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Since November 2025
Instructor since November 2025
1 repeat student
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Cybersecurity Essentials – Theory and Hands-On Labs (Kali Linux)
From 22 C$ /h
This course introduces fundamental concepts of cybersecurity, covering theoretical knowledge and practical laboratory experience.
Students will learn essential cybersecurity principles including security threats, protection mechanisms, network security basics, and ethical security practices.
The course combines theory with hands-on practical training using Kali Linux, which is commonly used for security testing and learning cybersecurity tools.
Topics include understanding common cyber threats, basic defensive techniques, and introduction to security tools and environments. The course is designed to help students build awareness of cybersecurity concepts and develop practical skills.
Teaching is structured to provide clear explanation of theoretical foundations followed by guided practical exercises.
📚 Topics Covered
• Introduction to cybersecurity concepts
• Types of cyber threats and vulnerabilities
• Basic network security principles
• Ethical security practices
• Security awareness fundamentals
• Practical labs using Kali Linux tools
• Introduction to penetration testing concepts
Students will learn essential cybersecurity principles including security threats, protection mechanisms, network security basics, and ethical security practices.
The course combines theory with hands-on practical training using Kali Linux, which is commonly used for security testing and learning cybersecurity tools.
Topics include understanding common cyber threats, basic defensive techniques, and introduction to security tools and environments. The course is designed to help students build awareness of cybersecurity concepts and develop practical skills.
Teaching is structured to provide clear explanation of theoretical foundations followed by guided practical exercises.
📚 Topics Covered
• Introduction to cybersecurity concepts
• Types of cyber threats and vulnerabilities
• Basic network security principles
• Ethical security practices
• Security awareness fundamentals
• Practical labs using Kali Linux tools
• Introduction to penetration testing concepts
Extra information
💻 Students need a laptop for practical exercises.
✨ This course is suitable for beginners interested in cybersecurity.
✨ This course is suitable for beginners interested in cybersecurity.
Location
Online from Lebanon
About Me
With experience delivering more than 2500 coding and technology online training sessions across the UK, USA, Egypt, and Gulf countries, I have worked with students from different backgrounds and skill levels, helping them improve their technical knowledge and practical skills.
I am a university instructor specializing in computer science and information technology education. I have experience teaching and explaining complex technical concepts in a clear, structured, and practical manner.
I offer tutoring and training in programming languages including C++, Java, Python, and C#, as well as web development. I also teach computer networking, data communication, cybersecurity fundamentals, artificial intelligence (machine learning), robotics and introductory IoT concepts.
My teaching approach focuses on understanding core principles, solving practical problems, and applying knowledge through examples and exercises. I adapt my lessons according to the student’s level, whether beginner or advanced.
I am committed to helping students build strong technical foundations, improve their problem-solving skills, and gain confidence in working with technology.
All sessions are delivered in a supportive learning environment where questions and discussion are encouraged.
I am a university instructor specializing in computer science and information technology education. I have experience teaching and explaining complex technical concepts in a clear, structured, and practical manner.
I offer tutoring and training in programming languages including C++, Java, Python, and C#, as well as web development. I also teach computer networking, data communication, cybersecurity fundamentals, artificial intelligence (machine learning), robotics and introductory IoT concepts.
My teaching approach focuses on understanding core principles, solving practical problems, and applying knowledge through examples and exercises. I adapt my lessons according to the student’s level, whether beginner or advanced.
I am committed to helping students build strong technical foundations, improve their problem-solving skills, and gain confidence in working with technology.
All sessions are delivered in a supportive learning environment where questions and discussion are encouraged.
Education
• Bachelor’s Degree in Computer Science – GPA: 3.81
• Master’s Degree in Computer Science – GPA: 3.90
• Certified in Machine Learning Fundamentals and Engineering from IBM.
• Certified in Computer Fundamentals from ICDL program.
• Master’s Degree in Computer Science – GPA: 3.90
• Certified in Machine Learning Fundamentals and Engineering from IBM.
• Certified in Computer Fundamentals from ICDL program.
Experience / Qualifications
• University instructor with extensive experience in teaching computer science and information technology subjects.
