java programming language, spring framework, preparation for job interviews

من 41.88 $ /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 -04:00)

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)

Do you want to understand the heart of programming and solve complex problems efficiently? This algorithms course is designed for you! Whether you are a computer science student (SMI, SMA, SMP, SMC, SVT), an engineer (ENSA, ENSEM, ENSAM, ENIM) or simply passionate about code, algorithms are an essential step to excel in the world of technology.
In this course you will learn how to:
- Analyze and design efficient algorithms.
- Solve common problems (sorting, searching, recursion, etc.).
- Understand essential data structures (lists, stacks, queues, trees, graphs).
- Optimize your programs to make them faster and more robust.
Whether you are a beginner or want to improve your skills, this course adapts to your level and provides you with the tools you need to succeed in algorithms. Thanks to practical exercises, concrete examples and personalized support, you will leave this course with a solid mastery of algorithms. The programming languages used (of your choice): C, Python, C++, Java (or 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.

Mohamed

5.0

(6)

Dive into the world of Python, one of the most powerful programming languages for Data Engineers and Data scientists. With hands-on projects, real-world examples, and engaging lessons, you'll not only learn the fundamentals of Python but also gain the confidence to tackle complex programming challenges.

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.

Bahaa

5.0

(6)

I am a communications and electronics engineer and the manager of a software company in Ras Al Khaimah. I love the teaching profession and I have a passion for conveying information correctly and simply. I have very extensive experience in mathematics, physics, chemistry, programming, computer science, and artificial intelligence, in addition to the English and Spanish languages.

Sami

5.0

(6)

I am passionate about teaching and sharing knowledge, particularly in computer science, and I volunteer to help young people develop their logic, independence, and digital skills. By teaching and guiding students in their learning (programming, algorithms, computer science fundamentals), I aim to create a positive environment where each student feels supported, motivated, and able to progress at their own pace.

For students specializing in Digital Technology and Computer Science (NSI) in general high school, I integrate the learning of languages like Python, as well as languages used for the web (HTML, CSS, JavaScript) and databases (SQL), which are concrete tools for understanding and practicing programming from high school onwards.

For students in the STI2D technological baccalaureate program, specializing in Information and Digital Systems (SIN), I offer approaches tailored to this technical field, using languages such as Python, PHP, and C (particularly with Arduino) for embedded projects or computer prototypes. These languages allow students to connect programming to real-world systems and practical digital solutions.

For students in vocational Baccalaureate (for example, Baccalaureate in Digital Systems), I support learning towards more applied skills, particularly around networks, systems and programming related to the professional environment, in order to facilitate the transition to the world of work or higher education in computer science.

For students in BTS computer science, I reinforce the teaching of fundamental concepts and languages used in projects and professional applications (structured and object-oriented programming, scripts useful in business, etc.), in order to help them succeed in their exams and prepare for their professional integration or further studies.

My experience in tutoring and volunteering has taught me the importance of listening, patience, and a teaching approach adapted to each individual profile, in order to foster success, personal development, and a desire to learn in all these fields.

Mohamed

5.0

(6)

Python programming language course, both theoretical and practical, explained in Arabic and English from scratch. We'll understand what library, if condition, for loop, class, arrays, print, and more are, so we can build a complete project. And, as a cybersecurity professional, I'll also teach him how to exploit several vulnerabilities in Python using a script.

Sara

5.0

(6)

I offer training in Algorithms and Python programming for students and beginners.
Level 1: variables, logical syntax, balls, blocks and functions.
Level 2: packages, file processing, graphical presentations (dashboard).