Become a Professional Full-Stack Developer: Node.js, TypeScript, Laravel & DevOps

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From 19 C$ /h

Do you want to learn to program, develop modern web applications, or prepare for a career in software development?

I am a software engineer with over 5 years of professional experience in the design, development, and deployment of applications used in real-world environments. I mentor students, junior developers, and professionals looking to acquire practical skills sought after in the job market.

Unlike purely theoretical training, my courses are oriented towards practical application, methodology and real-world projects.

We can work together on:

• Modern JavaScript and TypeScript
• Node.js and Backend Development
• Professional Laravel and PHP
• REST APIs and modern architectures
• SQL and NoSQL databases
• Docker and containerization
• DevOps, CI/CD and automation
• Git and best collaboration practices
• Software architecture and clean code
• Preparation for technical interviews
• Support for academic or professional projects
• Creation of a valuable technical portfolio

My method involves adapting each lesson to the student's objectives. Whether you are a complete beginner, a computer science student, or a developer wishing to progress to a professional level, we will build a personalized learning plan.

My goal is not just to teach you how to write code, but to pass on to you the methods, best practices, and working logic used daily by professional software engineers.

At the end of your apprenticeship, you will be able to design, develop, test and deploy your own applications with confidence and autonomy.

Extra information

The courses are fully customized according to your level and objectives.

You can bring:
• Your personal exercises or projects
• Your specific technical difficulties
• Your university projects
• Your professional or career change goals

A computer with an internet connection is recommended for practical lessons.

Location

Online from Tunisia

About Me

Hello and welcome,

I am a software engineer with over 5 years of experience in developing modern web applications and solutions used in professional environments.

Throughout my career, I have worked on projects involving Node.js, TypeScript, Laravel, modern backend architectures, databases, and DevOps practices such as Docker, CI/CD, and deployment automation.

What I find most exciting about teaching is conveying much more than just technical knowledge. My goal is to help each student develop a genuine programming mindset, understand best practices in the field, and become more independent.

I adapt to each profile: beginners wishing to discover development, computer science students preparing for their exams or projects, developers wanting to deepen their technical skills, or professionals retraining for digital professions.

My method is based on three principles:

• Understand before you memorize
• Practice through concrete projects
• Acquire the methods used by professional software engineers

During our courses, we will work on real-life cases, exercises tailored to your level, and progressive projects that will allow you to acquire directly applicable skills.

I am convinced that anyone can learn to program with the right approach, appropriate support and a clear methodology.

Looking forward to supporting you in your progress and the achievement of your goals.

Education

Computer Engineer

• Engineering Degree in Computer Science – TEK-UP
• Specialization in Software Development and Computer Systems
• 2021

Continuing education and professional development in the following areas:
• Backend and Full-Stack Development
• Software Architecture
• DevOps and Cloud Computing
• Databases and distributed systems
• Agile methodologies and best development practices

Experience / Qualifications

• More than 5 years of professional experience in software engineering.

• Development and maintenance of high-traffic web applications using Node.js, TypeScript and Laravel.

• Design and development of secure and efficient REST APIs.

• Setting up CI/CD pipelines, automating deployments and Docker environments.

• Experience in scalable software architecture, clean code and good development practices.

• Mentoring junior developers and sharing knowledge within technical teams.

• Expertise in analyzing complex problems, debugging, and optimizing performance.

Key skills:

✓ Node.js
✓ TypeScript
✓ JavaScript
✓ Laravel
✓ PHP
✓ SQL & Databases
✓ Git & GitHub
✓ Docker
✓ DevOps & CI/CD
✓ REST APIs
✓ Software Architecture
✓ Clean Code
✓ Full-Stack Development

Age

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

90 minutes

The class is taught in

French

English

Arabic

Skills

Computer programming

Web development

Information technology

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

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As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others.

I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly.

Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

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- Descriptive and inferential statistics (the ones that actually matter)
- Data cleaning, exploration, and visualization
- Regression, classification, and intro to machine learning
- Time series and forecasting basics
- R for statistical analysis and academic research

Who this is for:
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* In addition, learning programming allows the development of algebraic, algorithmic and computational thinking. Programming also helps to improve and develop students' sequencing ability, as well as their communication skills. Thus, there are several advantages to teaching programming, but the important thing is to remember that this learning teaches students that digital is not only for entertainment, but that it is possible to become creators. active and creative content.

