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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

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Developing Photoshop and Illustrator skills is a must have for any designer, architect or visualising specialist. The combination of the two skills is important and would help you learn how to combine both softwares to create the best illustrations, graphics and visuals. I am an architect, and I specialise in these skills as I create most of my visuals and graphics using these two softwares. I have been using them for over four years and am proficient in all the shortcuts and faster methods of producing the best renders.

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These lessons are for young children or adults (30+) who want to learn to type blindly. Learn to type in 12 weeks (concluded with exam and diploma). It is particularly checked that you / u 1) Don't start typing with 2 fingers 2) Too much attention is paid to the keys 3) An incorrect attitude is assumed, which may result in complaints. For more information, contact me.

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I give Microsoft Office courses remotely for all levels. I offer remote Microsoft Office sessions for all levels. I provide extensive support and well supported by the most effective learning tools. For more information, contact me.

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I don't want the Quran to be at a distance for all of my children. Leave your readings in the Quran at a distance for all of your children. I'm sure you will receive a solution and be supported by outils of the application for more efficaces. Pour plus information, contactez moy.

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<Course Description> This course is designed for beginners who are interested in learning programming with Python. It covers the basic concepts of programming such as data types, variables, control structures, functions, and file I/O. Participants will learn how to write Python programs, debug code, and design algorithms using Python. The course also introduces the basics of object-oriented programming and the Python libraries used for data manipulation and visualization. <Prerequisites> No prior programming experience is required. However, familiarity with basic computer concepts such as files, folders, and operating systems is recommended. <Learning Objectives> By the end of the course, participants will be able to: * Understand the fundamentals of programming and how it applies to Python * Write Python code for simple applications and automate repetitive tasks * Use control structures such as loops and conditional statements * Create functions to encapsulate code and enable code reuse * Work with Python libraries such as NumPy, Pandas, and Matplotlib * Use object-oriented programming principles to design more complex programs * Debug code and use error-handling techniques <Course Outline> The course is divided into modules that build on each other to provide a comprehensive introduction to Python programming. Each module consists of lectures, demonstrations, hands-on exercises, and quizzes to reinforce learning. Here is an outline of the course: Module 1: Introduction to Python History and Overview of Python Setting up Python environment Writing and running basic Python programs Variables, data types, and operators Module 2: Control Structures Conditional statements and Boolean logic Loops and iteration User input and output Module 3: Functions Writing and calling functions Scope and namespaces Return values and parameters Lambda functions Module 4: File Input and Output Reading and writing files File modes and buffering Handling exceptions and errors Module 5: Object-Oriented Programming Classes and objects Inheritance and polymorphism Data encapsulation and abstraction Special methods and decorators Module 6: Python Libraries Introduction to NumPy, Pandas, and Matplotlib Data manipulation and analysis with Pandas Data visualization with Matplotlib Conclusion This beginner's programming class in Python provides a solid foundation for anyone interested in learning programming and using Python for data analysis, automation, or software development. With hands-on exercises, interactive quizzes, and a comprehensive final project, participants will learn how to write Python code that is efficient, maintainable, and elegant.

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19Students

I'm a working MEP engineer, currently building Python automation for Revit workflows daily - plan checks, model coordination, and repetitive drafting tasks. I teach other engineers, architects, and BIM professionals how to do the same, using pyRevit and real project workflows, not toy examples. Topics include: pyRevit fundamentals and setup Automating repetitive Revit tasks (model checks, plan generation, data extraction) Writing custom scripts for your firm's specific workflows Applying Python automation to real MEP/BIM projects

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6Students

If you’ve ever felt that science and math are difficult, it’s probably because no one showed you how to think like a problem solver. In my classes, you’ll learn not just formulas or code but how to truly understand concepts, apply them, and build strong logical intuition. I teach: • 🔢 Mathematics: From algebra and calculus to applied problem-solving for real-world use. • 💻 Computer Science: Coding fundamentals (Python, C++), algorithms, and logical thinking for beginners and intermediate learners. • ⚛️ Physics: Mechanics, thermodynamics, and practical examples that make abstract ideas simple and visual. As a Software Engineer and Master’s student in Engineering at Nagoya University, I bring both academic knowledge and hands-on experience from real projects. My teaching approach is interactive, visual, and deeply focused on understanding over memorization. Let’s turn complex problems into clear, step-by-step insights — and make learning something you genuinely enjoy.

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8Students

You will learn Systematic Reasoning & Logical Thinking which is a requirement for entering Computer Science program in many universities. The book “Delftse Foundations of Computation” especially its second chapter will be the main source of our lesson, but other more in-depth books will be also covered if you want to improve even further on logical thinking. The topics in our lesson include: • Propositional Logic: Logical operators; Precedence rules; Logical equivalence; Implications in English; Exclusive or; Universal operators; Classifying propositions • Boolean Algebra: Substitution laws • Logic Circuits: Logic gates; Combining gates to create circuits; From circuits to propositions; Disjunctive Normal Form; Binary addition. • Predicate Logic: Predicates; Quantifiers; Tarski’s world and formal structures; • Deduction: Valid arguments and proofs; Proofs in predicate logic If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)

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4Students

Do you aspire to maximum efficiency, limitless creativity and unparalleled productivity in the Gulf region? Let us guide you to excellence with Microsoft Office. Why Choose Microsoft Office? Harness Your Creativity: With Word, Excel, PowerPoint and more, you'll have powerful tools to bring your projects to life, whether creating corporate documents, developing cutting-edge financial tables or delivering presentations breathtaking. Save Time with Automation: Excel simplifies complex tasks with its smart formulas, pivot tables and many other innovative features. Accessible Anywhere: Whether you're in the office, on the road, or at home, Microsoft Office is available on all your devices, allowing you to work wherever and whenever you want. Join the Microsoft Office Revolution! Do not accept compromises in your daily professional life. Invest in the power of Microsoft Office and unlock your full potential. Transform the way you work, create with ease, and reach new heights with Microsoft Office. Register now to master Microsoft Excel, Microsoft Word and Microsoft PowerPoint at all levels and drive your business to excellence in the Gulf region.