Computer Science, Programming & Cybersecurity: Practical Skills for Real-World Technology

From 23.9 C$ /h

Technology is everywhere, and understanding how it works and how to protect it can open doors to exciting opportunities. I’ve designed this course as a hands-on journey into networking, programming, and cybersecurity, where you don’t just learn theory, you practice real skills that matter in the digital world.

In this course, I’ll guide you through building and analyzing networks, writing programs with Python and other languages, and exploring how systems communicate and interact. You’ll dive into cybersecurity fundamentals, learn to identify vulnerabilities, understand how attacks happen, and practice defending systems like a pro.

Through interactive exercises, practical examples, and real-world scenarios, I’ll show you how hackers think, how organizations respond to threats, and how to secure systems effectively.

By the end of the course, you’ll have the confidence, knowledge, and hands-on experience to tackle networking, programming, and security challenges and apply these skills in your studies, career, or personal projects.

Extra information

Bring your own laptop with administrative access. Basic familiarity with using a computer is helpful, but no prior programming or cybersecurity experience is required. I’ll provide all the tools, guidance, and materials you need to practice networking, programming, and cybersecurity exercises during the class. Internet access is recommended for some practical exercises and research.

Location

Online from Jordan

About Me

I am a cybersecurity engineer with over 3 years of real-world experience in both offensive and defensive security. I enjoy teaching because I like breaking down complex technical topics into clear, practical concepts that students can actually apply. My teaching style is patient, structured, and hands-on. I focus on understanding why things work, not just memorizing steps or tools.

When I teach, I adapt to the student’s level and goals. Whether you are a beginner starting from zero, a university student, or someone preparing for cybersecurity certifications or a job, I create lessons that are clear, interactive, and focused on real-world scenarios. I believe learning is most effective when students feel comfortable asking questions and making mistakes.

I enjoy working with motivated students who want to learn practical skills, improve their problem-solving abilities, and build confidence in cybersecurity, networking, and ethical hacking. My goal is to help students not only pass exams, but also think like security professionals.

Education

Bachelor of Science in Computer Science
University of the People – Pasadena, California, USA
GPA: 3.63 / 4.0
Graduated with strong focus on cybersecurity basics.

Experience / Qualifications

I have over 3 years of professional cybersecurity experience, working with government entities, enterprises, and private organizations. I have conducted 150+ penetration tests and vulnerability assessments on web applications, APIs, networks, and infrastructure systems.

My experience includes:

Teaching and explaining ethical hacking, penetration testing, and vulnerability assessment

Practical training on web security, API security, and network security

Incident response, SIEM monitoring, and threat detection

Using industry-standard tools such as Burp Suite, Nmap, Metasploit, Nessus, Wireshark

Programming and scripting with Python, SQL, PHP, and JavaScript

Helping students prepare for certifications such as eJPT, eWPT, CRTP, and entry-level cybersecurity roles

I hold multiple cybersecurity certifications, including:
Certified Red Team Professional (CRTP)
eLearnSecurity Web Application Penetration Tester (eWPT)
eLearnSecurity Junior Penetration Tester (eJPT)
Certified in Cybersecurity (ISC2)
Certified AppSec Practitioner (CAP)
Fortinet and Network Security certifications

I focus on practical learning, real attack scenarios, labs, and step-by-step guidance to help students gain skills they can confidently use in real environments.

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

30 minutes

45 minutes

60 minutes

90 minutes

120 minutes

The class is taught in

English

Arabic

Turkish

Skills

Computer science

Information technology

Security

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Mohamed

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What You’ll Learn:
🐍 Python Basics:

Syntax, variables, data types, and operators
Input/output, loops (for, while), and conditionals (if-else)

📚 Core Programming Concepts:

Functions, modules, and error handling
Lists, tuples, dictionaries, and sets

🎮 Real-World Applications:

File handling (read/write files)
Web scraping (intro to BeautifulSoup/Requests)
Basic game development (with Pygame)

🔢 Next-Level Skills (Towards "Hero" Level):

Object-Oriented Programming (OOP) – Classes & Objects
Working with APIs (fetching data from the web
Intro to data analysis (Pandas & Matplotlib basics)
Mini-capstone project to showcase skills

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The question isn't "should they?" it's "how do we do it intelligently?"

In this course, your child will discover:
✓ What AI actually is: not magic, not mystery. How machines think, what they can do, what they can't
✓ How ChatGPT really works: not just "ask a question and get an answer," but why it responds that way, where it fails, when to trust it
✓ What LLMs are (Large Language Models): in language they understand, not tech jargon
✓ Create with AI: custom avatars, interactive stories, real projects using real tools
✓ Think critically about AI: Bias, privacy, creativity. What does AI do better than humans? What can't it do?
✓ Real-world applications: How AI transforms medicine, education, art, gaming, everyday life

Why this is different:
Most AI courses for kids teach "here's the tool, use it." I teach how to think about AI.
Your child will learn to see AI not as black magic or a solution to everything, but as a powerful tool with real limits.
And, more importantly: that they can control how they use it.