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At the end of the training, you will be able to:

Create a showcase website or a professional blog

Manage content (text, images, menus)

Customize the site's appearance

Install and configure useful extensions

Understanding the basics of security and backups

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Become a Trading Pro with NinjaTrader!

Are you passionate about trading and want to master one of the most powerful trading platforms on the market? If so, this ad is for you!

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My courses are designed for traders of all levels, from complete beginners to experienced professionals. Here's what you can expect:

- In-depth training on using NinjaTrader, including navigating the interface, executing orders, and analyzing the markets.
- Detailed instructions on creating and optimizing automated trading strategies using C#.
- Practical advice on using custom indicators to refine your technical analysis and make informed trading decisions.

Whether you are looking to generate additional income through trading or make trading your full-time career, my courses will provide you with the knowledge and skills needed to succeed in the financial markets.

Don't miss this opportunity to become a true trading expert with NinjaTrader! Contact me today to reserve your spot and begin your journey to financial success.

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1. Mechanics:
Kinematics: Study of rectilinear and circular movements, position vectors, speed and acceleration.
Dynamics: Newton's laws, work and energy, kinetic energy theorem.

2. Electromagnetism / Electrokinetics:
Electrostatics: Electric charges and fields, electric potential, capacitance.
Magnetostatics: Magnetic fields, Lorentz forces, electromagnetic induction.
Alternating Currents: RLC circuits, resonance, impedance.

3. Thermodynamics:
Principles of thermodynamics: Internal energy, heat, work, first and second principles.
Ideal and real gases: Equations of state, thermodynamic transformations.

4. Industrial sciences:
Automatic Linear, Kinematic, Static.

For more information and to register for the preparation session, please contact me.

Good preparation and success in your studies!

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- finance and data projects
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- problem solving and coding logic

No previous programming experience is required.

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Hello, My name is Ahmed & I'm working as a TA in Ain Shams University.
I am available for assignments, Homeworks, exams, quizzes, projects, and labs.

Expert Programming & Web Development Tutor | Python, Java, C#, C++, Frontend, Backend, Databases, AI & Data Science

💻 Programming Languages:
✔ Programming: C, C++, Java, Python, PHP, JavaScript, HTML
✔ Mathematics: Linear Algebra, Calculus, Discrete Math, Probability, Optimization
✔ Object-Oriented Programming (OOP): Encapsulation, Polymorphism, Inheritance, Abstraction, Design Patterns
✔ Machine Learning: Neural Networks, Regression, Classification, Clustering, Reinforcement Learning
✔ Data Structures & Algorithms (DSA): Trees, Graphs, Linked Lists, Stacks, Queues, Priority Queues, Hash Tables, Tries, Heaps, Disjoint Sets, Sorting Algorithms (Merge Sort, Quick Sort, Heap Sort, etc.), Searching Algorithms (Binary Search, Linear Search), Dynamic Programming, Greedy Algorithms, Divide & Conquer, Backtracking, Topological Sort, Graph Traversals (BFS, DFS), Minimum Spanning Tree (Prim’s, Kruskal’s), Shortest Path Algorithms (Dijkstra’s, Bellman-Ford, Floyd-Warshall), String Algorithms (KMP, Rabin-Karp, Z-Algorithm), and more!
✔ Assignments, Homework, Labs, Projects, Exams, or Quizzes

🌐 Web Development:
Frontend – HTML, CSS, JavaScript, React, Laravel
Backend – .NET, PHP, Flask, Django

🗄️ Databases:
SQL, MongoDB

🧠 AI & Data Science:
Python for Data Science, Machine Learning, Pandas, NumPy, Data Visualization

✅ What You’ll Get:
Personalized one-on-one sessions
Clear explanations with real-world examples
Hands-on coding practice
Help with assignments, projects, and interview prep
A focus on understanding, not memorizing
No matter your level, I make learning tech engaging and effective. Let’s turn your goals into achievements—one line of code at a time!

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Этот курс предназначен для тех, кто хочет спокойно подготовиться к ОГЭ, ЕГЭ, закрыть пробелы за прошлые классы или просто перестать бояться математики и информатики. Вы получите чёткий индивидуальный план, проверку домашних заданий, регулярную обратную связь и отчёты о прогрессе. Летом предлагаю абонементы со скидкой и возможностью заморозки уроков. Первое диагностическое занятие провожу бесплатно — чтобы оценить уровень и наметить путь к цели.

