Full-Stack Web Development with React, Next.js, Express.js and Java Spring Boot

From 12 € /h

In this comprehensive course, you'll learn how to build and deploy modern, full-stack web applications using a variety of industry-standard technologies such as React, Next.js, Node.js, Express.js, Spring Boot, MongoDB, MySQL, Docker, and more. Whether you're a beginner or looking to level up your existing skills, this class provides hands-on experience in both frontend and backend development, along with deployment to a live server.

We’ll begin with building the frontend using React and Next.js, focusing on creating dynamic and responsive user interfaces. You'll then dive into backend development using Node.js and Express.js, where you’ll learn how to create RESTful APIs and manage databases with MongoDB and MySQL.

To ensure your applications are production-ready, we'll explore how to containerize your applications using Docker and deploy them to a Virtual Private Server (VPS) with a custom domain name. You'll also gain essential skills in using GitHub for version control and collaborate on projects, as well as style your applications using CSS and Tailwind CSS for modern, responsive designs.

By the end of the course, you'll not only have the skills to build full-stack applications but also understand how to deploy them on real-world servers and manage them in production environments. This course will provide you with all the tools you need to succeed in web development, software engineering, and deployment.

Extra information

This course is ideal for anyone looking to become a full-stack developer, whether you are starting from scratch or seeking to expand your existing knowledge in web development and deployment.

Location

Online from Tunisia

About Me

I am a passionate software engineer with a focus on creating exceptional digital experiences using modern technologies, primarily the MERN stack (MongoDB, Express.js, React, Node.js). With a solid academic foundation from ISAMM University and hands-on experience with startups and established companies, I am constantly looking for new challenges to further expand my skills and contribute to impactful projects.

Over the past few years, I’ve had the privilege of working with companies such as CodeCooperation, Pikoro, Qramer, and Xsustain. These experiences have provided me with the opportunity to tackle diverse, real-world problems and learn from leading professionals in the industry.

One of my key areas of focus is building and optimizing complex user interfaces that not only meet user expectations but exceed them. I take great pride in creating engaging, scalable, and user-friendly platforms, with a particular interest in React.js, Next.js, and React Native for frontend development, as well as NestJS, Node.js, and Express.js for backend solutions.

In addition to development, I have worked with deployment tools and workflows including Docker, Nginx, GitHub Actions, and Certbot to ensure that the applications I build are production-ready and securely deployed.

Technologies I Work With:
Frontend: React.js, Next.js, React Native ,Expo, Redux, Tailwind CSS, Prisma, Three.js, i18n

Backend: Node.js, Express.js, NestJS, Socket.io, Firebase, MongoDB, SQL

DevOps: Docker, Nginx, Certbot, GitHub Actions

Other: Unity (Game Development)

I am always eager to explore new technologies and methodologies to stay at the forefront of the rapidly evolving software development landscape. Whether it's building interactive user interfaces, developing APIs, or deploying scalable platforms, I’m excited to continue learning and pushing the boundaries of what technology can achieve.

Education

I hold a National Engineering Degree in Applied Sciences and Technology from the Higher Institute of Multimedia Arts of Manouba (2021 - 2024). This program provided me with a strong foundation in engineering principles, as well as advanced skills in software development, technology, and multimedia applications.

Experience / Qualifications

As a Software Engineer at Xsustain since June 2024, I have been responsible for developing and maintaining websites from scratch as well as adapting existing templates. My role involves maintaining constant communication with a diverse range of clients to understand their requirements and deliver high-quality, user-friendly digital solutions. I work on both frontend and backend development, using technologies such as React.js, Next.js, Express.js, and Spring Boot. Additionally, I am involved in the deployment process, ensuring that the websites are efficiently deployed and properly configured for production environments. I contribute to all stages of the development process, ensuring that each project is tailored to meet client needs while maintaining the best practices in design and functionality.

Age

Infants (0-3 years old)

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

Advanced

Duration

30 minutes

45 minutes

60 minutes

90 minutes

120 minutes

The class is taught in

English

Arabic

Skills

Web development

Game development

Computer science

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

Amin

4.97

(61)

Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance.
Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one.
What we can cover depending on your goals:

Python fundamentals: variables, loops, functions, data structures
- Object-oriented programming (OOP)
- Data manipulation with pandas and NumPy
- Introduction to machine learning with scikit-learn
- Database management with SQL
- C and Java upon request
- MATLAB and R available for engineering/science students

Why learn with me?
I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now.
Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

Florian

4.97

(61)

Experienced and patient teacher of logic for computer science.

