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Since February 2023
Instructor since February 2023
Translated by GoogleSee original
Practical introduction to PYTHON programming and Artificial Intelligence: Theory and applications
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From 26 € /h
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As an automatic electrical engineer, I acquired expertise in the design and optimization of electrical and control systems. I am also passionate about teaching and I give online courses in electronics, PYTHON programming language and introduction to artificial intelligence for students. My extensive knowledge in this area allows me to convey complex concepts in a clear and concise manner, helping students to better understand and excel in this subject. My goal is to provide top quality education while helping students achieve their academic goals.
Extra information
need a PC
Location
location type icon
Online from Tunisia
About Me
I am delighted to introduce you to our electrical engineering and automation expert, who has extensive experience in the field of electronics and automation, as well as proven expertise as a qualified electronics trainer for students of primary and secondary.

Our expert in electrical engineering and automation is a professional passionate about his field of expertise, having acquired solid and diversified skills in the design and implementation of innovative solutions for companies, as well as in solving complex problems in using advanced tools.

As a qualified electronics trainer, our expert also has in-depth knowledge of neural networks, multi-layer networks and Python, enabling him to impart his skills to his students with ease and passion. It is recognized for its practical and interactive approach to learning, allowing students to acquire practical skills while having fun.

Our electrical engineering and automation expert is also an inspiring leader, guiding students and colleagues to excellence through his passion for innovation and automation. His extensive experience in the field of electronics and automation makes him a valuable asset for any project requiring advanced technical expertise and a strong problem-solving ability.
Education
diploma in automatic electrical engineering at polytechnic school of sousse 3 years from 2020 until 2023
license applied in industrial maintenance at higher institute of technological studies of sousse for 3 years
Experience / Qualifications
Machind Fitness CO-Founder
IOT, automation and embedded systems dev engineer 1 year of experience at EXPERT-MECA
PLC development (programmable language computer)
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
The class is taught in
French
English
Arabic
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
As an automatic electrical engineer, I acquired expertise in the design and optimization of electrical and control systems. I am also passionate about teaching and I give online courses in electronics, IOT, embedded systems for students. My extensive knowledge in this area allows me to convey complex concepts in a clear and concise manner, helping students to better understand and excel in this subject. My goal is to provide top quality education while helping students achieve their academic goals.
Read more
As an automatic electrical engineer, I acquired expertise in the design and optimization of electrical and control systems. I am also passionate about teaching and I offer lessons for all levels, from beginner to advanced, and I adapt to each student to ensure effective and personalized learning. I teach a variety of subjects including circuits, electricity, embedded systems, IoT, python or C++ programming, AI, digital and analog electronics, microcontrollers, sensors, actuators, and much more.
My extensive knowledge in this area allows me to convey complex concepts in a clear and concise manner, helping students to better understand and excel in this subject. My goal is to provide top quality education while helping students achieve their academic goals.
Read more
Show more
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Using AI to restore or colorize old family photos.

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

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I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly.

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►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.

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►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.

►Locations: I teach statistics, data analytics, machine learning, and AI at your home, online, or by appointment – flexible, professional, and tailored precisely to your needs.
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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 and to know how to identify digital traps.

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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These courses are part of a structured and progressive training in Object-Oriented Programming (OOP) with JavaScript, designed for beginner or intermediate developers who want to understand in depth how the language works, write clearer, more maintainable code and prepare themselves calmly for modern frameworks like React ⚛️.

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

My goal is simple: to make it logical, concrete, and immediately applicable.

🎯 Training Objectives

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
Good-fit Instructor Guarantee
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