Computer Networking – Data Communication & Network Fundamentals

Von 22.77 € /Std

This course provides a comprehensive and professionally structured introduction to computer networking and data communications. It is designed for students who aim to build a strong technical foundation aligned with industry standards such as the Cisco Certified Network Associate (CCNA).

Course Topics Include:

Network architecture and reference models (OSI and TCP/IP)

IPv4 addressing, subnetting, CIDR, and basic IPv6 concepts

Switching fundamentals (MAC address tables, VLANs, trunking)

Routing principles and static routing configuration

TCP and UDP protocols, ports, and socket communication

Core network protocols (ARP, ICMP, DNS, DHCP, HTTP/HTTPS, FTP)

Network infrastructure devices (routers, switches, firewalls, wireless access points)

Introduction to network security fundamentals

Basic network troubleshooting methodologies and CLI analysis

The teaching methodology combines structured theoretical explanation with practical examples to ensure students understand how real-world networks operate in enterprise and campus environments. Packet flow analysis and scenario-based exercises help bridge theory with practical implementation.

Target Audience:

High school and university students in Computer Science, Information Technology, or Engineering

Beginners preparing for CCNA certification

Individuals seeking a strong networking foundation before advancing to cybersecurity, cloud computing, or advanced infrastructure studies

By the end of the course, students will confidently understand how data travels across networks, how routing and switching function, and how modern network infrastructures are designed, implemented, and managed.

Zusätzliche Informationen

💻 Students only need a laptop for the session.
🖥️ It is recommended to have an operating system installed (Windows, Linux, or macOS).
📶 Any additional software or tools needed will be explained before or during the lesson.

✨ Whether you are a beginner or want to improve your networking knowledge, you are welcome to join and start learning with confidence!

Ort

Online aus Libanon

Über mich

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.

Bildung

• 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.

Erfahrung / Qualifikationen

• 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.

Alter

Kinder (7-12 Jahre alt)

Jugendliche (13-17 Jahre alt)

Erwachsene (18-64 Jahre alt)

Seniorinnen und Senioren (65+ Jahre alt)

Unterrichtsniveau

Anfänger

Mittel

Fortgeschritten

Dauer

60 Minuten

Unterrichtet in

Englisch

Fachkenntnisse

Programmierung

Networking

Edv

Verfügbarkeit einer typischen Woche

(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

Computer Basics & Productivity Skills – Fundamentals, OS, and Office Applications

18.39 € /Std

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.

Cybersecurity Essentials – Theory and Hands-On Labs (Kali Linux)

22.77 € /Std

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

Manoj

4.95

(21)

I am a Professional Full Stack Developer with over 15 years of hands-on experience in software engineering, system design, and artificial intelligence.
I’ve worked across frontend, backend, DevOps, and AI, building enterprise-grade systems for real-world applications — from large-scale microservices to cognitive AI platforms.

I’m passionate about teaching the real, modern way of coding — combining deep technical foundations with today’s most advanced technologies: Generative AI, Agentic systems, RAG architectures, cloud automation, and intelligent DevOps.

Whether you are a beginner exploring your first “Hello World,” a professional improving your stack, or a researcher/developer exploring AI systems, I can guide you step-by-step — conceptually, practically, and strategically.

🧩 What You Will Learn
🖥️ Front-End Development

Master how to build responsive, interactive, and high-performance interfaces:

HTML / HTML5 – Structure, semantics, forms, accessibility

CSS / CSS3 / SCSS – Layout, animations, responsive design, Flexbox, Grid

Bootstrap / Tailwind / Material UI – Rapid design frameworks

JavaScript (ES6+) – Functional programming, event loop, closures, async/await

TypeScript – Strong typing, interfaces, decorators, generics

React.js / Next.js – Components, hooks, state management, routing, APIs

Angular (1.x to 17) – Modules, dependency injection, RxJS, advanced architecture

Vue.js (optional) – Reactive programming, lifecycle management

jQuery / AJAX – Legacy support and backend communication

Web Performance – Lighthouse, Core Web Vitals, PWA, caching strategies

⚙️ Back-End & Enterprise Development

Build scalable, secure, and intelligent server-side systems:

