Python/JAVA Class includes basic and fundamental programming concepts along with step wise track record of topics for better connectivity

من 9.59 AED /س

You will learn basics to intermediate level and go up to advanced level in the particular programming languages with my guidance, Being a software developer I have a better understanding with examples for reference. Students will enjoy learning with me as the sessions will be more interactive.

معلومات إضافية

Bring your own device for better understanding with real time examples and practice

المكان

عبر الانترنت من الهند

السن

الأطفال (7-12 سنة)

شباب (13-17 سنة)

الكبار (18-64 سنة)

الكبار (65 سنة فأكثر)

مستوى الطالب

مبتدئ

متوسط

متقدم

المدة

30 دقيقة

45 دقيقة

60 دقيقة

90 دقيقة

الدرس يدور باللغة

الإنجليزية

الهندية

مهارات

Java

Python

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

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

Adam

4.95

(21)

This course is designed for beginners who want to get started with programming in Python, one of the most popular and accessible languages today. No previous experience is necessary. In one session, students will learn the basics of programming and will be able to create their first Python applications. With clear explanations, practical exercises, and real-world examples, this course is an ideal gateway to exploring computer science and coding.

Online Course: Introduction to Python - Programming Basics and Simple Applications

Duration :
- 60 minutes: intensive format to learn fundamental concepts.
- 90 minutes: In-depth format with more time for practical examples and interactive questions.
---

Educational objectives
At the end of the course, participants will be able to:
1. Understand the basics of programming, including the concepts of variables, data types, conditional structures, and loops.
2. Write and run simple Python scripts.
3. Manipulate inputs and outputs to interact with the user.
4. Solve practical problems with short, functional programs.

---

Course syllabus
1. Introduction (10-15 min)
- Presentation of Python: Why this language?
- Installation and configuration of a programming environment (IDLE, Visual Studio Code, or Jupyter Notebook).
- First program: *"Hello, World!"*.

2. Python Basics (20-30 min)
- Variables and data types (integers, strings, lists).
- Mathematical operations and data manipulation.
- Conditional structures (if/else) and loops (for/while).

3. Practical exercises (20-35 min)
- Write a program to calculate the sum of two numbers provided by the user.
- Create a simple application, like a currency converter or password generator.
- Bonus for 90 min format: Fixed a more complex issue involving lists or loops.

4. Q&A and conclusion (5-10 min)
- Summary of the concepts covered.
- Suggestions for resources to continue learning.
- Feedback on the course.

---

Teaching methodology
- Interactive and engaging: the course combines theoretical explanations with practical exercises.
- Personalized approach: Sessions are tailored to the needs of participants. Students are encouraged to ask questions at any time.
- Learning by doing: examples and exercises are designed to help you assimilate concepts quickly.

---

Target audience
This course is ideal for:
- Complete beginners in programming.
- Students or professionals wishing to acquire skills in Python for their personal or professional projects.
- Anyone curious to discover a powerful and versatile tool for solving problems.

---

Benefits of this online course
- Teaching by an experienced and passionate trainer.
- Interactive sessions adapted to your learning pace.
- Access to educational materials and exercises to continue practicing after the course.

Join us now to discover programming and its applications using Python!

---

Ahmed

4.95

(21)

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.

Abdelhamid

4.95

(21)

Expert in Java, Python, C and C++!
Do you want to master Java, Python, C or C++? Get advice from a computer science teacher specialized in these powerful languages! With my in-depth expertise and years of experience, I offer you unique training, tailored to your needs, whether it is to improve your skills, succeed in your university projects, or prepare you for professional challenges.
Adapted methodology: Interactive and practical courses, with concrete projects for real understanding.
Academic and professional expertise: Advanced knowledge applied to real-world needs.
Guaranteed results: Progress quickly and efficiently, whatever your current level.

Amin

4.95

(21)

By delving deep into the practical applications of statistics and data science, this course is designed to set you up for success.

Learn from real-world examples: Instead of spending hours on theoretical material and trying to relate it to practical issues, we will focus solely on applied statistics. Programming will allow you to apply theory to real-world problems, equipping you with the knowledge and skills you need to succeed.