I have taught logic, formal languages and automata theory to undergraduates for six years. My tutoring is adapted to the student's level and goals. Whether you need to learn logic for your studies, or you would simply like to know more about the subject, I will be more than happy to help you improve your understanding and skills.

Logic
The sciences presuppose a certain standard of rationality. An ability to distinguish between correct reasoning and claims that do not follow from the assumptions. In this class we study the basic principles of logic and apply mathematical techniques to the study thereof.
Topics include:
Propositional and Predicate Logic
Syntax and semantics
Natural deduction
Semantic tableaux
Correctness and soundness
Completeness

Formal languages and automata
A formal language is an abstraction of general characteristics of programming languages. Such a languages consists of a set of symbols together with some rules to determine whether a string made up out of those symbols is a member of the language.

Topics include:
Regular languages, context-free languages
Finite automata, pushdown automata, Turing machines
Regular expressions
Regular grammar, context-sensitive grammar
Pumping lemmas for regular and context-free languages

Baia

4.97

(61)

I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work.

Topics include:
Python fundamentals through a finance lens (data structures, functions, control flow).
Working with financial data and datasets.
Performance benchmarking and writing efficient code.
Applying concepts from Hilpisch's Python for Finance.

Vincent

4.97

(61)

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.

Dr.Ibrahim

4.97

(61)

This course introduces students to the fundamentals of Information and Communication Technology (ICT) and its role in modern society. Topics include computer hardware and software, digital communication tools, internet technologies, data management, cybersecurity, and emerging trends. Students will gain practical skills in using productivity software, conducting online research, and understanding the ethical and responsible use of digital resources. The course emphasizes both technical proficiency and digital literacy, preparing learners to confidently navigate and contribute to a technology-driven world.

Farouk

4.97

(61)

This course is a comprehensive and practical introduction to the WordPress CMS, designed for beginners who want to create, customize, and publish their own website, without writing a single line of code.

🎯 Educational objectives:

1- Understand how WordPress and its interface (back-office) work

2- Install WordPress locally using MAMP

3- Choose, install and customize a theme adapted to your needs

4- Use a builder (like Elementor) to create modern and dynamic pages

5- Create a structured navigation menu

6- Import a pre-built demo to save time

7- Put your site online and learn good maintenance practices

🧰 On the program:

1- Installing the local environment with MAMP

2- Getting started with the WordPress interface

3- Management of pages, articles, media, extensions and settings

4- Visual customization (themes, CSS, builders)

5- Hosting your website online

6- MCQs and practical exercises to validate your knowledge

💡 Who is this course for?

For students, entrepreneurs, freelancers, web enthusiasts, or anyone who wants to create their own website without relying on a developer.

Mariem

4.97

(61)

Understanding algorithms is essential for anyone pursuing computer science or programming. In this course, I provide a structured approach to learning algorithms—from fundamental concepts like sorting and searching to advanced techniques such as dynamic programming and graph theory. Whether you're preparing for exams, coding interviews, or aiming to improve your problem-solving skills, this course is designed to build strong algorithmic thinking. Through practical examples and step-by-step explanations, I help students master the logic and techniques needed to write efficient and elegant code.

Raouf

4.97

(61)

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?

Ammar

4.97

(61)

A- TOPICS YOU CAN EXPLORE AND MASTER:
1- PYTHON FOUNDATIONS
• Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming
• Lists, tuples, dictionaries, sets, comprehensions, debugging, and writing clear, reusable, well-structured code
• Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management

2 — PROGRAMMING, ALGORITHMS, AND COMPUTER SCIENCE FOUNDATIONS
• Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design
• Fundamental data structures including arrays, lists, stacks, queues, dictionaries/hash tables, sets, trees, graphs, and their appropriate use
• Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies
• Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges

3- DATA PREPARATION AND EXPLORATION
• NumPy and pandas for importing, cleaning, transforming, filtering, grouping, reshaping, and merging data
• Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation
• Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation

4- MATHEMATICAL FOUNDATIONS
• Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics
• Loss functions, gradients, distance measures, regularization, likelihood, and model complexity
• Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms

5- SUPERVISED MACHINE LEARNING
• Linear and polynomial regression, logistic regression, and regularized models
• k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers
• Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results

6- UNSUPERVISED LEARNING
• Clustering using k-means, hierarchical clustering, and density-based methods
• Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery
• Method selection, evaluation of data structure, and interpretation of results without predefined labels

7- MODEL EVALUATION AND IMPROVEMENT
• Training, validation, and test sets; cross-validation; hyperparameter optimization
• Accuracy, precision, recall, specificity, F1 score, ROC–AUC, confusion matrices, MAE, MSE, RMSE, and R2
• Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization

8- DEEP LEARNING
• Neural-network foundations, activation functions, forward propagation, backpropagation, and gradient descent
• Multilayer perceptrons, convolutional neural networks, recurrent neural networks, and Transformer foundations
• TensorFlow, Keras, or PyTorch depending on the learner’s project and working environment

9- ARTIFICIAL INTELLIGENCE APPLICATIONS
• Natural language processing, text classification, embeddings, sentiment analysis, and foundations of language models
• Computer vision, image classification, fundamental principles of object detection, and image preprocessing
• Recommendation systems, forecasting, anomaly detection, intelligent automation, and decision-support applications

10- GENERATIVE AI AND LARGE LANGUAGE MODELS
• Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation
• Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant
• Reliability, hallucinations, bias, privacy, responsible use, and appropriate human validation

11- TOOLS AND LIBRARIES
• Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras, and PyTorch
• Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel, and Power BI when useful to the project
• Additional libraries may be introduced depending on the selected specialization and dataset

12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION
• Complete projects covering data preparation, model development, evaluation, interpretation, and presentation of results
• University assignments, dissertations, theses, research projects, portfolio projects, technical interviews, and professional applications
• Code review, debugging, documentation, reproducibility, model comparison, and communication of results

-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
B- PERSONALIZED TUTORING: LEARNING HOW TO REASON
Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected.

My lessons help you move beyond simply copying code or using models as “black boxes.” You will learn how to define the problem correctly, prepare the data, select an appropriate algorithm, understand how it works, train and evaluate the model, diagnose errors, improve performance, and interpret results rigorously and responsibly.

Each lesson is personalized according to your current level, mathematical background, programming experience, dataset, university work, research project, interview preparation, or professional objective. We begin by identifying your existing knowledge, software environment, expected outcomes, and main conceptual or technical difficulties. We then establish a structured learning plan.

The first lesson combines a discussion of your background, objectives, and tutoring needs; an initial assessment of your current knowledge; personalized planning and organization of future sessions; and a short trial lesson to determine the most effective learning approach.

A typical session may include conceptual explanation, development of mathematical intuition, live coding, guided implementation, model evaluation, technical problem solving, and a concise summary of the next steps.

You may work with your own dataset, university assignment, research project, or professional problem, provided that confidential information is handled appropriately. I can also provide structured examples and datasets suited to your level.

My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.

منال

4.97

(61)

📊Microsoft Office: To establish your office skills, manage data via Excel, write professional reports with Word, and prepare impressive presentations with PowerPoint.

📐 AutoCAD: To learn engineering drawing and design two-dimensional and three-dimensional plans with high accuracy and speed.

🛣️ Civil 3D: To learn road design, network design, surveying, and quantity surveying in a scientific and practical way

Juan

4.97

(61)

I hold a degree in Management and Software Programs (Rey Juan Carlos University) and have over 20 years of experience in IT and cybersecurity, as well as extensive experience as a vocational training instructor. I help you learn IT in a clear, practical way, without unnecessary technical jargon, whether you're starting from scratch or want to delve deeper into networks, operating systems, or security.

METHODOLOGY
The classes are 100% practical and adapted to your pace and goals. We always start from your current situation (your computer, your work, your questions) and practice with examples and guided exercises. At the end of each session, I provide a summary of what we've covered and, if you wish, optional exercises to reinforce the material. I explain things in simple language, repeat as many times as necessary, and we progress step by step.

SYLLABUS AND LEVELS
- Basic computer skills (beginner): computer handling, files and folders, internet, email, safe use of mobile phones and computers.
- Office automation (beginner and intermediate): Word, Excel and office tools; formulas, tables, charts and data organization. Also advanced level Excel.
- Operating systems (intermediate): Windows and Linux, installation, configuration, users and permissions, maintenance and troubleshooting.
- Networks (intermediate and advanced): network fundamentals, IP addressing, switching and routing, VPN, WiFi and firewalls.
- Cybersecurity (all levels): personal and business protection against phishing, malware and fraud, passwords and backups, regulations (ISO 27001, ENS, GDPR), hardening, vulnerability analysis and basic ethical hacking, SOC and SIEM. Preparation for professional certifications such as IFCT0109 Information Security.
- Programming and data (on request): Python, scripting with PowerShell and Bash, SQL databases.