C / C++ / Data Structures / Algorithms / OOPS

Java / J2EE / Spring / Spring Boot / Spring Cloud / Hibernate / Struts / Wicket

Microservices Architecture – API gateway, service registry, inter-service communication

Node.js / Express / NestJS – Modern JavaScript/TypeScript backend

REST & SOAP Web Services – API design, security, documentation (Swagger / Postman)

Python (Flask / FastAPI) – REST APIs, ML pipelines, automation

Shell Scripting (Linux/Unix) – Automation, cron jobs, log parsing, DevOps scripting

PHP / Laravel / CodeIgniter – Classic web backend development

Containerization & Orchestration: Docker, Kubernetes, Helm

CI/CD & Cloud: Jenkins, GitHub Actions, Azure DevOps Pipelines

☁️ Cloud & DevOps Mastery

Learn to build, deploy, and scale applications on the cloud:

AWS (EC2, S3, Lambda, DynamoDB, API Gateway, ECS)

Azure (App Services, Functions, CosmosDB, DevOps)

Google Cloud (GCP, Vertex AI, BigQuery, Cloud Run)

Monitoring & Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Grafana, Prometheus

Infrastructure as Code (IaC): Terraform, AWS CDK, Azure Bicep

Version Control & Collaboration: Git, GitHub, GitLab, Bitbucket

CI/CD Pipelines: Build, test, deploy automation, rollback, release management

📱 App Development

Develop mobile and hybrid apps end-to-end:

Android (Java/Kotlin) – UI/UX, activity lifecycle, API integration

Hybrid Frameworks: Ionic, Cordova, React Native

Progressive Web Apps (PWA) – Offline-first, caching, mobile optimization

Firebase Integration: Auth, Firestore, Cloud Messaging

🤖 Artificial Intelligence & Machine Learning

Learn how modern AI systems are built and deployed:

AI Fundamentals: Neural networks, supervised/unsupervised learning

Machine Learning with Python: scikit-learn, TensorFlow, PyTorch

Natural Language Processing (NLP): Transformers, BERT, GPT

Computer Vision: OpenCV, YOLO, Image Classification

AI APIs & Integrations: Google DialogFlow, Azure Cognitive Services, OpenAI API

🧬 Generative AI, RAG & Agentic Systems

Special focus on real-world AI integration and automation:

Generative AI Models (GPT, Claude, Gemini, Llama, Mistral) – Practical implementation

Prompt Engineering – Designing powerful, reusable prompt frameworks

Retrieval-Augmented Generation (RAG) – Hybrid search + generation architectures

Agentic AI Systems – Building autonomous multi-agent workflows (e.g., AutoGPT, CrewAI)

Agentic RAG – Contextual memory, chaining, and reasoning systems

LangChain / LlamaIndex – RAG pipelines, document loaders, embeddings, vector DBs

Vector Databases: Pinecone, Chroma, Weaviate, FAISS

Knowledge Graphs & Context Management – Enterprise data linking with RAG

AI App Deployment: FastAPI + Streamlit + LangServe + Docker

Copilot & AI Tools: GitHub Copilot, ChatGPT API, Code Interpreter, Vertex AI Studio

Google AI Developer Kit (ADK) – Edge AI, TensorFlow Lite, Coral, and model serving

Voice AI & Conversational Design: Dialogflow CX, OpenAI Assistants, ElevenLabs

🔬 Data, Testing & Quality

Database Systems: MySQL, PostgreSQL, MongoDB, Oracle, DB2, Redis

Database Design: ERD, normalization, indexing, performance tuning

Testing Tools: JUnit, Mockito, Selenium, Cypress, Postman

TDD / BDD Practices: Unit, integration, and end-to-end testing

Logging & Monitoring: ELK, Splunk, Prometheus

Performance Optimization: Profiling, caching, concurrency

🧩 Operating Systems & Scripting

Windows / Linux / Ubuntu / Unix Administration

File Systems, Permissions, Networking, Process Management

Shell Scripting / Automation / Log Analysis

System Security and SSH Hardening

🧠 Bonus Topics

Mathematics for Programmers – Logic, combinatorics, probability, graph theory

Game Development Basics: Unity, Phaser.js, HTML5 Canvas

AI Ethics, Data Privacy, Responsible AI Design

Automation Projects & Web Crawling / Scraping: BeautifulSoup, Selenium, Puppeteer

