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Discover the Best Private Computer Programming Classes in Hilversum

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 Hilversum, you’ll benefit from high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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4 computer programming teachers in Hilversum

Manoj

verified teacher icon
5.0

21 reviews

(21)

£23

60-min

/h

trusted teacher iconTrusted teacher

Computer Basic to Front End, Back End, App Development, Services and Testing etc.Translate this text using Google Translate.

Computer Basic to Front End, Back End, App Development, Services and Testing etc.Translate this text using Google Translate.

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

Gundeep

£39

60-min

/h

Programming for all (Python, Coding Games, Game Development)Translate this text using Google Translate.

Programming for all (Python, Coding Games, Game Development)Translate this text using Google Translate.

Hello Prospective Learner, I am Gundeep, grew up in India, studied in US and worked in Silicon Valley and have 10 years of programming experience in all kinds of programming languages. I would like to share that knowledge with others. I especially think it's a great time for kids to learn programming considering that it's the next frontier of knowledge. Currently there is 1 developer for every 4 jobs in The Netherlands. And participation is really low from minority communities and women. I want to play my small part to change that. I don't intend to have too many students since I work full time and my hope is to find a handful of committed students whom I can teach true of the essence of programming besides just the technical concepts. With young Kids 7-10 (like my son) I think technical coding-related games work great in teaching them how to think analytically. For teenagers+ I think they can already start learning python a very easy-to-use, extremely powerful language. I live with my wife and our 6-year-old son in Loosdrecht and would be willing to commute within reasonable distance. Online classes could be option too, but I strongly believe in person education is more effective. Please don't hesitate to contact me if you have any further questions. *Please note that I can only teach in English. Mijn nederlands is niet zo goed :/ ** For people from minority communities and women I would be glad to offer a cheaper price per lesson.

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Ammar

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£26

60-min

/h

Master AI, Machine Learning & Python Programming | Algorithms, Automation & Real ApplicationsTranslate this text using Google Translate.

Master AI, Machine Learning & Python Programming | Algorithms, Automation & Real ApplicationsTranslate this text using Google Translate.

Artificial Intelligence and programming become much easier when you understand the reasoning behind the algorithms—not simply memorize Python syntax or use AI tools as a black box. I am a PhD-qualified engineer, university professor, researcher, programmer, and multidisciplinary tutor with more than 30 years of experience across teaching, technical training, engineering, information systems, quantitative analysis, research, data mining, programming, and intelligent knowledge-based systems. This class provides a structured and personalized pathway for beginners, school and university students, researchers, engineers, professionals, career changers, and adult learners. Depending on your goals, we can focus on Python programming, computational problem solving, automation, machine learning, artificial intelligence, or a coherent progression connecting them. PYTHON PROGRAMMING & COMPUTATIONAL THINKING • Python installation and development environments • Variables, data types, operators, and expressions • Input, output, and program flow • Conditional statements and decision making • For loops and while loops • Functions, parameters, return values, and scope • Strings and text processing • Lists, tuples, sets, and dictionaries • File handling and data input/output • Error handling and exceptions • Modules, packages, and reusable code • Object-oriented programming • Algorithms and computational problem solving • Debugging and systematic error correction • Code organization, readability, and good programming practices SCIENTIFIC COMPUTING, DATA & AUTOMATION • NumPy for numerical computing • pandas for structured data manipulation • matplotlib for visualization • Scientific and engineering calculations • Automation of repetitive tasks • Data processing workflows • Working with files and external data • Introduction to APIs when relevant • Python and SQL workflows • Research and quantitative applications • Project development from idea to working solution MACHINE LEARNING • Foundations of machine learning • Supervised and unsupervised learning • Regression and classification • Clustering and pattern discovery • Decision trees and rule-based approaches • Feature selection and data preparation • Training, validation, and testing • Model evaluation and performance metrics • Overfitting and underfitting • Bias, variance, and generalization • Model comparison and interpretation • Predictive modelling and data mining • Neural-network foundations ARTIFICIAL INTELLIGENCE & INTELLIGENT SYSTEMS • Foundations and major branches of Artificial Intelligence • How intelligent systems represent, classify, predict, and support decisions • Knowledge representation concepts • Ontologies and structured knowledge • Rule-based reasoning and expert-system foundations • Intelligent decision-support systems • Generative AI and large language model concepts • Prompt design and effective AI-assisted workflows • AI limitations and hallucinations • Bias, privacy, ethics, and responsible AI • Applications in engineering, research, business, education, and professional decision making Depending on your goals, practical work may involve Python, NumPy, pandas, matplotlib, relevant machine-learning libraries, Weka, SPSS Modeler, structured datasets, or modern generative-AI tools. My teaching approach follows a clear progression: understand the problem → design the logic → represent and prepare the data → write or select the method → test it → evaluate the output → debug or improve it → interpret the result → apply it responsibly I do not simply provide finished code, demonstrate isolated commands, or recommend an AI model because it is popular. I help you understand why a method works, what assumptions it makes, when it should be used, how to evaluate its results, where it may fail, and how to improve the solution. We can work with your course syllabus, programming exercises, existing code, error messages, dataset, research problem, AI project, automation task, engineering application, model output, or professional use case. Whether you are writing your first Python program, preparing for a university course, debugging a project, automating a professional task, learning machine learning, or exploring advanced AI applications, I will adapt the sessions to your level, objectives, and pace. My goal is to help you become an independent computational problem solver who can understand, build, evaluate, and apply intelligent solutions—not merely copy code or use AI tools without understanding them.

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Our students from Hilversum evaluate their Computer Programming teacher.

To ensure the quality of our Computer Programming teachers, we ask our students from Hilversum to review them.

Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 91 reviews.

Baia was instrumental in helping my daughter prepare for the OMPT-F exam. From the very first lesson, she was organized, knowledgeable, and focused on the areas that mattered most for success on the test. What sets Baia apart is her ability to explain complex mathematical concepts in a simple, structured way while building confidence at the same time. Her engineering background gives her a deep understanding of mathematics and allows her to explain not only how to solve problems, but also why the concepts work. She provided targeted practice materials, mock exams, and clear guidance on the key topics that carried the highest impact. Baia was always responsive to questions between lessons and consistently went above and beyond to ensure my daughter was fully prepared. Thanks to her support, my daughter developed a much stronger understanding of mathematics and a more positive attitude toward the subject. She now approaches challenging problems with far more confidence than before. I highly recommend Baia to anyone preparing for the OMPT exams, university mathematics, or looking for a patient, knowledgeable, and highly effective math tutor.

I was able to get 20 out of 20 from my Excel exam in university, thanks to our classes with Mr Salah. I had 0 knowledge on excel before but after learning and exercising with Mr Salah, I got the maximum grade on my exam. Finally now, I really feel confident about my Excel knowledge, all thanks to Mr Salah. I would really recommend it to anyone who has problems with Excel.

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.

To ensure the quality of our Computer Programming teachers, we ask our students from Hilversum to review them.

Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 91 reviews.

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