We won’t be spending hours solving math problems by hand for reinforcement, as this isn’t school. Instead, we’ll use cutting-edge methods and code libraries that leverage the latest software releases to maximize productivity and efficiency.

If you have any further questions, please do not hesitate to contact us.

Mohamed

4.95

(21)

This comprehensive course is designed to take absolute beginners with no prior coding experience to confident Python programmers. Through hands-on projects, real-world examples, and interactive exercises, students will master Python fundamentals and apply them to build applications, automate tasks, analyze data, and even explore game development.

What You’ll Learn:
🐍 Python Basics:

Syntax, variables, data types, and operators
Input/output, loops (for, while), and conditionals (if-else)

📚 Core Programming Concepts:

Functions, modules, and error handling
Lists, tuples, dictionaries, and sets

🎮 Real-World Applications:

File handling (read/write files)
Web scraping (intro to BeautifulSoup/Requests)
Basic game development (with Pygame)

🔢 Next-Level Skills (Towards "Hero" Level):

Object-Oriented Programming (OOP) – Classes & Objects
Working with APIs (fetching data from the web
Intro to data analysis (Pandas & Matplotlib basics)
Mini-capstone project to showcase skills

Oussama

4.95

(21)

Learn to add AI features to your applications using ChatGPT API. Taught by a Full-Stack Engineer who's integrated AI into real client projects.

What You'll Learn:
ChatGPT API Integration: Add AI chat, content generation, or text analysis to any web app
Prompt Engineering: Write effective prompts that give consistent, quality results
Production Implementation: Rate limiting, cost management, error handling, security
Real-World Deployment: Deploy AI features to AWS with proper monitoring and logging

Technologies:
OpenAI API (ChatGPT-4)
React/Next.js frontend integration
Node.js/NestJS backend
Secure API key management
Cost optimization (don't waste money on API calls)

Perfect For:
Developers: Add AI to your portfolio (instant differentiation from other candidates)
Freelancers: Offer AI integration services
Students: Build an AI-powered projects that stands out
Entrepreneurs: Add AI features to your product without hiring an AI engineer

What We'll Build:
AI chatbot for your website (customer support, FAQ assistant)
Content generation tool (blog posts, product descriptions, social media)
Text analysis features (summarization, sentiment, keyword extraction)
Custom AI assistant for your specific use case

Real Examples:

E-commerce: AI product description generator
Real estate: AI property listing writer
Marketing: AI social media content creator
Education: AI study assistant

What's Included:
Working code you can deploy immediately
Cost management strategies (API calls can get expensive!)
Error handling and fallback strategies
Production deployment checklist

No AI experience needed - just basic JavaScript/React knowledge.

Salah

4.95

(21)

Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

Hamza

4.95

(21)

Discover the power of Python with an experienced computer trainer!
I'm Hamza, a passionate developer and seasoned mentor with extensive experience teaching programming. My unique teaching approach will help you quickly acquire solid Python skills while discovering its real-world applications in the professional world.
What you will learn:

Python Fundamentals (variables, control structures, functions)
Advanced Object-Oriented Programming
Data Analysis and Visualization with Pandas and Matplotlib
Developing graphical interfaces with PyQt
Practical projects inspired by real business cases

Why choose me?

Over 10 years of experience in training and mentoring
Teaching method adapted to all levels
Hands-on approach based on concrete projects
Contagious passion for code and technological innovation

Whether you're a beginner looking to get started in programming or a professional looking to improve your skills, this course will open up exciting new opportunities in the world of software development and data science.
Join me for a captivating journey into the heart of the most versatile and in-demand programming language on the market!
Book now and take the first step towards mastering Python. Your career as a Python developer starts here!

Hayat

4.95

(21)

This course is designed for anyone interested in learning data science using Python. It provides a hands-on introduction to fundamental data analysis tools such as NumPy, pandas, matplotlib, and seaborn. You'll learn how to manipulate datasets, create visualizations, and lay the foundations for statistical analysis and machine learning.

The course combines theory and practical exercises for effective, practical progress. No prior programming experience is necessary: we'll start with the basics to build solid, usable skills quickly.