No-Code / Low-Code Integrations: Zapier, Make, AI automations

Arianit

4.95

(21)

Struggling with MATLAB? Whether you're a beginner or tackling advanced simulations, our one-on-one online tutoring is here to help you master MATLAB step-by-step. We offer personalized lessons tailored to your level, covering:

Basics of MATLAB programming
Data analysis & visualization
Numerical methods & simulations
Signal processing & control systems
MATLAB for engineering, math, and science courses
Help with assignments, projects, and exam prep

Khalil

4.95

(21)

If you’ve ever felt that science and math are difficult, it’s probably because no one showed you how to think like a problem solver.
In my classes, you’ll learn not just formulas or code but how to truly understand concepts, apply them, and build strong logical intuition.

I teach:
• 🔢 Mathematics: From algebra and calculus to applied problem-solving for real-world use.
• 💻 Computer Science: Coding fundamentals (Python, C++), algorithms, and logical thinking for beginners and intermediate learners.
• ⚛️ Physics: Mechanics, thermodynamics, and practical examples that make abstract ideas simple and visual.

As a Software Engineer and Master’s student in Engineering at Nagoya University, I bring both academic knowledge and hands-on experience from real projects. My teaching approach is interactive, visual, and deeply focused on understanding over memorization.

Let’s turn complex problems into clear, step-by-step insights — and make learning something you genuinely enjoy.

Mihai

4.95

(21)

Docker is an essential tool for any developer nowadays. It allows flexibility and speeds up development.
Whether you would like to start learning containerization or you would like to take your knowledge to the next level, I can help you. Docker is a great tool to not only deliver software but also to play around with different technologies and test multiple releases without burdening your local environment.

Hasmik

4.95

(21)

I am a graduate in data science with R programming skills. I am able to help the students with assignments, and analysis with their master thesis. My approach is very student-oriented and I explain the subjects in a detailed way so that the students understand the main idea.

Jaydip

4.95

(21)

I can help you with your python project works. With live coding sessions, tips, and tricks you will have a chance to improve your knowledge or complete your coding project/assignments with great insight into the code. I am working with the following libraries in my everyday work AI developer:

Numpy
Pandas
Scipy
Scikit-learn
Tensorflow / Keras
Pytorch
OpenCV
Tesseract
Pillow
Tkinter
Flask
selenium
Matplotlib and many more...

Abdallah

4.95

(21)

After Completing Our Course:
- Career Advancement: Gain certifications like CCNA and MCSA, which are highly valued in the IT industry and can significantly boost your career prospects.

- High Earning Potential: IT professionals with certifications in networking and cloud computing often command higher salaries and have better job security.

- Versatile Skill Set: Acquire a comprehensive understanding of networking, cloud services, and IT operations, making you a valuable asset in various IT roles.

- Hands-On Experience: Develop practical skills through real-world scenarios and labs, preparing you to tackle complex IT challenges with confidence.

- Cutting-Edge Knowledge: Stay updated with the latest technologies and best practices in networking and cloud computing, ensuring you remain competitive in the job market.

- Global Opportunities: With expertise in networking and IT operations, you can explore job opportunities worldwide, expanding your professional horizons.

- Professional Networking: Connect with industry experts and peers, building a strong professional network that can support your career growth.

### Course Description: Networking and IT Operations

#### Overview
This comprehensive course is designed for individuals seeking to enhance their skills in networking and IT operations. The curriculum covers essential certifications such as CCNA, MCSA, and Azure Administration, along with in-depth knowledge of cloud computing. The course is available both online globally and offline in Egypt, providing flexible learning options to suit your needs.

#### Course Objectives
- **Networking Fundamentals**: Understand the basics of networking technologies, including network topologies, protocols, and hardware.
- **CCNA Certification**: Gain the skills needed to configure, manage, and troubleshoot Cisco networks, preparing you for the CCNA certification exam3.
- **MCSA Certification**: Learn to manage and maintain Windows Server environments, covering key topics required for the MCSA certification.
- **Azure Administration**: Develop expertise in managing Azure subscriptions, securing identities, configuring virtual networks, and implementing storage solutions12.
- **Cloud Computing**: Explore the principles of cloud computing, including deployment models, service models, and cloud security.

