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Since March 2025
Instructor since March 2025
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Coding and AI principles for children
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From 12 € /h
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🚀 Start your journey towards the future of technology with our integrated training programs!
We offer a comprehensive suite of training programs specifically designed to prepare you for the world of programming and artificial intelligence. From beginners to professionals, we provide you with the tools and skills you need to become part of the technology revolution.
Why choose our programs?
✅ Certified trainer with 8 years of international teaching experience
✅ A gradual and advanced curriculum that keeps pace with the latest technologies
✅ 70% practical application and 30% theoretical
✅ Real projects applicable in the labor market
✅ Certified certificates and continuous technical support
✅ Competitive prices and payment facilities
🎯 Invest in your future today and be part of the technological development!
Extra information
bring your own laptop
Location
location type icon
Online from Egypt
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
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
By the end of this lesson, the learner will be able to:

Getting to know the Python language

Understand what Python is and its most important uses.

Distinguishing Python from other programming languages.

Preparing the work environment

Install and run a Python development environment (such as Python IDLE or VS Code).

Running your first Python program.

Dealing with variables and data types

Defining and dealing with variables.

Understanding different types of data

Use input and output operations (input() and print()).

Perform arithmetic and logical operations.

Understanding the basic structures of programming

Using if-else statements.

Applying loops (for, while).

Working with functions in Python

Following naming and commenting conventions in Python.
Read more
– AI Career Essentials

Learn to leverage AI tools and specific professional skills essential for career success.
-The value of interpersonal skills in the workplace.
- How to use AI tools in your work.
- The essential feature of entrepreneurship and how to build your own personal brand.


Learn how to leverage AI tools and specific professional skills essential for career success.

The value of personal (soft) skills in the workplace.

How to use AI tools in your business.

The essential traits of entrepreneurship and how to build your personal brand.
Read more
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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.
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📌 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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Objective: To understand AI without fear, to use it to simplify one's life, to know how to identify digital traps, and to use Word, Excel, etc. without difficulty.

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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Moetez
Your application is running on your machine... and then what? Knowing how to containerize and automate deployments has become an expected skill for every developer, and it's often what junior candidates lack during interviews. I'm a full-stack engineer and I implement these pipelines in production (Docker, GitLab CI/CD, GitHub Actions, GCP Cloud Run, Kubernetes). I'll teach you how to do the same, on your own project.

Program (adapted to your level):

Docker basics: images, containers, Dockerfiles, volumes, networks
Docker Compose: Launch a complete app locally (front end + API + PostgreSQL database)
Optimizing your images: multi-stage builds, lightweight images, security best practices
Continuous integration: your first pipeline with GitHub Actions or GitLab CI
Automatic quality control: tests, linting, and formatting are performed with each push.
Build & registry: build and publish your images (Docker Hub, GCP Artifact Registry)
Continuous deployment: put your app online in the cloud (GCP Cloud Run), manage environment variables and secrets
Final project: a complete pipeline, from git push to online application, including database migrations

For who ?

Developers (Node.js, React, Python, PHP...) who want to master deployment
Students and career changers who want a solid project for their portfolio
Teams or freelancers who want to automate their production deployments

Prerequisites: knowledge of how to use Git and having already coded a small application (in any language).

Each session is practical: we work directly on your code, and you leave with a working pipeline.

Feel free to contact me to discuss it!
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Contact Abdelrhman
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1st lesson is backed
by our
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.
verified badge
Raouf
Objective: To understand AI without fear, to use it to simplify one's life, to know how to identify digital traps, and to use Word, Excel, etc. without difficulty.

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
Moetez
Your application is running on your machine... and then what? Knowing how to containerize and automate deployments has become an expected skill for every developer, and it's often what junior candidates lack during interviews. I'm a full-stack engineer and I implement these pipelines in production (Docker, GitLab CI/CD, GitHub Actions, GCP Cloud Run, Kubernetes). I'll teach you how to do the same, on your own project.

Program (adapted to your level):

Docker basics: images, containers, Dockerfiles, volumes, networks
Docker Compose: Launch a complete app locally (front end + API + PostgreSQL database)
Optimizing your images: multi-stage builds, lightweight images, security best practices
Continuous integration: your first pipeline with GitHub Actions or GitLab CI
Automatic quality control: tests, linting, and formatting are performed with each push.
Build & registry: build and publish your images (Docker Hub, GCP Artifact Registry)
Continuous deployment: put your app online in the cloud (GCP Cloud Run), manage environment variables and secrets
Final project: a complete pipeline, from git push to online application, including database migrations

For who ?

Developers (Node.js, React, Python, PHP...) who want to master deployment
Students and career changers who want a solid project for their portfolio
Teams or freelancers who want to automate their production deployments

Prerequisites: knowledge of how to use Git and having already coded a small application (in any language).

Each session is practical: we work directly on your code, and you leave with a working pipeline.

Feel free to contact me to discuss it!
Good-fit Instructor Guarantee
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