Amr

4.95

(21)

In today's rapidly evolving technological landscape, **Python programming** has emerged as one of the most **critical skill sets** for professionals across industries. With applications spanning web development, data science, artificial intelligence, automation, and more, Python continues to dominate as the **language of choice** for developers and organizations worldwide. This proposal outlines a comprehensive Python course designed and delivered by **Amr**, a developer and instructor with over **20 years of experience** in the field. The course combines fundamental programming concepts with practical, real-world applications, ensuring students gain not just theoretical knowledge but **marketable skills** that align with current industry demands. By leveraging cutting-edge teaching methodologies and extensive professional experience, this course offers an unparalleled learning opportunity for aspiring programmers and experienced developers alike.

## 1 Introduction to Python Programming

Python has established itself as a **powerhouse programming language** across various domains, from web development and data analysis to artificial intelligence and automation. As of 2025, the demand for Python skills continues to soar, with industry giants like Cisco, IBM, and Google leveraging its capabilities for their projects . Python's dominance in the technology sector is undeniable – it remains the **most requested programming language** in job postings across multiple industries, including finance, healthcare, technology, and entertainment.

The language's popularity stems from several key factors: its **user-friendly syntax** that resembles natural English, making it exceptionally accessible for beginners; its **versatile nature** that supports multiple programming paradigms; and its **extensive ecosystem** of libraries and frameworks that simplify complex programming tasks. Python's cross-platform compatibility ensures code runs seamlessly on Windows, macOS, and Linux environments, while its open-source nature has fostered a massive community of contributors who continuously expand its capabilities . These attributes make Python not just a programming language but a **comprehensive toolset** for solving diverse computational problems.

For professionals looking to future-proof their careers, Python offers **exceptional value**. According to industry data, Python developers in the United States earn an average of **$116,028 per year**, reflecting the high market demand for these skills . Beyond financial rewards, Python proficiency opens doors to cutting-edge fields like machine learning, natural language processing, and data analytics – domains that are shaping the future of technology across industries.

## 2 Course Overview & Learning Objectives

### 2.1 Course Philosophy
This Python programming course is designed with a **practice-oriented approach** that emphasizes hands-on learning and real-world application. Unlike traditional programming courses that focus heavily on theory, this program balances conceptual understanding with **practical implementation**, ensuring students develop the skills needed to solve actual business problems. The curriculum is structured to build proficiency gradually, starting with fundamental concepts and progressing to advanced applications, with each module incorporating **project-based learning** components.

### 2.2 Key Learning Objectives
Upon successful completion of this course, students will be able to:

- **Demonstrate proficiency** in core Python programming concepts including data structures, control flow, functions, and file handling
- **Develop functional applications** using Python for various domains including web development, data analysis, and automation
- **Implement object-oriented programming** principles to create modular, maintainable code
- **Utilize popular Python libraries** such as Pandas, NumPy, and BeautifulSoup for specialized tasks
- **Integrate with databases** and web APIs to create full-stack applications
- **Apply debugging and testing** techniques to ensure code quality and reliability
- **Build portfolio-worthy projects** that demonstrate marketable skills to potential employers

## 3 Instructor Qualifications & Experience

### 3.1 Professional Background
**Amr** brings an exceptional **twenty-year track record** of development and instruction experience to this Python course. His extensive background encompasses both corporate training and software development, providing a unique blend of pedagogical expertise and practical knowledge. With credentials including a **Bachelor of Computer Science and Management Technology** from Modern Academy and a **Computer Science Diploma** from Arab Academy for Science and Technology, Amr possesses the academic foundation to complement his extensive professional experience.

His career demonstrates **progressive responsibility** and expertise across multiple programming languages and frameworks. Beginning as a technical instructor at renowned institutions including NewHorizons, Knowlogy, and Informatica, he quickly established himself as a developer at Microtech and ITS, where he worked on enterprise-level systems including **ERP and banking applications**. This combination of education and hands-on development experience creates an ideal foundation for teaching programming concepts with both theoretical rigor and practical relevance.