WHO IS IT FOR?
For children and teenagers who want to learn how to use technology safely, for adults who need to be better at using computers, for older people who want to overcome their fear of technology, for professionals and freelancers who need to improve their office skills, for vocational training students or those pursuing professional certificates, and for those who want to get started in cybersecurity or protect their company.

FIRST CLASS
In the first class, we'll discuss your goals, assess your current level, and answer your most pressing questions. From there, we'll design a personalized learning plan, outlining the topics, pace, and frequency of your classes. You'll leave the first session with a clear path forward and some initial learning.

ONLINE AND IN-PERSON CLASSES IN MALAGA
I offer online classes via video call from anywhere in Spain and in-person classes at your home in Malaga and the surrounding area. In both cases, the content and personalized attention are the same. Write to me and tell me what you need.

Roobini

4.97

(61)

Hi! I'm Roobini, a technology professional, mentor and passionate educator who enjoys making learning simple, practical and interesting.

I offer personalized lessons in Communication Skills, Computer Basics and Mathematics, designed for school students, college students and beginners.

My teaching approach focuses on understanding concepts, building confidence and applying knowledge through practical examples.

What I teach:

1. Communication Skills
- Spoken English and everyday communication
- Public speaking and presentation skills
- Vocabulary, grammar and sentence formation
- Interview preparation and interpersonal skills
- Confidence building

2. Computer Skills
- Computer fundamentals and digital literacy
- MS Office and basic productivity tools
- Internet and essential digital skills
- Programming fundamentals
- Introduction to technology and AI

3. Mathematics
- Basic mathematics and arithmetic
- Algebra and geometry fundamentals
- Logical reasoning and problem-solving
- School-level mathematics
- Concept-based practice and exam preparation

My Teaching Methodology
- Personalized lessons based on each student's learning level.
- Simple explanations with real-life examples.
- Interactive sessions and practical exercises.
- Regular practice, feedback and progress tracking.
- A friendly and supportive learning environment.

With a background in Computer Science Engineering, enterprise technology and professional communication, I aim to help every learner develop knowledge, confidence and skills for the future.

Let's learn, practice and grow together!

Rayen

4.97

(61)

# Class Title
**Information Technology & Web Development – From Fundamentals to Real-World Projects**

# Class Description
Explore the world of Information Technology and Web Development through practical, beginner-friendly lessons designed to build real technical skills.

This class introduces students to essential IT concepts, programming fundamentals, web technologies, and the process of creating modern websites and applications.

Topics include:
- **IT Fundamentals:** Computer systems, operating systems, networks, and troubleshooting.
- **Programming Fundamentals:** Problem-solving, logical thinking, algorithms, and coding principles.
- **Web Development:** HTML, CSS, JavaScript, and responsive website development.
- **Backend Development:** Introduction to servers, APIs, databases, and application logic.
- **Practical Projects:** Build websites and small applications while learning how real software is developed.
- **Technology & Career Skills:** Development tools, debugging, version control, and good programming practices.

Whether you're completely new to technology or looking to strengthen your existing skills, the goal is to make complex concepts easier to understand through clear explanations, hands-on exercises, and practical examples.

**My teaching approach:** Learn by understanding, practice by building, and improve by solving real problems.

Abdul

4.97

(61)

Spending hours every month cleaning the same Excel reports? Or preparing for the PL-300 (Microsoft Power BI Data Analyst) exam and not sure where to start? I teach working professionals and career changers how to use Power BI and Excel the way they're used at work, step by step and in plain language.

What you'll learn (tailored to your goal):
• Power Query: clean messy data (extra spaces, wrong data types, duplicates, text numbers) and set it up so next month is just "Refresh"
• Data modelling: star schema, relationships and a proper Date table
• DAX: measures, CALCULATE and time intelligence, explained so you understand why, not just copy formulas
• Dashboards: clear visuals, slicers, drill-down and Actual vs Target reports
• Power BI Service: publishing, refresh and sharing
• PL-300 exam practice: exam-style questions with explanations

How I teach:
I explain each idea before we click, then we build it together on a realistic dataset, and then you try it yourself. You get clear notes after each lesson. If you bring your own work file (with sensitive data removed), we can use it so you solve your real problem.

About me: Data Science Master's student and BI analyst. I built Power BI and Excel reporting for companies, and recently automated a finance team's monthly SAP report with Power Query so it now updates with one click.

Fer

4.97

(61)

Java is one of the most widely used languages in the world, both in business and in higher education. But learning Java is not just about writing code that "works": it's about writing code that is readable, reliable, and easy to maintain.

As a master's student in computer science, specializing in software quality, I offer a practical course that teaches you the language while giving you the good habits of professional developers from the start.