java programming language, spring framework, preparation for job interviews

من 42.37 $ /س

Java is a widely-used programming language for coding web applications. It has been a popular choice among developers for over two decades, with millions of Java applications in use today. Java is a multi-platform, object-oriented, and network-centric language that can be used as a platform in itself. It is a fast, secure, reliable programming language for coding everything from mobile apps and enterprise software to big data applications and server-side technologies

معلومات إضافية

Any level of students is allowed
Requirements: a laptop and a fair internet connection

المكان

عبر الانترنت من بلجيكا

السن

الأطفال (7-12 سنة)

شباب (13-17 سنة)

الكبار (18-64 سنة)

الكبار (65 سنة فأكثر)

مستوى الطالب

مبتدئ

متوسط

متقدم

المدة

60 دقيقة

الدرس يدور باللغة

الإنجليزية

الفرنسية

مهارات

هندسة البرمجيات

الخوارزميات

Java

الجاهزية في الأسبوع العادي

(GMT -05:00)

نيويورك

على الانترنت عبر كاميرا ويب

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Mehdi

5.0

(6)

I am a computer engineer and I offer courses to students who wish to consolidate their theoretical knowledge and practical skills in computer science. The courses are adaptable according to your needs and the field of computer science that you wish to consolidate the most. However, I suggest you choose one of the following specialty areas that I master: Algorithmics, Programming (C / C ++, Java, C #, Python), Web (HTML, CSS, Javascript, Ajax, XML, etc.), Data structure .

As a computer engineer, I offer tailored courses to help students strengthen their understanding and practical skills in computer science. My specialties include algorithmics, programming languages such as C/C++, Java, C#, and Python, and web development using technologies like HTML, CSS, JavaScript, Ajax, and XML. I am happy to work with you to focus on the specific areas of computer science that you would like to improve upon.

Manoj

5.0

(6)

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

Salim

5.0

(6)

Hi there!
I’m a Data Scientist and Data Analyst with over five years of experience, here to help you master Python, algorithms, SQL, and Power BI.
I focus on practical, real-world applications, so whether you're just starting or looking to advance, my lessons will equip you with the skills to succeed. Let's make learning fun and effective!

Adam

5.0

(6)

Online Course: Basic Concepts of Algorithms and Data Structures

Duration :
- 60 minutes: condensed format to introduce fundamental concepts with targeted exercises.
- 90 minutes: extended format to explore concepts in depth, solve complex problems, and include an interactive question-and-answer session.

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General description
This course is designed for students and professionals who are new to computer science, as well as those who want to solidify their foundation in algorithms and data structures. It provides a clear and practical introduction to the essential tools for solving problems effectively, by learning how to design and analyze algorithms. Whether you are preparing for an exam, a technical interview, or want to improve your programming skills, this course will guide you in understanding theoretical concepts and their practical application.

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Educational objectives
At the end of the course, participants will be able to:
1. Understand the fundamental concepts of algorithms: sorting, searching, time complexity.
2. Master key data structures: arrays, lists, stacks, queues, trees, and graphs.
3. Solve problems by choosing appropriate data structures and algorithms.
4. Analyze and optimize the performance of algorithms.

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Course syllabus
1. Introduction (5-10 min)
- Presentation of the objectives and concepts covered.
- Importance of algorithms and data structures in computer science.

2. Fundamental concepts (20-30 min)
- Definitions and roles of algorithms and data structures.
- Temporal and spatial complexity: basic notions (Big O).
- Basic data structures: arrays, lists, and dictionaries.

3. Practical application and examples (30-40 min)
- Simple sorting implementation (insertion sort, bubble sort).
- Search example (linear search, binary search).
- Manipulation of stacks and queues through practical exercises.
- Bonus for the 90 min format: Exploration of trees and graphs (simple example of a route).

4. Q&A and conclusion (5-10 min)
- Review of the concepts covered.
- Tips for continuing to practice and progress.
- Suggestions for personal projects to apply the knowledge acquired.

