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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 20 $ /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 -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
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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✅ Data Science & AI: Data analysis, machine learning fundamentals
✅ Web Development: HTML, CSS, JavaScript

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🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development.
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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
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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
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Understanding the execution context (often poorly understood).
5. Limitations of simple objects
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16. Best practices in OOP
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17. Common mistakes made by beginners
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18. Guided practical exercise
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19. Assessment Quiz (Multiple Choice Questions)
To validate the actual understanding of the concepts.

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Clear and illustrated explanations
Concrete examples from real projects
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Here, we don't "recite OOP" — we understand it.

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At the end of the training, you will not only know how to write a JavaScript class.
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1- Why does it exist?
2- When to use it
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a solid understanding of OOP
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an ideal foundation for learning React, Node.js or any other modern framework
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You will learn to design practical, creative proposals, developing the necessary skills to apply them in the classroom or in competitive examination processes.
Good-fit Instructor Guarantee
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Contact Chaimae