#### Key Topics
1. **Networking Technologies**
- Network topologies and protocols
- IP addressing and subnetting
- Routing and switching fundamentals

2. **Cisco Certified Network Associate (CCNA)**
- Network access and IP connectivity
- Security fundamentals
- Automation and programmability

3. **Microsoft Certified Solutions Associate (MCSA)**
- Installation, storage, and compute with Windows Server
- Networking with Windows Server
- Identity with Windows Server

4. **Microsoft Azure Administration**
- Managing Azure subscriptions and resources
- Implementing and managing storage
- Configuring and managing virtual networks
- Monitoring and backing up Azure resources

5. **Cloud Computing**
- Cloud service models (IaaS, PaaS, SaaS)
- Cloud deployment models (public, private, hybrid)
- Cloud security and compliance

#### Learning Outcomes
By the end of this course, participants will be able to:
- Design, implement, and manage network infrastructures.
- Configure and troubleshoot Cisco network devices.
- Administer Windows Server environments effectively.
- Manage and secure Azure cloud environments.
- Understand and apply cloud computing concepts in real-world scenarios.

#### Delivery Method
- **Online**: Accessible from anywhere in the world, providing flexibility for remote learners.
- **Offline**: In-person classes available in Egypt, offering hands-on experience and direct interaction with instructors.

#### Target Audience
This course is ideal for:
- IT professionals looking to advance their careers in networking and cloud computing.
- Students preparing for CCNA, MCSA, and Azure certification exams.
- Individuals seeking to gain practical skills in IT operations and cloud management.

#### Prerequisites
- Basic understanding of computer networks and operating systems is recommended.
- No prior certification is required, but a willingness to learn and engage with the material is essential.

Ready to take your IT skills to the next level? Enroll now and start your journey towards becoming a certified networking and cloud computing professional!

Sammy

4.95

(21)

🐍 Learn Python and Data Science with an experienced instructor.

🖥 I offer customised private lessons for beginners and advanced students.

👨🏻‍🏫 With two years of experience teaching at a public school for data science and data analysis, I will help you understand concepts such as data processing, machine learning and statistical analyses in a practical way.

🤖 Whether you want to improve your programming skills, analyse data efficiently or develop your own machine learning models, the lessons will be tailored to your individual needs.

Baia

4.95

(21)

Code Your Ideas Into Reality 💻🚀
Want to build your own website or start a tech career? This class is perfect for absolute beginners who want to learn Python and use it to build real, working web apps with Django. You'll go from writing your first line of code to deploying complete projects - step by step, clearly explained, and handsOn.

✨ 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!

Kevin

4.95

(21)

For many years, I have successfully supported Swiss students in the fields of statistics, data analytics, machine learning, and artificial intelligence. I have gained extensive experience using R as a statistical programming tool and know exactly what students in Switzerland are required to do. I have numerous sample projects, datasets, and exam questions at my disposal and have prepared many students for their assignments and exams in a targeted, sustainable, and highly successful manner. My focus is on explaining complex statistical procedures, algorithms, and data analyses in an understandable way, demonstrating them in a practical way, and building confidence in the secure handling of data. My goal is not only to improve grades, but also, in the long term, to develop a deep understanding of data-driven questions and modern technologies such as machine learning and AI, which are crucial in later professional life.

► How do I teach?

►I attach great importance to ensuring that my students truly understand statistical concepts, data analytics methods, machine learning, and AI models, rather than just applying them mechanically – this is how we achieve sustainable success in statistics, data analytics, and modern technologies.

►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.

►With patience and clarity, I break down complex statistical analyses, machine learning models, and data processes into their essential components so that no student is overwhelmed and can build a solid foundation in statistics, data analytics, and AI.

►I am convinced that trusting collaboration is crucial to reducing uncertainty in statistics or data science and creating a productive learning atmosphere.

►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.

