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Discover the Best Private Software engineering Classes in Belgium

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

Private lessonsSoftware Engineering

27 software engineering teachers in Belgium

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27 software engineering teachers in Belgium

Omer - The Hague58€
58€Mastering Software Development: From Basics to Top-tier
Trusted teacher: Description: Dive into the world of software development with a seasoned expert who brings over 17 years of rich experience across government, health, and e-commerce sectors. Having successfully delivered numerous projects, I've navigated the complexities of software engineering in diverse environments. Currently, I'm working at one of the biggest software companies, which had changed the world. At work cutting-edge technology and innovative solutions are part of my daily routine. - 17+ Years of Experience: Extensive background in government, health, and e-commerce projects. - Current FAANG Engineer: Working at the forefront of technology and innovation. - Startup Insight: Co-founder with 5 years of startup experience. - Real-World Learning: Practical lessons from a diverse software engineering career. - For All Levels: Suitable for beginners to advanced learners seeking to expand their skills. In this class, I'll share the insights, techniques, and best practices that have been pivotal to my success. Whether you're just starting out or looking to deepen your software development knowledge, you'll find valuable lessons grounded in real-world experience. Expect to learn through a mix of theory, practical exercises, and personal anecdotes that illuminate the path to becoming an effective software engineer. Frontend Development Basics: HTML, CSS, JavaScript Frameworks: React, Angular, Vue.js Advanced Topics: Progressive Web Apps, SEO, performance optimization Backend Development Languages: Node.js, C# Concepts: RESTful APIs, microservices, database management (SQL and NoSQL) DevOps Principles: Continuous integration and continuous deployment (CI/CD), monitoring, logging Tools: Docker, Kubernetes, Github AI and Data Science Foundations: Python, statistics, machine learning algorithms Libraries: TensorFlow, PyTorch, scikit-learn, pandas Applications: Natural language processing, computer vision, predictive modeling Cloud Platforms (Azure, AWS, Google Cloud) Basics: Core services (compute, storage, networking) Advanced: Serverless architectures, container services, machine learning services Best Practices: Security, cost management, performance optimization System Design Fundamentals: Scalability, reliability, availability Components: Load balancers, caching, data partitioning Case Studies: Designing popular systems (e.g., a URL shortening service, a messaging system) Tailor-Made Roadmaps Soft Skills: Communication, teamwork, problem-solving Management: Project management, agile methodologies Custom Requests: Based on specific needs or interests
Software engineering · Web development · Career development
Marouane Boukhriss - Oudenaarde68€
68€Technical Lead & Software Engineering. Specializing in AI (Neural Networks, NLP, LLMs), Software Architecture, Advanced/High quality Program
The lessons are structured to master modern tech covering everything from Cross-Platform and Embedded Systems Development to cutting-edge programming in Golang, C#, JS, Python and more. Dive into advanced software architecture, agile methodologies, and AI innovations like Neural Networks and Natural Language Processing. The class are designed to enhance your problem-solving skills and thrive in high-stakes environments with comprehensive curriculum designed for real-world success Consequently, I have crafted a curriculum that meticulously addresses critical areas of software development. This curriculum includes, but is not limited to, coding (compiled, interpreted and assembly), development frameworks, software architecture, testing methodologies, agile practices, pipelines, APIs, artificial intelligence, algorithms, and strategies for effective communication within high-pressure environments. This educational framework is designed not only to impart essential technical skills but also to cultivate a robust understanding of the theoretical underpinnings and practical applications that are crucial in the rapidly evolving landscape of software engineering. Core Teaching Areas: - Coding: I teach coding fundamentals and advanced concepts across multiple languages, ensuring students can write clean, efficient, and scalable code. - Development Frameworks: Students gain hands-on experience with popular frameworks like React, VueJS, Laravel, Langchain, FastApi, and Django, which are pivotal in modern web development. - Software Architecture: I cover architectural patterns such as Domain-Driven Design (DDD), Clean Architecture, Onion Architecture, and more, focusing on building robust and maintainable systems. - Testing Methodologies: I emphasize the importance of Test-Driven Development (TDD), automation testing, and quality assurance to ensure software reliability and performance. - Agile Methodologies: Teaching agile practices such as Scrum, Extreme Programming, and Mob Programming, I prepare students to thrive in collaborative, fast-paced development environments. - Pipelines: Students learn to implement Continuous Integration/Continuous Deployment (CI/CD) and ETL processes, essential for modern DevOps practices. - APIs: Instruction includes designing and building APIs using REST and gRPC, critical for creating scalable and interoperable software systems. - Communication and Support in High-Pressure Environments: I train students on effective communication strategies and stress management techniques to maintain productivity and mental well-being in demanding situations. Teaching Techniques and Lesson Structure: My teaching methods are interactive and student-centered, incorporating a mix of theoretical instruction and practical application. Lessons typically begin with a conceptual overview, followed by coding exercises, project work, and peer discussions to reinforce learning. This approach not only helps in understanding the material but also in applying the knowledge practically. Typical Lesson Sequence: - Introduction and Review: Quick recap of previous lessons and introduction of new topics. - Interactive Demonstration: Use of real-world examples to demonstrate new concepts. - Hands-On Practice: Students engage in coding tasks and projects that apply the concepts. - Discussion and Feedback: Encouraging student interaction to share insights and resolve queries. - Summary and Preview: Summarizing key points and outlining next steps or upcoming topics. Through this structured yet flexible approach, I aim to foster an environment where students are encouraged to explore, question, and master the skills necessary for a successful career in technology.
Software engineering · Computer engineering · Computer programming
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Theo - Maarssen54€
54€Experienced Software Engineering Tutor - Elevate your coding skills with real-world insights!
Hello there, programmers! I'm Theo, a seasoned Software Engineer with extensive experience in the tech industry and a passion for teaching. I offer freelance tutoring services in software engineering, taking you on an interactive learning journey from the basics to the advanced concepts. Being a specialist in a broad array of programming languages such as C++, Python, and JavaScript, I can help you comprehend the intricate aspects of coding and software development. With my guidance, you'll learn more than just the syntax; I'll help you develop an understanding of how to approach problems, write efficient code, and work on complex projects. Students who choose my tutoring services will learn: 1) Software Engineering Basics - Foundations of computer science, programming, algorithms, data structures, and operating systems. 2) Software Development Lifecycles - Agile, Waterfall, and hybrid development methodologies. 3) Real-World Programming - Practical exercises with real-world scenarios in coding, debugging, testing, and deployment. 4) Advanced Topics - Concepts of Object-Oriented Programming (OOP), Databases, Machine Learning, Artificial Intelligence, Cybersecurity, and more. 5) Soft Skills - Project management, team collaboration, and communication, crucial for a successful career in software development. In addition to theory, I strongly emphasize hands-on learning with practical projects that simulate real-world software development scenarios. By the end of the course, you will have a portfolio of projects showcasing your software engineering prowess. Stand out from the crowd by mastering the art of coding under my expert guidance. Let's turn your software engineering aspirations into reality!
Web development · Software engineering
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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Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 2 reviews.

Software engineering, programmeren en automatisering (Delft)
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Perfect I am very happy with her support she explain me all what I need. I will ask her for sure in the near future more.
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