What they take home:
Real projects they created (custom avatar, interactive app, analysis of a real AI case study). A genuine understanding of how it works. And the ability to use AI responsibly and creatively.

Format: Online | 60–90 min sessions | Flexible, adapted to their age and pace

For curious kids asking "How does ChatGPT actually know things?"

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- Mathematics
- Chemical Physics,
- Technology.

My courses are aimed at students in the French system from 6th to 12th grade (Speciality: Mathematics, PC).

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Hi!

Welcome to my class on Matlab programming! As a PhD student in Geophysics my main tool is my computer. In order to do science one needs to know how to program. I often use Matlab in order to analyze data, run numerical models, plot results and much more. So, let's embark on the journey of learning Matlab and explore its diverse capabilities together!

For beginners:
I have designed it for absolute beginners to become at ease with the language within 5 sessions of 1h. Message me to know the 5 classes curriculum and I will be more than happy to share it with you!

For intermediate users:
If you already know the basics of Matlab but want to go more in-depth on certain packages this is the right place! Message me and we can discuss what your needs are!

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Code Your Ideas Into Reality 💻🚀
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✨ No experience needed.
🧠 Learn by doing - real apps, real logic.
🌍 Build skills for school, work, or freelance life.

Let’s turn your curiosity into code. First session gets you started!

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Meriem

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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.

Mazuba

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Learn Computer Science through hands-on lessons that cover both theory and programming.
I offer regular lessons to build your understanding of coding (Python/Java) and computer systems, plus exam-focused sessions for IGCSE (0478) and A Level (9618) students.

You’ll learn to:

Understand theory topics like algorithms, logic gates, and networks

Write, test, and debug programs step-by-step

Solve structured past paper questions confidently

Prepare effectively for both Paper 1 (Theory) and Paper 2 (Programming)

Lessons are interactive, practical, and tailored to your school progress and exam goals.

Raouf

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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?

Wissem

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This course isn't about shortcuts or "machine-done work." It focuses on understanding AI as a tool and learning to use it consciously and responsibly. We work with concrete examples from the university setting and show how AI can support learning without compromising academic integrity.

One of the course's central themes is AI as a research tool. We'll explore how to define topics, formulate effective research questions, and structure a project from the outset. AI can help gain an overview and organize ideas, but we'll also clearly analyze its limitations and the need for critical self-reflection.

From there, we move on to academic writing. From developing outlines and arguments to improving style and clarity, AI can be a valuable tool. We demonstrate how to work with drafts, detect inconsistencies, and avoid common errors that often cause problems in academia.

Another section is dedicated to learning with AI. Explaining complex texts, clarifying concepts, reviewing content, and checking one's own understanding are especially valuable uses if the right questions are asked. The goal is to use AI actively, not passively.

Finally, we use AI as an intellectual sparring partner. Not as a substitute for our own thinking, but as an interlocutor that helps to compare arguments, raise objections, and explore other perspectives. This is where AI's greatest real value often lies: thinking better, not thinking less.

The course is designed for students of any discipline. No prior knowledge is required. The goal is to gain confidence in using AI and learn how to integrate it productively and responsibly into university studies.

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With professional experience as a DevOps and Site Reliability Engineer working on large-scale cloud and e-commerce systems, I focus on practical, real-world learning rather than only theory.

Topics I can teach include:

Programming fundamentals (Python basics)

Linux and command line essentials

DevOps introduction

Docker and Kubernetes concepts

Cloud computing basics (AWS fundamentals)

Computer Science fundamentals

IT interview preparation and career guidance

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Ideal for university students, beginners in IT, or anyone wanting to start a career in technology.

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You don't need any prior programming experience. We'll start with the basics and progress step by step until you're able to create interactive projects on your own. If you have prior experience, we can start where you're comfortable or where you need assistance.

What will you learn?
Programming Fundamentals
Variables, data types, and operators
Conditionals and loops
Reusable functions and structures
Arrays and objects
DOM Manipulation
Events and forms
Introduction to asynchrony (promises and async/await)
API consumption
Development of practical projects

Methodology
The course is 100% practical:
Live programming
Guided exercises
Mini-projects in each module

The goal is not only to understand the theory, but to learn to think like a programmer and acquire a solid foundation to move towards modern frameworks like React or Node.js.

Who is it addressed to?
People with no prior experience
Students who want to strengthen their programming
Professionals who want to get into web development
Anyone interested in the world of technology

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Depending on your level, we can work on:
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• OWASP Top 10 at a beginner's level
• The different phases of PTES
• Understanding risk analysis and vulnerabilities
• Basic web application attacks in theory
• Preparation for beginner labs like TryHackMe
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These classes are designed for absolute beginners or students who want to take their first steps in web security.

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• Creation of interactive dashboards
• Best practices in data design and storytelling
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• Managers
• Entrepreneurs
• Professionals wishing to improve their data skills

Each session is personalized according to your objective: academic project, professional dashboard, KPI optimization or preparation for a Data position.