facebook
Become a Tutor

Discover the Best Private Computer Programming Classes in The Netherlands

For over a decade, our private Computer Programming tutors have been helping learners improve and fulfil their ambitions. With one-on-one lessons at home or in The Netherlands, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

Private lessonsComputer Programming

216 computer programming teachers in The Netherlands

0 teachers in my wish list
|
+-

216 computer programming teachers in The Netherlands

star icon
active star icon
(21 reviews)
Manoj - Soest$32
$32Computer 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
star icon
active star icon
(13 reviews)
Pr YSF - Brussels$29
$29Electronics, Control of industrial systems, C/C++ VHDL programming, digital and analog electronics, MATLAB simulation
Trusted teacher: Hello, I am a doctoral student in electrical engineering and associate professor in engineering sciences, experienced in the field of electrical engineering, I offer support courses in the subjects of engineering sciences (Electronics, automatics, electrical engineering, automation, programming). Digital electronics Analog electronic electromagnetism (propagation of high frequency waves) Automatic (continuous, sampled) electrical engineering (transformers, electrical machines, switching power supply) C / c ++ programming, Assembler, ARM, STM32 renewable energy (wind, PV) engineering Sciences RDM Python,VHDL PIC Microprocessor and Microcontroller Signal processing and data acquisition Engineering Sciences These courses allow the student to get up to speed and regain confidence in all scientific subjects, just as they prepare him effectively for the Baccalaureate, the Preparatory Classes or various examinations of the engineering classes. COURSE OBJECTIVES AND PEDAGOGICAL APPROACH Resumption and deepening of fundamental concepts through exercises with course reminders. Put the student in a situation of questioning and research. Respond to individual issues and questions Exercise training in order to achieve real mastery of the content. Learn to build theoretical reasoning from observable facts or hypotheses. Specific preparation for higher education requirements (in-depth content, increase in work capacity, enrichment of scientific background) This educational approach is effective since it has often led me to interesting results with my students. Associate professor provides support courses in electrical engineering
Computer programming · Electronic circuits · Electrical engineering
Translate this text using Google Translate.
star icon
active star icon
(3 reviews)
Izhar - Amsterdam$28
$28Java classes for beginners, intermediate and advanced level by trained professional having practical work experience
Trusted teacher: Want to make a career in coding or stuck with your school/college syllabus. Here is the solution. I am an expert with the practical work experience. I'll be starting from scratch and strengthen your concepts so that you can easily master over this language. I am providing you a brief summary of our course which we generally follow but that doesn't mean that I am bound to just this much content. In case you have any doubt for any other specific topic related to the subject, you could always come up to me or you need any help in your assignments or projects, you are always welcome. Here is a brief summary of our syllabus content which we'll be covering Introduction to Java programming • The Java Virtual Machine • Variables and data types • Conditional and looping constructs • Arrays Object-oriented programming with Java Classes and Objects • Fields and Methods • Constructors • Overloading methods • Garbage collection • Nested classes Inheritance • Overriding methods • Polymorphism • Making methods and classes final • Abstract classes and methods • Interfaces Exception handling with try-throw-catch-finally constructs • The Exception class The Object class • Cloning objects • The JDK LinkedList class • Strings • String conversions Working with types: Wrapper classes • Enumeration interface Packages • Package access • Documentation comments Applets • Configuring applets • Applet capabilities and restrictions Basics of AWT and Swing • Layout Managers • Event Handling • The Action Listener interface • Panels • Classes for various controls, such as label, choice, list, • Checkbox, etc. • Dialogs and frames • Using menus • Using the adapter classes • Graphics Threads • Synchronization The I/O Package • InputStream and OutputStream classes • Reader and Writer classes Basic concepts of networking • Working with URLs • Concepts of URLs • Sockets Database connectivity with JDBC • Java security In case you have any query, feel free to contact me. Give yourself a chance for a better future All the best
Computer science · Computer programming · Computer engineering
Maiko - Soest$24
$24Introduction to Python Programming (algorithms, structures, abstractions)
Trusted teacher: <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.
Software engineering · Computer programming
Showing results 1 - 25 of 2161 - 25 of 216
Next »»

Our students from The Netherlands evaluate their Computer Programming teacher.

To ensure the quality of our Computer Programming teachers, we ask our students from The Netherlands to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 116 reviews.

Mathematics classes for beginners and intermediate level (Gouda)
Mahmood
rating star
rating green star
I need to re-study 4 years of high school maths in only 5 months. Mahmood agreed to help me with this difficult task and thanks to his professional way of teaching I believe I can make this happen. He explains topics in detail and yet quickly enough to spare time for other topics. If you are unsure he points you to the right direction. Most important thing for me was that he made me realize that I first need to master concept #1 in order to be able to later master concept #5 and so on. You can see that he has a lot of teaching experience, he tries to understand the way YOU think and based on that he serves you clear explanation for topics you struggle to understand. I definitely recommend him as your next teacher!
Review by RADOSLAV
Python (Software Engineers and Data Science): From Basics to Mastery (Brussels)
Mohamed
rating star
rating green star
I've been studying with Mohamed for several months now, and I can confidently say he is one of the smartest and most effective teachers I've ever worked with. He not only has a deep understanding of Python and Data Science, but he truly knows how to teach. Mohamed has a rare combination of strong technical expertise and outstanding teaching skills. He can explain complex topics in a simple and clear way, and he always chooses examples and exercises that really help you grasp the material. What I value most is his focus on practical application: we don’t get stuck in theory — we move straight to solving tasks that are relevant to real-world work. This makes each lesson extremely useful and efficient 👌🏼
Review by VIKTORIIA
Python Lessons for All Ages! All Levels Welcome! Beginners, Intermediates, Professionals! (Amsterdam)
Gergely
rating star
rating green star
As someone struggling with learning programming in Python for so long, Jerry's lessons literally saved me. His clear explanations helped me understand the concepts better, and the examples he provided helped me concretize the topics in my mind so that I was able to apply them by myself later. He was very patient and helpful when explaining the topics and when giving me time to think about the possible formulations of the algorithms, which released the stress of passing my university course and enabled me to actually understand the essence of Python and how to think when programming.
Review by AZRA

You are here

Private lessons
Computer Programming
map iconMap