### 3.2 Industry Client Portfolio
Amr's exceptional teaching credentials are further enhanced by his impressive roster of **corporate clients**, which includes some of the world's most recognized brands:

- **Technology Leaders**: Microsoft, IBM, Siemens, Vodafone, and Telecom Egypt
- **Financial Institutions**: National Bank of Egypt, NSGB, CIB, and Central Bank of Egypt
- **Global Consumer Brands**: Pepsi, Coca-Cola, Nestlé, Cadbury, and Americana
- **Industrial Conglomerates**: Chrysler, Valeo, 3M, ABB, and BP (British Petroleum)
- **Government Entities**: Libya Government IT Department, Sudan Army Officers, Egyptian Airports Company

This diverse client experience has provided Amr with **unparalleled insight** into how Python is applied across different industries and organizational contexts. His exposure to various business domains allows him to teach Python not as an abstract academic exercise but as a **practical tool** for solving real business problems.

### 3.3 Teaching Methodology
Amr employs a **learner-centered approach** that emphasizes interactive engagement and practical application. His teaching philosophy is based on the principle that programming is best learned through doing, rather than passive listening. Each concept is introduced through **clear explanations** followed immediately by hands-on exercises that reinforce learning. He adapts his pace and approach based on student comprehension, ensuring no one is left behind while maintaining challenging content for advanced learners.

*Table: Instructor's Recent Training Engagements (2023-2025)*

| **Year** | **Corporate Clients** | **Training Centers** | **Technologies Covered** |
|----------|-----------------------|----------------------|--------------------------|
| **2023** | International Finance Corporation, Raya Integration | Raya Academy, IT-Egypt | VBA, Office Automation, Web Technologies, Software Fundamentals with C#, SQL Server Database Design and Querying, Introduction to .NET Core Framework, Building ASP.NET Core Web API, Front-End Development Basics (HTML, CSS, JavaScript, TypeScript), Advanced Front-End Development with Angular, Integration and Deployment |
| **2024** | 3M, Pepsi | NewHorizons, Radio & Television Institute, Informatics (Lebanon), Total-Tech (KSA), Global Business Star (USA) | SQL Query (20761), SQL Development (20762), SQL Admin (20764,20765), Tabular, MQL5, ASP.NET Core MVC Web Applications (20486), Programming in C# (20483), Programming in HTML5 with JavaScript and CSS3 (20480), LINQ, EF (Entity Framework) |
| **2025** | Siemens, Vodafone | YAT, Future University | Full Stack Development, Data Analysis |

## 4 Detailed Course Curriculum

### 4.1 Module Breakdown
The Python course is structured into **eight comprehensive modules** that systematically build programming proficiency from foundation to advanced application:

1. **Python Fundamentals** (10 hours): Syntax, variables, data types, operators, and basic input/output operations. Students will write their first programs and understand how Python interprets and executes code.

2. **Control Structures & Functions** (15 hours): Conditional statements (if/elif/else), loops (for/while), function definition, parameters, return values, and scope. Emphasis on writing clean, reusable code.

3. **Data Structures** (20 hours): Lists, tuples, dictionaries, sets, and their appropriate applications. Includes comprehensive exercises on data manipulation and storage.

4. **Object-Oriented Programming** (20 hours): Classes, objects, inheritance, polymorphism, and encapsulation. Students will learn to structure code using OOP principles for better maintainability.

5. **File Handling & Modules** (10 hours): Reading/writing files, exception handling, importing modules, and creating custom modules. Practical applications for data persistence.

6. **Web Development with Python** (25 hours): Introduction to Flask/Django frameworks, REST APIs, and basic front-end integration. Students will build a functional web application.

7. **Data Analysis & Visualization** (25 hours): Using Pandas for data manipulation, NumPy for numerical computing, and Matplotlib/Seaborn for visualization. Real-world datasets will be used for analysis.

8. **Introduction to Automation & Scripting** (15 hours): Applying Python to automate repetitive tasks, web scraping with BeautifulSoup, and working with APIs.

