise and learning into a career opportunity.
Location
location type icon
Online from Morocco
About Me
I obtained my DEUST in mathematics, computer science and physics at the Faculty of Science and Technology. Through this, I gained a solid knowledge base in mathematics and physics, as well as basic computer skills.

By continuing my studies in computer science, I was able to deepen my knowledge in this field, particularly with regard to the logic of algorithms and the use of the Python language for data processing and analysis. I worked on many complex projects which allowed me to master the Python language and its different libraries and frameworks such as Pandas, NumPy, Matplotlib, and Flask.

Currently, I am a first year master's student in Artificial Intelligence at the École Normale Supérieure de l'Enseignement Technique de Mohammedia. This training offers me a solid foundation in this constantly evolving field.

In these courses, my main goal is to provide students with a solid foundation that will allow them to effectively learn and master Python algorithms and language. In addition to theory, we will work on concrete mini-projects to allow students to apply the concepts they have learned. This will enable them to develop practical skills and strengthen their understanding of the subjects, preparing them to take on more complex challenges in these areas.
Education
University degree in Mathematics, Computer Science and Physics.
Bachelor's degree in Computer Science, Networks and Multimedia at the Faculty of Science and Technology.
First year of master's degree in Distributed Systems and Artificial Intelligence at the École Normale Supérieure de l'Enseignement Technique de Mohammedia.
Experience / Qualifications
Provide programming support courses (Python, Algorithms, etc.)
Provide programming support courses (HTML, CSS, etc.)
Age
Preschool children (4-6 years old)
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Student level
Beginner
Intermediate
Advanced
Duration
45 minutes
60 minutes
90 minutes
120 minutes
The class is taught in
French
Arabic
English
Availability of a typical week
(GMT -05:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
This comprehensive program offers a deep dive into the world of computer science and programming, covering two essential areas: algorithms and Python. It is designed for beginners, as well as those looking to strengthen their skills in these areas.

Part 1: Fundamentals of Algorithms
In this first section, we'll explore the fundamental concepts of algorithms, including data structures, sorting techniques, searching, algorithmic complexity, and more. You will develop the ability to design, analyze and optimize algorithms to solve a variety of problems.

Part 2: Programming in Python
The second part of the course focuses on programming in Python, a language prized for its simplicity and versatility. You'll learn the basics of Python, including commonly used variables, loops, functions, and libraries. You will put your knowledge into practice by automating tasks, developing web applications, and performing data analysis.

This comprehensive course is ideal for those who want to gain a solid foundation in computer science, from theory to practice. Whether you're an absolute beginner or looking to expand your programming skills, this program will help you achieve your goals
Read more
My courses mainly focus on in-depth understanding of problems in mathematics. They are designed to help students learn how to solve these problems effectively by guiding them through each step of the process. My approach aims to strengthen students' problem-solving skills by providing them with clear and structured methods and techniques.

In addition to detailed explanations, I also provide additional materials to help students with their learning. These materials may include additional exercises, additional examples, and additional resources to deepen their understanding. Additionally, I provide solution documentation for each problem covered, allowing students to check their answers and understand the underlying concepts in more depth.

In summary, my courses aim to provide students with an enriching and interactive learning experience, helping them master math skills while developing their confidence in their ability to solve problems independently.
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Why unstructured code quickly becomes unmanageable.
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Properties, methods and representation of the real world.
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Understanding the execution context (often poorly understood).
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Why duplicating code is a bad idea.
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Create multiple objects from the same model.
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Sharing methods and memory optimization.
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Modern syntax and best practices.
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Proper initialization of objects.
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Protect the internal state of objects.
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Reusing code intelligently.
13. The keyword super
Communication between parent and child in the classroom.
14. Polymorphism
The same behavior, several forms.
15. Composition vs. Inheritance
Choosing the right architecture.
16. Best practices in OOP
Write readable, scalable, and maintainable code.
17. Common mistakes made by beginners
Pitfalls to absolutely avoid.
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19. Assessment Quiz (Multiple Choice Questions)
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🛠️ Teaching method: Understand before writing

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Simple but effective exercises
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Analog electronic
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Automatic (continuous, sampled)
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C / c ++ programming, Assembler, ARM, STM32
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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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►I attach great importance to ensuring that my students truly understand statistical concepts, data analytics methods, machine learning, and AI models, rather than just applying them mechanically – this is how we achieve sustainable success in statistics, data analytics, and modern technologies.

