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Manoj - Amsterdam, Netherlands$31
$31Computer Basic to Front End, Back End, App Development, Services and Testing etc.
Trusted teacher: 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
Computer programming · Java · Javascript
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(2 reviews)
Amr - New Cairo, Egypt$16
$16Python programming (Basic to Advanced) , Practical Course
Trusted teacher: 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
Python · Computer programming · Computer science
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Our students from Monthey evaluate their de Linux teacher.

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Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 25 reviews.

Computer Basic to Front End, Back End, App Development, Services and Testing etc. (Amsterdam)
Manoj
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Great teacher, Manoj is very knowledgeable, professional, patient and friendly. His expertise is exceptional. His in-depth understanding of advanced concepts, such as hooks, context API, and component composition, allowed me to explore React beyond the basics. He effortlessly navigated complex topics, making them accessible and engaging.
Review by EMANUELA
IGCSE ICT & CS, Programming/Information subjects for college students (New Cairo)
Amr
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rating green star
Very helpful and effective tutor.!
Review by LEONIDAS ΛΕΩΝ
Flutter for developing web and mobile apps
Omayma
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rating green star
Super !
Review by LA FABRIQUE À

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