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Since January 2026
Instructor since January 2026
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IT development, Software / AI / Machine Learning
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From 12.73 Fr /h
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This course aims to introduce students to the fundamentals of computer science and modern artificial intelligence technologies. It covers essential concepts in programming, algorithms, machine learning, and AI, with both a theoretical and practical approach.

Students will learn to design algorithms, develop programs in C and Python, and implement machine learning models to solve real-world problems. The course emphasizes logic, problem-solving, and the use of modern tools in data science and AI.
Extra information
A strong internet connection is needed for good and stable communication via Google Meet.
Location
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Online from Tunisia
About Me
Hello! I am a Software Development Engineer, a graduate of the Institut Supérieur d'Informatique (ISI), with a strong background in software engineering, data mining, and business intelligence. With a degree in Business Intelligence from the École Supérieure d'Économie Numérique (ESEN), I will help you understand information concepts and I offer practical training tailored to your needs.
Education
Engineering degree in Computer Science specializing in Software Development.
Bachelor's degree in Business Computing (ESEN: Graduate School of Digital Economy)
Experience / Qualifications
Language de Programmation
C - PHP - Java - JEE- Javascript - Python
Développement web
HTML5 – CSS3 – Symfony - Angular - SpringBoot-Bootstrap- NodeJs
Analyse de Données
PowerBi - Rstudio - Data Analytics - Jira
Base de Données
SQL, PL/SQL, MongoDB, Docker
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 -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
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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.

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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.

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Copyright: Who owns an image created by AI?

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Παγκύπριες Εξετάσεις – Πληροφορική

Συστηματική προετοιμασία με έμφαση:
• κατανόηση της ύλης
• σωστή αλγοριθμική σκέψη
• μεθοδολογία επίλυσης θεμάτων
• ανάλυση παλαιών θεμάτων Παγκυπρίων

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Φοιτητές & Γενική Πληροφορική

Υποστήριξη σε:
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• Λειτουργικά Συστήματα
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• Κατανόηση & debugging κώδικα

Μαθήματα δια ζώσης ή online, με έμφαση στην κατανόηση και στη σωστή οργάνωση μελέτης.


English text below

PhD Candidate in Computer Science – Private Tutoring & Pancyprian Exams

I am a PhD candidate in Computer Science offering private tutoring for high school students (Pancyprian Exams – Computer Science) and university students.

Pancyprian Exams – Computer Science

Structured exam preparation focusing on:
• understanding the syllabus
• correct algorithmic thinking
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• analysis of past Pancyprian exams

Topics include pseudocode, arrays, loops, control structures, and common exam mistakes.

University & General Computer Science

Support in:
• Programming (C / C++ / Python)
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Lessons are available in person or online, with emphasis on understanding concepts rather than memorization.
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Contact Malek
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1st lesson is backed
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Good-fit Instructor Guarantee
Similar classes
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Vincent
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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Raouf
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?
verified badge
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Είμαι Υποψήφιος Διδάκτορας Πληροφορικής και προσφέρω ιδιαίτερα μαθήματα Πληροφορικής σε μαθητές Λυκείου (Παγκύπριες Εξετάσεις) καθώς και σε φοιτητές Πανεπιστημίου, με έμφαση στη σωστή κατανόηση και στη μεθοδική σκέψη.

Παγκύπριες Εξετάσεις – Πληροφορική

Συστηματική προετοιμασία με έμφαση:
• κατανόηση της ύλης
• σωστή αλγοριθμική σκέψη
• μεθοδολογία επίλυσης θεμάτων
• ανάλυση παλαιών θεμάτων Παγκυπρίων

Καλύπτουμε ενδεικτικά: ψευδοκώδικα, πίνακες, επαναλήψεις, δομές ελέγχου και συχνά λάθη εξετάσεων.

Φοιτητές & Γενική Πληροφορική

Υποστήριξη σε:
• Προγραμματισμό (C / C++ / Python)
• Λειτουργικά Συστήματα
• Αρχιτεκτονική Υπολογιστών
• Κατανόηση & debugging κώδικα

Μαθήματα δια ζώσης ή online, με έμφαση στην κατανόηση και στη σωστή οργάνωση μελέτης.


English text below

PhD Candidate in Computer Science – Private Tutoring & Pancyprian Exams

I am a PhD candidate in Computer Science offering private tutoring for high school students (Pancyprian Exams – Computer Science) and university students.

Pancyprian Exams – Computer Science

Structured exam preparation focusing on:
• understanding the syllabus
• correct algorithmic thinking
• exam-oriented problem-solving
• analysis of past Pancyprian exams

Topics include pseudocode, arrays, loops, control structures, and common exam mistakes.

University & General Computer Science

Support in:
• Programming (C / C++ / Python)
• Operating Systems
• Computer Architecture
• Code understanding and debugging

Lessons are available in person or online, with emphasis on understanding concepts rather than memorization.
Good-fit Instructor Guarantee
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