Ammar

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Artificial Intelligence and programming become much easier when you understand the reasoning behind the algorithms—not simply memorize Python syntax or use AI tools as a black box.

I am a PhD-qualified engineer, university professor, researcher, programmer, and multidisciplinary tutor with more than 30 years of experience across teaching, technical training, engineering, information systems, quantitative analysis, research, data mining, programming, and intelligent knowledge-based systems.

This class provides a structured and personalized pathway for beginners, school and university students, researchers, engineers, professionals, career changers, and adult learners. Depending on your goals, we can focus on Python programming, computational problem solving, automation, machine learning, artificial intelligence, or a coherent progression connecting them.

PYTHON PROGRAMMING & COMPUTATIONAL THINKING
• Python installation and development environments
• Variables, data types, operators, and expressions
• Input, output, and program flow
• Conditional statements and decision making
• For loops and while loops
• Functions, parameters, return values, and scope
• Strings and text processing
• Lists, tuples, sets, and dictionaries
• File handling and data input/output
• Error handling and exceptions
• Modules, packages, and reusable code
• Object-oriented programming
• Algorithms and computational problem solving
• Debugging and systematic error correction
• Code organization, readability, and good programming practices

SCIENTIFIC COMPUTING, DATA & AUTOMATION
• NumPy for numerical computing
• pandas for structured data manipulation
• matplotlib for visualization
• Scientific and engineering calculations
• Automation of repetitive tasks
• Data processing workflows
• Working with files and external data
• Introduction to APIs when relevant
• Python and SQL workflows
• Research and quantitative applications
• Project development from idea to working solution

MACHINE LEARNING
• Foundations of machine learning
• Supervised and unsupervised learning
• Regression and classification
• Clustering and pattern discovery
• Decision trees and rule-based approaches
• Feature selection and data preparation
• Training, validation, and testing
• Model evaluation and performance metrics
• Overfitting and underfitting
• Bias, variance, and generalization
• Model comparison and interpretation
• Predictive modelling and data mining
• Neural-network foundations

ARTIFICIAL INTELLIGENCE & INTELLIGENT SYSTEMS
• Foundations and major branches of Artificial Intelligence
• How intelligent systems represent, classify, predict, and support decisions
• Knowledge representation concepts
• Ontologies and structured knowledge
• Rule-based reasoning and expert-system foundations
• Intelligent decision-support systems
• Generative AI and large language model concepts
• Prompt design and effective AI-assisted workflows
• AI limitations and hallucinations
• Bias, privacy, ethics, and responsible AI
• Applications in engineering, research, business, education, and professional decision making

Depending on your goals, practical work may involve Python, NumPy, pandas, matplotlib, relevant machine-learning libraries, Weka, SPSS Modeler, structured datasets, or modern generative-AI tools.

My teaching approach follows a clear progression:
understand the problem → design the logic → represent and prepare the data → write or select the method → test it → evaluate the output → debug or improve it → interpret the result → apply it responsibly

I do not simply provide finished code, demonstrate isolated commands, or recommend an AI model because it is popular. I help you understand why a method works, what assumptions it makes, when it should be used, how to evaluate its results, where it may fail, and how to improve the solution.

We can work with your course syllabus, programming exercises, existing code, error messages, dataset, research problem, AI project, automation task, engineering application, model output, or professional use case.

Whether you are writing your first Python program, preparing for a university course, debugging a project, automating a professional task, learning machine learning, or exploring advanced AI applications, I will adapt the sessions to your level, objectives, and pace.

My goal is to help you become an independent computational problem solver who can understand, build, evaluate, and apply intelligent solutions—not merely copy code or use AI tools without understanding them.

Ted

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**Game Development for Kids**

Turn your child's creativity into real games! In this fun, hands-on course, kids learn the basics of game development by designing and building their own interactive games. They will explore coding concepts such as sequences, loops, events, variables, conditions, and animations using beginner-friendly platforms like Scratch and Python (based on age and level).

Students will create exciting projects including maze games, platform games, racing games, quizzes, and adventure games while improving logical thinking, creativity, problem-solving, and computational skills.

**What kids will learn:**

* Game design fundamentals
* Coding through fun projects
* Animation and character movement
* Scoring, levels, and game challenges
* Debugging and problem-solving
* Creative storytelling through games

**Age Group:** 6–12 years
**Skill Level:** Beginner to Intermediate
**Course Format:** Live online, project-based classes

By the end of the course, every student will have built multiple playable games and gained the confidence to create their own unique game ideas.