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Private lessonsComputers & ElectronicsComputers & Electronics in Amersfoort

6 computers & electronics teachers in Amersfoort

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6 computers & electronics teachers in Amersfoort

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(21 reviews)
Manoj - Soest26€
26€Computer 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
Maiko - Soest20€
20€Introduction 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
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Amine - Rabat, MoroccoRecently active36€
36€PhD Candidate & Experienced Professor - Data Analysis & Advanced Statistics | 300+ people coached | SPSS, R-Studio, Jamovi, JASP
◾ Tools RStudio • SQL • SPSS • SAS • Jamovi • JASP ◾ Statistical Methods & Tests Student's t-test • ANOVA • MANOVA • ANCOVA • Regression (linear & logistic) • Correlation • Chi-square • Nonparametric tests • PCA • MCA • Exploratory factor analysis • Classification / Clustering • Mediation • Moderation • Interpretation ◾ Data analysis & decision support - Data preparation, structuring and validation using SAS, R and SQL - Descriptive, exploratory and multivariate statistical analyses on business data - Production of performance indicators and actionable analyses to support decision-making ◾ Selection and implementation of methods - Preparation and structuring of databases - Hypothesis testing and univariate, bivariate and multivariate analyses (ANOVA / ANCOVA) - Linear and logistic regressions - Factor analyses (PCA / MCA) - Mediation and moderation models - Classification / clustering 1) Academic support - Lectures, tutorials, projects and assignments in statistics - Help in understanding and interpreting the results - Preparation for exams and academic presentations 2) Statistical analysis - Descriptive statistics (univariate and bivariate) - Multivariate analyses - Data exploration and outlier detection 3) Statistical tests - Correlations (Pearson, Spearman, Cohen's Kappa) - t-tests (one and two samples, independent or paired) - Chi-square, binomial tests - z-scores and associated indicators 4) Statistical modeling - Linear regressions (simple and multiple) - Logistic regression - Interpretation of coefficients, diagnostics and validation of models 5) ANOVA & ANCOVA - One- or multi-factor ANOVA - Repeated measures ANOVA - Fixed and random effects - Post-hoc tests and effect sizes 6) Factor analyses - ACP / PCA (scree plot, factor scores, matrices) - Exploratory factor analysis - Factorial rotations - Validation and interpretation of structures and clusters ◾ Reporting & communication - Clear, structured and concise reporting of results - Visualizations tailored to decision-makers - Support for strategic and operational decision-making
Statistics · Numerical analysis · Database
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Our students from Amersfoort evaluate their Computers & Electronics teacher.

To ensure the quality of our Computers & Electronics teachers, we ask our students from Amersfoort to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 45 reviews.

Unlock Math Confidence with a Top-Tier Tutor| School & University Level | Exam Prep & Confidence Boosting (Amsterdam)
Baia
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I couldn’t ask for a better tutor for my daughter! Baia is incredibly knowledgeable in math and algorithms, but what I truly think it sets her apart is her patience, kindness, and ability to make complex concepts easy to understand. She is always well-prepared and adapts her teaching style to fit my daughter’s needs, ensuring that learning is both effective and enjoyable. My daughter has gained so much confidence in her skills thanks to Baia’s guidance. I highly recommend her to anyone looking for an outstanding tutor!
Review by PATRICK REIS
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
Math Tutoring for school, SAT prep, basic level math, GRE (Los Angeles)
Vidhi
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Vidhi promised an interactive and well explained lesson and she indeed delivered! Her communication skills are impressive with the ability to easily explain the same problem in various ways, she helped me have a clear picture of the key areas of improvement which I need to focus on. Very happy.
Review by CATALINA

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