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Teaching methodology
- Interactive learning: a combination of theoretical explanations and practical applications.
- Concrete examples: each concept is illustrated by practical cases and guided exercises.
- Adaptation to needs: the courses are adjusted to the level and objectives of each participant, with a focus on the most relevant aspects.

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Target audience
This course is aimed at:
- Computer science students wishing to strengthen their mastery of the basics before exams or projects.
- Programming beginners who want to understand the essential mechanisms behind problem solving.
- Professionals preparing for technical interviews or seeking to improve their understanding of algorithms.

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Benefits of this online course
- Personalized support from an experienced trainer.
- Educational materials and practical exercises accessible after the session.
- Flexible hours to fit your schedule.
- Progressive approach to facilitate learning, even for beginners.

Develop your skills in algorithms and data structures today to efficiently solve the complex problems of tomorrow!

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Ahmed

5.0

(6)

Python is the programming language these days. It is simple, nice and almost all modern applications use it. With Python, we can now create artificial intelligence models that reduce human effort and give us more accurate and reliable results. The Java and C languages are not lacking in importance, they also make it possible to create applications optimized in terms of RAM.

The composition of the course depends on the level of the student and his own objectives. The first session is a one-hour evaluation session which allows the diagnosis of the level and the needs of the student. From this diagnosis we establish together a program that we will follow during our course.

Generally the course allows the student to assimilate:
* Predefined Data Types & Variables;
* Conditional Structures & Loops;
* Functions ;
* Object-oriented programming (OOP);
* Digital engineering;
* An introduction to databases (Examples and uses)
* Relational Algebra
* LDD, LCD, LMD, LCT
* SQL queries (SELECT, UPDATE, ...)
* Creation of a database and automation of queries using the Python language
* Handling files (TXT, Excel, CSV, JSON, Word);
* Data science;
* Introduction and some applications of Artificial Intelligence.

I am waiting for you to start this adventure.

Amin

5.0

(6)

Looking to master programming and become a skilled developer? In this course, you'll learn the basics of Python and other programming languages, as well as how to use them to build machine learning models. We also offer specialized assistance for students in programming and database management using SQL.

Python is a powerful general-purpose language used in web development, data science, software prototyping, and more. Its simple and easy-to-use syntax makes it an excellent choice for beginners learning to program.

Additionally, upon request, we offer courses in other programming languages such as C, JAVA, R, and MATLAB.

Classes can be conducted remotely or in person, and we tailor our instruction to meet individual or group needs.

If you have any questions, feel free to contact us.

Abdelhamid

5.0

(6)

This course is intended for engineering students (ENSA, ENSAM, or others) and students of science faculties (S4) and all those who want to master a programming language. This course covers all fundamental and advanced aspects of algorithms and programming languages. I guide you in learning and mastering the following languages: C, C++, Java, Python, Prolog, Scheme, Lisp, and others.

Houssem

5.0

(6)

Depending on your level of experience and coding knowledge we will set our class goals.

This class could cover all basics of java programming from beginner to advanced knowledge. Starting from the Object Oriented Programming paradigms and the basic Java application' architecture and going through the Java collections, Threads, Lambda functions, Exceptions, Errors, Scheduler, Aspect Oriented Programming, and many more interesting topics.

All these subjects will be covered with great code examples to help you understand and memorize what you just have learned.

If you are also are looking for help with your exams or school work do not hesitate to contact me as this course could surely be tailored to your exact needs.

Hoping we could have a great learning time. Peace🤍

Brahim

5.0

(6)

Course in standard java and/or entreprise java programming and/or frameworks used in the most java projects.
The course takes place in a theoretical course format, followed by small practical exercises and will be finalized by a mini-project that encompasses all that is seen in the course.
We use the n-tier architecture under heavy applications or web applications.

Dr.Ebrahim

5.0

(6)

Python is one of the most, excellent in the event that not the leading, dialect to begin learning programming. It is additionally one of the foremost broadly utilized dialects nowadays, particularly in cutting-edge zones such as machine learning.