►My success is based on my ability to flexibly adapt my teaching style to the individual needs of students in statistics, data analytics, machine learning and AI, including topics such as regression methods, logistic regression and other machine learning algorithms.

►I use practical, lively examples from statistics, data science and AI to clearly explain abstract concepts such as hypothesis testing, analysis of variance, linear and nonlinear models and to anchor them deeply in the memory.

►With patience and clarity, I break down complex statistical analyses, machine learning models, and data processes into their essential components so that no student is overwhelmed and can build a solid foundation in statistics, data analytics, and AI.

►I am convinced that trusting collaboration is crucial to reducing uncertainty in statistics or data science and creating a productive learning atmosphere.

►I offer intensive exam preparation and project support in statistics, data analytics, machine learning and AI, develop strategies to combat exam anxiety with my students and train them on real data sets and complex algorithms.

►As an experienced online tutor for statistics, data analytics, machine learning, and AI, I use modern tools such as interactive whiteboards and live coding sessions in R to make teaching as efficient and practice-oriented as possible.

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Object-Oriented Programming is often perceived as complex or abstract.

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

Understanding what Object-Oriented Programming really is (and when to use it)
Create and manipulate objects in JavaScript in a clean and efficient way
Use ES6 classes, constructors, and methods with confidence
Mastering this, the prototype, and the instantiation logic
Apply encapsulation, inheritance, and polymorphism without confusion
Avoiding common mistakes made by OOP beginners
Structure your JavaScript code like a professional developer

📖 Training Plan – Object-Oriented Programming in JavaScript
1. Introduction to Object-Oriented Programming 🧠
Understanding the concept, objectives and benefits of OOP.
2. Procedural Programming vs. OOP
Why unstructured code quickly becomes unmanageable.
3. Objects in JavaScript
Properties, methods and representation of the real world.
4. The keyword this
Understanding the execution context (often poorly understood).
5. Limitations of simple objects
Why duplicating code is a bad idea.
6. Constructive functions
Create multiple objects from the same model.
7. The keyword new
What it's actually doing under the hood.
8. The prototype
Sharing methods and memory optimization.
9. ES6 Classes
Modern syntax and best practices.
10. The builder
Proper initialization of objects.
11. Data Encapsulation
Protect the internal state of objects.
12. Inheritance between classes
Reusing code intelligently.
13. The keyword super
Communication between parent and child in the classroom.
14. Polymorphism
The same behavior, several forms.
15. Composition vs. Inheritance
Choosing the right architecture.
16. Best practices in OOP
Write readable, scalable, and maintainable code.
17. Common mistakes made by beginners
Pitfalls to absolutely avoid.
18. Guided practical exercise
Creation of a concrete class (product, user, etc.).
19. Assessment Quiz (Multiple Choice Questions)
To validate the actual understanding of the concepts.

🛠️ Teaching method: Understand before writing

This training program is based on a progressive and pragmatic approach:
Clear and illustrated explanations
Concrete examples from real projects
Simple but effective exercises
Constant questioning to avoid rote learning
Adaptation to the learner's level and pace
Here, we don't "recite OOP" — we understand it.

🚀 Learner's result

At the end of the training, you will not only know how to write a JavaScript class.
You will know:

1- Why does it exist?
2- When to use it
3- and when not to use it

You will leave with:
a solid understanding of OOP
a cleaner and more professional code
an ideal foundation for learning React, Node.js or any other modern framework
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