Programming & Web Development – Tutoring for HTL, FH, university studies and personal projects

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From 36 £ /h

Do you need support with programming, are you stuck on a task, or do you finally want to truly understand the basics of web development?

I support school students, students at technical colleges, universities of applied sciences, and universities, as well as beginners, in programming and modern web development. The lessons are tailored to your current knowledge level and the specific topic you need support with.

Together we can develop fundamental concepts, solve problems, study for exams, or work directly on your own project.

Possible topics include:

• JavaScript and TypeScript
• HTML and CSS
• Fundamentals of programming
• Variables, functions, objects and classes
• Interfaces, types and generics
• Asynchronous programming
• Working with APIs
• Angular and modern web applications
• Databases and PostgreSQL
• Git and version control
• Debugging and systematic troubleshooting
• Understand and improve code
• Preparation for tasks, projects and exams

What's particularly important to me is not simply providing a ready-made solution. Together, we'll look at where a problem arises, how to analyze it step by step, and how you can arrive at a solution yourself.

If you already have a specific task or project, you can bring it directly to class. We can go through existing code together, find errors, and clarify any open questions.

The lessons are suitable for beginners as well as students who already program and need support with specific topics. I will tailor the content and pace to your individual prior knowledge and goals.

Location

Online from Austria

About Me

I am a freelance software developer and have been working professionally in modern web development for many years. My focus is on Angular, TypeScript, and the development of large web applications.

I've been working with Angular since 2016. Today, I run my own software agency, WeekndDevs, developing both custom software solutions for clients and our own software products. This means I'm familiar not only with the theory behind individual technologies but also with the challenges that arise in real-world projects – from architecture and code quality to debugging and performance, as well as testing, deployment, and long-term maintainability.

When teaching, it's important to me to explain technical topics in a clear and practical way. I don't want to simply provide a ready-made solution, but rather show why something works and how to arrive at a good solution independently.

I tailor the lessons to each student's individual level of knowledge. Beginners can start with the basics, while with advanced students or developers we can work directly on specific problems, existing code, or architectural questions.

It is particularly important to me that questions can be asked at any time and that any uncertainties are truly clarified. The goal is not to cover as much material as possible in a short time, but rather to understand the connections and then be able to apply what has been learned independently.

My areas of expertise include:

• Angular and TypeScript
• JavaScript, HTML and CSS
• modern front-end architecture
• APIs and full-stack web development
• NestJS and PostgreSQL
• Git, testing and debugging
• Performance and code quality
• professional development tools and workflows

The course is suitable for school pupils, HTL/FH/university students, career changers as well as developers already working in the field.

If you are working on your own project or are stuck on a specific task, we can gladly work directly with your existing code and develop a solution together.

Education

Alpe-Adria University in Klagenfurt, Applied Computer Science from 2012 to 2016.
IT-HAK diploma with a focus on information technology and business.

Since then, continuous professional development in modern web development, especially in Angular, TypeScript, JavaScript, software architecture, testing and full-stack development.

Experience / Qualifications

Since 2017 I have been self-employed in software development and have been working intensively with Angular since 2016.

Over the course of my professional career, I have worked on various web applications and larger software projects, gaining particular experience in Angular, TypeScript, frontend architecture, APIs, databases, testing and performance optimization.

Besides development, my responsibilities also included training and supporting other developers. I guided developers on their introduction to Angular and developed training materials for Angular.

Today I run my own software agency, WeekndDevs, and develop individual software solutions as well as my own products such as Turniermeister, Bierblock and else.events.

This allows me to not only impart theoretical knowledge in class, but also to explain many topics based on real experiences from professional software projects.

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

The class is taught in

German

English

Skills

Computer programming

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Learn Angular & TypeScript – practical lessons from the basics to professional application

36 £ /h

Do you want to develop modern web applications with Angular and TypeScript, need support with an existing project, or want to deepen your knowledge in a targeted way?

In my classes, you'll learn Angular and TypeScript through hands-on experience, using concrete examples and real-world applications. It's not about memorizing commands or copying pre-existing code. My goal is for you to understand how Angular works, why certain solutions are beneficial, and how you can independently solve technical problems later on.