This ubiquity implies that Python is always advancing. It offers a wide run of devices and libraries, which are free and exceptionally shifted.

As an aeronautical builder, I like to share my information and derive satisfaction from it by educating and spurring others.

I'm utilized to working with individuals of distinctive ages. I believe in the significance of fragmenting learning, visualizing advance, setting concrete objectives and honing frequently.

Past these general standards, there's no enchantment running the show or strategy. A few approaches work with a few understudies but not with others. Adjustment to personal needs is hence the most objective of private lessons. So I will do my best to discover what propels and makes a difference in my understudies.

In case your child is curious about technology, you ought to deliver him this opportunity, a programming dialect course to build games 2D Teaching how to make an online site within the web dialect, and more aptitudes in each address The addresses are associated, comprising of 6 levels, and each level has 4 addresses. The term of the address is two hours, counting a brief break for the understudies. The addresses are associated, comprising 6 levels, and each level has 4 addresses. The length of the lecture is two hours, counting a brief break for the understudies.
The course is accessible for all ages.
If you are interested, send a message and I will reply to you as soon as conceivable
Best respect
Ibrahim.

Mohamed

5.0

(6)

Whether you are a beginner writing your first lines of code or an advanced learner tackling complex concepts, I tailor lessons to suit your needs. Together, we will focus on practical skills, problem-solving, and real-world projects to make programming intuitive and rewarding. Let’s work together to turn your goals into achievements!

Amal

5.0

(6)

This mathematics course is aimed at students in lower or upper secondary education who wish to strengthen their basic skills, fill in gaps or effectively prepare for an exam.

We will work together on understanding key concepts (arithmetic, geometry, algebra, functions, etc.) through clear explanations, progressive exercises and a method adapted to the pace of each student.

The goal is to restore confidence, develop logic and reasoning skills, and make mathematics more accessible and concrete.

This course is also suitable for students in scientific, technical or linguistic fields who need regular or occasional support.

Sohad

5.0

(6)

مهندسة برمجيات خبرة 4 سنوات باللغات البرمجية وكتابة أكواد مثل لغة c++ وغيرها الكثير وتصميم مواقع الانترنت إمكانية تعليم الأطفال بناء المواقع البدائية وبرمجتها بالإضافة لخبرة بتدريس الخصوصي لرياضيات بكفاءة عالية متابعة واختبارات دورية و ارتباط البرمجة ورياضيات وبرمجة دروسهم لترسيخها

Ayoub

5.0

(6)

C is one of the most important programming languages in computer science. It builds the foundation for understanding how software really works—memory, logic, and efficient problem-solving.
This course is designed as a practical and beginner-friendly introduction to C programming and the core concepts of algorithms and data structures.

You will learn how to write clean C programs, understand how data is stored and manipulated, and apply essential algorithms used in real applications.
We will work through examples, exercises, and small projects to help you build solid problem-solving skills.

By the end of this course, you will be able to:

Write and understand C programs

Work with variables, loops, conditions, functions, and memory

Use essential data structures (arrays, linked lists, stacks, queues...)

Understand key algorithms (sorting, searching, recursion...)

Approach problems step-by-step like a real programmer

This course is ideal for beginners, students, or anyone who wants a strong foundation in programming and computer science.

Fahd

5.0

(6)

Unlock the world of programming with a clear and practical course designed for complete beginners.
In this class, you'll learn the foundations of JavaScript, one of the most widely used languages in modern web development.

Through simple explanations and real examples, you’ll understand how to write your first programs, solve problems using logic, and build small interactive projects. My teaching approach focuses on practice, clarity, and step-by-step guidance—perfect for students who want to start their coding journey with confidence.

By the end of the course, you’ll be able to:

Understand variables, conditions, loops, and functions

Build basic JavaScript programs that run in the browser

Work with events and manipulate the DOM to create interactive pages

Apply programming logic to solve real-world problems

Develop a solid foundation to continue into front-end or full-stack development