### 4.2 Practical Projects
The curriculum includes **five portfolio projects** that allow students to apply their learning:

1. **Data Analysis Project**: Analyzing real business data to extract insights and create visualizations
2. **Web Application Project**: Building a fully functional web application with database integration
3. **Automation Script**: Creating a practical tool to automate a repetitive computer task
4. **API Integration Project**: Connecting to external services and processing returned data
5. **Final Capstone Project**: A comprehensive application that demonstrates mastery of course concepts

### 4.3 Python in Marketing Analytics
A special section of the course will focus on **Python applications in digital marketing**, covering how Python can be used for marketing automation, data analysis, and operations . Students will learn:

- **Working with APIs** to connect different software tools and automate marketing workflows
- **Web scraping** to gather data from web pages for content analysis and competitive intelligence
- **Text analysis** for sentiment analysis, content optimization, and customer feedback processing
- **Data analysis** for marketing analytics using Pandas and visualization libraries
- **Technical SEO** applications using Python libraries like advertools and EcommerceTools

This specialized content demonstrates Python's versatility beyond traditional programming roles, showing its value in business functions like marketing where data skills are increasingly crucial.

## 5 Training Methodology & Delivery

### 5.1 Interactive Learning Approach
This Python course employs a **multimodal teaching methodology** that accommodates diverse learning styles while ensuring practical skill development. Each session follows a structured pattern:

1. **Concept Introduction**: Clear explanation of programming concepts with real-world analogies
2. **Live Coding Demonstration**: Step-by-step coding examples that students can follow along
3. **Guided Practice**: Structured exercises with instructor support and immediate feedback
4. **Independent Challenge**: Problem-solving activities that require applying concepts creatively
5. **Code Review**: Collaborative analysis of solutions to identify best practices and improvements

This approach ensures that students not only understand theoretical concepts but develop the **problem-solving mindset** essential for effective programming. The emphasis is always on writing clean, efficient, and maintainable code following industry standards.

### 5.2 Hands-On Labs & Exercises
A distinctive feature of this course is the extensive **hands-on programming practice** integrated throughout the curriculum. Students will spend approximately **60% of course time** actively writing code rather than passively listening to lectures. Practical components include:

- **Coding exercises** for each new concept introduced
- **Mini-projects** that combine multiple concepts into functional applications
- **Debugging challenges** that develop problem-solving skills
- **Code optimization** activities focusing on efficiency and performance
- **Pair programming** sessions to foster collaboration and knowledge sharing

ِSend me if you have any questions,
Regars,
Amr

Anas

4.95

(21)

This course is aimed at students wishing to strengthen their skills in mathematics, computer science and engineering sciences, three complementary disciplines for developing logic, rigor and analytical skills.

The objective is to support each student according to their level and needs:

🔹 In mathematics: understand concepts, solve various exercises and prepare effectively for exams.

🔹 In IT: learn programming (Python, Scratch, C++...), algorithmic logic and the use of digital tools.

🔹 In engineering sciences: discover the principles of modeling, mechanics, and electronics.

Each session is structured to make the student independent, confident and motivated, thanks to clear teaching methods adapted to their pace.

Mounir

4.95

(21)

Are you ready to finally master Python in a simple, practical and time-saving way?
In this class, you will learn Python from zero even if you have no coding experience, and grow step by step until you are able to build real projects with confidence.

🔥 Why this course is different:

✅ No boring theory - you learn by doing
✅ Clear explanations + simple examples
✅ Exercises every session to practice
✅ Real-world mini projects to build your portfolio
✅ Friendly support + step-by-step learning path
✅ How to integrate AI to work smarter and faster

✅ Who is this class for?

✔️ Total beginners
✔️ Students or professionals switching to tech
✔️ Data & AI beginners
✔️ Anyone who wants real practical skills fast

✅ Teaching style:

✅ Simple, friendly, and interactive
✅ 100% personalized learning path
✅ Live exercises + homework + feedback
✅ Learn at your rhythm

Fahd

4.95

(21)

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

Mostapha

4.95

(21)

السلام عليكم ورحمة الله وبركاته،
أنا طالب باحث في سلك الدكتوراه وأقدم دروس دعم وتقوية في مادة الرياضيات لجميع المستويات:

✔️ الإعدادي
✔️ الثانوي
✔️ الباكالوريا بجميع شعبها
✔️ التحضير للامتحانات والواجبات

أوفر شرحًا مبسطًا، تمارين تطبيقية، متابعة مستمرة، وتحسين مستوى التلميذ خطوة بخطوة.