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Discover the Best Private Computer Engineering Classes in Belgium

For over a decade, our private Computer 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.

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6 computer engineering teachers in Belgium

Cyril

$57

60-min

/h

3D Modeling Course with Rhino and GrasshopperTranslate this text using Google Translate.

3D Modeling Course with Rhino and GrasshopperTranslate this text using Google Translate.

Course description: This comprehensive course is designed for architects, designers, engineers, and creatives who are passionate about 3D modeling and parametrics. You will learn to master Rhino 3D, a powerful 3D modeling software, as well as Grasshopper, a parametric plugin that allows you to generate complex shapes using visual programming. Course objectives: Learn how to use Rhino's basic and advanced tools to create accurate and detailed 3D models. Master the concepts of parametric modeling using Grasshopper to generate dynamic and adaptive shapes. Understand how Rhino and Grasshopper integrate to automate design processes and improve efficiency. Create real-world projects ranging from designing simple geometric shapes to complex, custom structures. Course content : Introduction to Rhino 3D: Interface, basic commands, and navigation in the 3D workspace. Advanced modeling techniques: Creation of surfaces, solids and networks of curves. Introduction to Grasshopper: Understanding the logic of visual programming and its applications in parametric design. Parametric Design: Using Grasshopper to create complex shapes based on variables and constraints. Practical application: Completing a complete project by combining Rhino and Grasshopper, from design to completion. Prerequisites: No specific prerequisites are necessary for this course. However, a basic knowledge of 3D design or modeling software is a plus. Target audience : Architects and designers wishing to deepen their skills in 3D modeling and parametric design. Engineers and technicians interested in design automation and the integration of digital solutions into their creative process. Methodology: The course combines theoretical explanations with practical exercises and case studies. Question-and-answer sessions and workshops will allow participants to work on personal projects throughout the training.

Marouane Boukhriss

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$81

60-min

/h

Technical Lead & Software Engineering. Specializing in AI (Neural Networks, NLP, LLMs), Software Architecture, Advanced/High quality ProgramTranslate this text using Google Translate.

Technical Lead & Software Engineering. Specializing in AI (Neural Networks, NLP, LLMs), Software Architecture, Advanced/High quality ProgramTranslate this text using Google Translate.

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.

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Ali

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5.0

2 reviews

(2)

$28

60-min

/h

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Machine Learning & AI Tutor — Python, Real Projects, University and Self-LearnersTranslate this text using Google Translate.

Machine Learning & AI Tutor — Python, Real Projects, University and Self-LearnersTranslate this text using Google Translate.

I offer one-to-one Machine Learning and AI tuition for university students, postgraduates, working professionals, and serious self-learners. Lessons are available online or in person around Birmingham. What I cover: Python for data science and ML (NumPy, Pandas, Scikit-learn) Deep learning with TensorFlow and Keras Core ML concepts: regression, classification, clustering, neural networks, CNNs Computer vision and image classification (my published research area) University coursework support, dissertation help, project guidance Help with Kaggle competitions and personal portfolio projects How I teach: I focus on understanding, not memorisation. We work through real datasets and real problems — not toy examples — so you can actually apply what you learn. I'll help you build a model from scratch, debug it when it doesn't work, and explain the maths behind why it does or doesn't perform well. For university students, I can also help with assignments, dissertations, and final-year projects. Whether you're just starting out, stuck on a coursework project, or trying to break into ML professionally, I can meet you wherever you are and help you move forward.

Reza

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Recently active
Recently active
$23

60-min

/h

Python programming language (Logical Reasoning, Problem Solving, System Design, Coding)Translate this text using Google Translate.

Python programming language (Logical Reasoning, Problem Solving, System Design, Coding)Translate this text using Google Translate.

🐍 Learn Python from Scratch — Think, Solve & Code! Have you always wanted to learn Python programming but didn't know where to start? Or maybe you've already started learning Python but some concepts still feel confusing? Don't worry — you're in the right place! 😊 I'm Reza, a Computer Engineer, teacher, and technology enthusiast. I have a Master's degree in Computer Systems Architecture, I am currently studying Artificial Intelligence, and I have experience teaching programming and computer science to students with different backgrounds and skill levels. 🧠 Before Python: Learn How to Think Like a Programmer For me, learning Python isn't just about learning commands and syntax. The most important part of programming is learning how to think when you face a problem. Before jumping into code, we'll learn how to understand a problem, break it into smaller pieces, identify what information we have and what we need to find, and develop a step-by-step solution. Then we'll turn that solution into Python code. We'll practice logical thinking, reasoning, problem-solving, algorithmic thinking, and debugging along the way. My goal is to help you become someone who can look at a new problem and think, "Okay, how can I solve this?" — not someone who only remembers Python syntax. 💻 What will you learn? In my Python classes, we can start from the very beginning and gradually build your programming skills. We'll combine programming fundamentals with problem-solving and practical coding, so you understand not only how to write Python, but also how to approach a programming problem. Depending on your level and goals, we can cover topics such as: Python fundamentals and programming concepts Variables and data types Numbers, strings, and text processing if statements and decision making for and while loops Lists, tuples, dictionaries, and sets Functions and reusable code Working with files Error handling and debugging Problem-solving, reasoning, and programming logic Algorithmic thinking and step-by-step solution design Object-oriented programming Practical Python exercises and projects Introduction to Python for Artificial Intelligence and Machine Learning 🎯 My teaching style I don't want you to simply memorize Python commands. I want you to understand how programmers think. During our lessons, I explain concepts in simple language and then we practice them together. You'll learn how to analyze a problem, think about possible solutions, write code, test it, find mistakes, and improve your solution. You'll make mistakes, ask questions, and gradually become more confident. I believe that learning by doing is one of the best ways to learn programming. So instead of spending the whole lesson listening to me, you'll actually write Python code and practice what you've learned. And don't worry if you're a complete beginner. You don't need any previous programming experience to start. 👨‍💻 Who are these Python lessons for? My classes are suitable for: Complete beginners who have never programmed before Students who want to learn Python from the basics University and school students People who want to improve their programming skills Anyone who wants to learn Python for personal or professional development Students interested in eventually moving toward Artificial Intelligence, Machine Learning, or Data Science I'll adapt the lessons to your level, your goals, and your learning speed. 🚀 Let's learn Python together! Learning to program can seem difficult at first, but it doesn't have to be. With the right explanation, enough practice, and a little patience, you can go from writing your first print() statement to building your own Python programs. My goal is simple: Think Clearly. Solve Problems. Learn Python. Build Something. If you're ready to start learning Python, book your first lesson and let's write some code together! 🐍💻

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Our students from Belgium evaluate their Computer Engineering teacher.

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

Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.5 out of 5 based on 19 reviews.

Ghous is a very kind and pleasant teacher. He explains everything clearly and is always responsive and supportive. He adapts to the student’s pace and is very flexible when it comes to scheduling and learning preferences. He has a strong command of Electrical Engineering topics and is able to explain even complex concepts in a simple and understandable way. Ghous is also very helpful with assignments, even when they are in a different language, which shows both his deep subject knowledge and his adaptability. I’m very satisfied with his lessons and would definitely recommend him to others.

I am someone who is too scared of technology, I thought I will take one class and at then decide . But the way he teaches has completely changed my opinion. He used simple example with a smile that now I want to learn even more . "His teaching style and the way he makes the course easily understood” and makes it even easier to fall in love with the topic.

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

Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.5 out of 5 based on 19 reviews.

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