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

Trusted teacher

I have 8+ years of professional experience in developing enterprise applications using Microsoft and open source technologies. Teaching has always been my passion. I have prior experience in training junior colleagues at my workplace. You can find the perfect balance of patience and perseverance in teaching in me.

Trusted teacher

Python is the most powerful programming language. It is the best and most suitable language to start coding and find your field in Data Engineering, AI, WEB, Robotics, etc. My classes are individual to every single person, I can "match" their individual principles and teach whatever they want. This is how it works... Besides, I can mentor them, give advice and try to handle some issues during the process. after every single lesson, you can: * Think different * Find Algorithm * Memorise all of the keywords * finish coding tasks easier

Trusted teacher

21Students

I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work. Topics include: Python fundamentals through a finance lens (data structures, functions, control flow). Working with financial data and datasets. Performance benchmarking and writing efficient code. Applying concepts from Hilpisch's Python for Finance.

Trusted teacher

6Students

Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning. This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied. As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others. I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly. Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

Trusted teacher

13Students

Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it? This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio). What we cover, adapted to your level and goals: - Descriptive and inferential statistics (the ones that actually matter) - Data cleaning, exploration, and visualization - Regression, classification, and intro to machine learning - Time series and forecasting basics - R for statistical analysis and academic research Who this is for: - University students in statistics, economics, engineering, or biology - Professionals wanting to move into data analysis or data science - Researchers who need to process and present data properly I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.

Trusted teacher

5Students

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.

Trusted teacher

1Students

I teach machine learning, AI and Python online to university students, postgraduates, career changers and serious beginners across the UK and Europe. Lessons are in English. I hold an MSc in Electronics and Electrical Engineering with Distinction and I teach as a Visiting Lecturer on a Master's level module covering data analytics, machine learning and generative AI at a UK university. I also have two accepted international conference papers on deep learning for image classification. I set and mark postgraduate assignments myself, so I know where marks are won and lost on this kind of work. Who this is for Undergraduates and postgraduates on AI, ML, data science or computer science modules at any European university. Final year, Master's and thesis students working on a machine learning project. IB and A Level students moving into computing or engineering. Professionals retraining for data roles. Complete beginners who want to learn Python properly rather than copying it from videos. I work with students on UK, IB and continental European programmes. I have tutored engineering students in Germany and international school students across several countries, so an unfamiliar syllabus or a module taught in a different structure is not a problem. Send me the material and I will work from it. What we cover Python for data science with NumPy, Pandas, Matplotlib and scikit-learn. Deep learning using TensorFlow and Keras. Core theory including regression, classification, clustering, decision trees, random forests, neural networks and CNNs, together with the linear algebra, calculus and statistics underneath them. Computer vision and image classification, which is my published research area. Model evaluation, overfitting and hyperparameter tuning. Writing machine learning work up to academic standard, covering methodology, results and critical evaluation. How lessons work Send me your module handbook, assignment brief, thesis spec or the code that will not run, and I plan the session around it before we meet. Nothing generic. In the lesson I explain the concept with a worked example, then you take the keyboard while I watch and correct, because you learn far more doing it than watching me do it. You finish with annotated notes and a clear next step, and you can message me between sessions with questions. Practical details Online over Google Meet or Zoom with screen sharing and a shared whiteboard. Sessions run 60 or 90 minutes. I am based in the UK and teach across GMT and Central European time, with evening and weekend slots that suit students anywhere in Europe. Tell me your course, your deadline and exactly where you are stuck, and I will come back with a plan for the first session.