• Delivered more than 2500 coding and technology training sessions to students across the UK, USA, and Gulf countries.
• Experienced in teaching programming languages including C++, Java, Python, and C#.
• Knowledgeable in computer networking, data communication, cybersecurity fundamentals, artificial intelligence basics, IoT, and robotics concepts.
• Skilled in explaining complex technical topics in a simple, structured, and practical manner.
• Focused on helping students develop problem-solving skills and strong technical foundations.
• Delivered more than 2500 coding and technology training sessions to students across the UK, USA, and Gulf countries.
• Experienced in teaching programming languages including C++, Java, Python, and C#.
• Knowledgeable in computer networking, data communication, cybersecurity fundamentals, artificial intelligence basics, IoT, and robotics concepts.
• Skilled in explaining complex technical topics in a simple, structured, and practical manner.
• Focused on helping students develop problem-solving skills and strong technical foundations.
Age
Preschool children (4-6 years old)
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Duration
60 minutes
The class is taught in
English
Skills
Availability of a typical week
(GMT -04:00)
New York
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
This advanced course builds on programming fundamentals using Python (programming language) and is designed for students who want to deepen their programming knowledge.
The course continues from functions and introduces advanced programming concepts including object-oriented programming principles such as polymorphism, inheritance, abstraction, and encapsulation.
Students will also learn data handling techniques, working with Python libraries, and developing structured programs using complex loops and data collections.
The course covers practical implementation of nested loops, nested lists, tuples, and dictionaries, as well as an introduction to data structures and algorithmic thinking.
Additional topics include graphical user interface development using libraries such as Tkinter, along with introductory concepts in data science and machine learning using Python.
Teaching combines theoretical explanation with real coding exercises to help students develop strong practical programming skills.
• Review of programming fundamentals and functions
• Object-Oriented Programming (OOP) concepts
• Polymorphism, inheritance, abstraction, and encapsulation
• Data structures basics
• Nested loops and complex data handling
• Lists, tuples, and dictionaries
• Introduction to algorithms
• Working with Python libraries
• GUI development using Tkinter
• Introduction to data science and machine learning concepts
The course continues from functions and introduces advanced programming concepts including object-oriented programming principles such as polymorphism, inheritance, abstraction, and encapsulation.
Students will also learn data handling techniques, working with Python libraries, and developing structured programs using complex loops and data collections.
The course covers practical implementation of nested loops, nested lists, tuples, and dictionaries, as well as an introduction to data structures and algorithmic thinking.
Additional topics include graphical user interface development using libraries such as Tkinter, along with introductory concepts in data science and machine learning using Python.
Teaching combines theoretical explanation with real coding exercises to help students develop strong practical programming skills.
• Review of programming fundamentals and functions
• Object-Oriented Programming (OOP) concepts
• Polymorphism, inheritance, abstraction, and encapsulation
• Data structures basics
• Nested loops and complex data handling
• Lists, tuples, and dictionaries
• Introduction to algorithms
• Working with Python libraries
• GUI development using Tkinter
• Introduction to data science and machine learning concepts
This course is designed for complete beginners who want to build strong basic computer skills and understand essential computing concepts.
Students will learn computer fundamentals including hardware components, input, processing, and output concepts, as well as basic operating system operations such as file management and system handling.
The course also introduces practical productivity skills using Microsoft Word, Microsoft Excel, Microsoft PowerPoint, Microsoft Outlook, and Microsoft OneDrive.
The teaching approach combines explanation and practical exercises to help students confidently use computers for academic and everyday tasks.
This course is ideal for beginners who want to start learning computer science concepts and improve their computer productivity skills.
Students will learn computer fundamentals including hardware components, input, processing, and output concepts, as well as basic operating system operations such as file management and system handling.
The course also introduces practical productivity skills using Microsoft Word, Microsoft Excel, Microsoft PowerPoint, Microsoft Outlook, and Microsoft OneDrive.
The teaching approach combines explanation and practical exercises to help students confidently use computers for academic and everyday tasks.
This course is ideal for beginners who want to start learning computer science concepts and improve their computer productivity skills.
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