Kian

4.95

(21)

Data science, statistics & mathematics – clearly explained, personally supported.
My name is Kian, an experienced tutor from Bern. I support students, career starters, and professionals on their journey into the data-driven world—whether in their studies, projects, or everyday work.

With my structured, understandable, and motivating approach, I'll help you not only solve problems but also understand data, recognize connections, and make informed decisions. My lessons are personalized, efficient, and at eye level.

Who I am – and why I teach:
I teach in Bern and successfully completed the MAS program in Statistical Data Science at the University of Bern, focusing on statistics, mathematics, and data science. For several years, I have been passionately teaching, both in academic contexts and for professionals who want to think and work more data-driven.

In parallel to my teaching, I have implemented numerous data science projects – from exploratory analysis and data modeling to decision support in a business context. This combination of theory and practice makes my teaching particularly close to reality while remaining accessible.

I love making complex topics tangible, creating aha moments, and empowering people to handle data confidently. For me, tutoring isn't just about imparting knowledge—it's about developing their minds on equal terms.

-What you can expect from me:
One-to-one lessons with a focus on data comprehension, statistics & analytical thinking
Support with projects, assignments, exams or getting started in the data world
Practical explanations – step by step and adapted to your everyday life
Teaching modern methods for data analysis, modeling & interpretation
Long-term strategies for problem-solving & structured thinking
Flexible lessons in Bern or online – personal, competent & reliable

Why I can help you understand data science:
Because I work at the interface between science and practice. I know how quickly you can get lost in formulas and tools—and I'll help you see the common thread:
How data tells stories, how you analyze it, and how you make smart decisions.

With me, you won't just learn methods—you'll learn how to think with data. Whether in your studies or in your career, I'll guide you in truly understanding data and applying it confidently.
Learn data analysis.
Analyze and model complex data sets – understandable, practical and with structure.
If you're ready to get to grips with data, I'm ready to guide you.

Danilson

4.95

(21)

This course is designed for students who want to gain a solid understanding of basic computer science concepts. It covers the logic behind computer systems, starting with the inner workings of a computer and progressing to topics such as networking, operating systems, and basic programming.

Whether you're considering a career in technology or simply want to better understand the digital world around us, this course will give you the tools you need to navigate the information age.

Mohamed

4.95

(21)

I hold a Master's degree in Computer Science from Germany. I offer tutoring in German, mathematics, and computer science for middle and high school students.

Materials:

German: Grammar, Conversation, Study Preparation

Mathematics: Fundamentals, Logic, Exercises, Exam Preparation

Computer Science: Introduction to Programming, Simple Algorithms, Project Assistance

Tommie

4.95

(21)

🐍 Python Programming – Learn by Doing
Course Overview
This class is designed for anyone who wants to learn Python from scratch or strengthen their coding skills. Whether you’re a complete beginner or looking to apply Python in data analysis, automation, or web development, this course will guide you step by step with practical examples and projects.

What You’ll Learn
✅ Python basics: variables, data types, operators, and control flow

✅ Functions and modules: writing reusable, clean code

✅ Working with files and data (CSV, JSON, text)

✅ Object-Oriented Programming (OOP) concepts

✅ Libraries for real-world tasks (e.g., pandas, matplotlib)

✅ Problem-solving strategies and debugging techniques

Teaching Style
Hands-on learning: You’ll write code in every session.

Project-driven: Build mini-projects like calculators, data visualizations, or simple web apps.

Adaptable pace: Lessons tailored to your level and goals (academic, professional, or hobby).

Who Is It For?
Students preparing for exams or computer science courses

Professionals wanting to automate tasks or analyze data

Curious learners who want to start coding as a hobby

Practical Details
📍 Online or in-person (depending on your location)

⏱ Flexible scheduling to fit your availability

🧑‍🏫 Personalized guidance with clear explanations and exercises

Erik

4.95

(21)

Introduction to Linux as a work environment course.
This course is designed for people who want to use Linux productively in their daily work, whether as an alternative to Windows or macOS, or as their first introduction to free and open-source operating systems. We start from scratch and explain in an easy-to-understand way how a Linux system works, how the desktop, file system, and user management are organized, and how to install and use common software for everyday tasks. The goal is not just to learn how to "use" Linux, but to understand it well enough to work independently, securely, and efficiently.