The lessons are individually tailored to your current knowledge level and your goals. We can start with the basics or work specifically on advanced topics.

Possible topics include:

• Fundamentals of TypeScript, JavaScript, HTML and CSS
• Components and modern Angular project structures
• Signals and reactive data processing
• Inputs, outputs and communication between components
• Services and Dependency Injection
• Routing and lazy loading
• Forms and validation
• RxJS and asynchronous data
• REST APIs and the connection to backends
• Architecture of larger Angular applications
• Debugging, performance, and code quality
• Testing and modern development tools
• Git, ESLint and professional work on software projects

If you're already working on your own project, a school, technical college, university, or university assignment, or a professional application, we can also work directly with your existing code. Together, we can analyze errors, implement features, improve the architecture, or clarify any open questions.

I have been working professionally with Angular since 2016 and today, as a freelance software developer, I create both custom applications and my own software products. This allows me to share not only the fundamentals but also experience gained from real-world, long-term software projects.

The course is suitable for beginners, pupils and students as well as for junior and more experienced developers who want to better understand and use Angular and TypeScript more professionally.

Full-stack web development with Angular, NestJS & PostgreSQL

36 £ /h

Do you want to learn how to create a complete modern web application – from the frontend to the backend and the database?

In this course, we develop full-stack applications using Angular, TypeScript, NestJS, and PostgreSQL. We don't just look at individual technologies in isolation, but primarily at their interaction within a real-world application.

The lessons are practice-oriented and adapted to your current level of knowledge. We can develop an application together from scratch or work directly on your existing project.

Possible topics include:

• Angular and TypeScript in the frontend
• NestJS and TypeScript in the backend
• Structure and organization of REST APIs
• Communication between frontend and backend
• PostgreSQL and data modeling
• Authentication and user management
• Validation and error handling
• Services and Dependency Injection
• clean project and software architecture
• Git and professional development workflows
• Debugging and testing
• Deployment and operation of a web application

My goal isn't simply to provide you with finished code. You should understand how the individual parts of an application interact, why certain architectural decisions are made, and how you can later develop full-stack applications independently.

If you are already working on your own application, a school, technical college, university of applied sciences or university project, we can work directly with your existing code and solve specific problems together.

The course is suitable for developers who have mainly worked in the frontend so far and want to learn backend development, as well as for beginners and students who want to understand modern full-stack web development from the ground up.

4.85

(13)

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

Moetez

4.85

(13)

In this training, we will try to describe what is object-oriented programming (often abbreviated as OOP) and model this approach with these different concepts. My goal is to advance the student to reach his goal without overloading it.

Amin

4.85

(13)

Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance.
Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one.
What we can cover depending on your goals:

Python fundamentals: variables, loops, functions, data structures
- Object-oriented programming (OOP)
- Data manipulation with pandas and NumPy
- Introduction to machine learning with scikit-learn
- Database management with SQL
- C and Java upon request
- MATLAB and R available for engineering/science students

Why learn with me?
I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now.
Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

Adam

4.85

(13)

doctoral student in engineering sciences provides support courses in analog and digital electronics at any DEUG level and engineering schools. having scientific and technical knowledge, three years of experience in the field of teaching, pedagogy and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they are having difficulty. for more info please contact me

Enrique

4.85

(13)

Don't settle for anything less than excellence.
I am an Aerospace Engineer with a Master's degree in Quantum Physics and have completed Ph.D. work at the University of Cambridge in Computational Physics. Additionally, I have 4 years of experience developing MATLAB and possess deep programming skills in MATLAB/Simulink family, C/C++, Fortran, and Python.

With over 12 years of tutoring experience, I have successfully guided more than 50 students worldwide to achieve distinction in various fields. Consistent results are my priority, and I strive for excellence in all aspects of my teaching.

My lessons are customized to meet each student's unique needs and are designed to be engaging and insightful.

Whether you are at a school level or require advanced or professional-level instruction, I offer support in the following areas:
- Preparation for IB/IA, A-Levels, GCSE, University Entry, or equivalent.
- Experience in preparing students to access world-class schools and universities, including Cambridge University, Oxford, Ivy League and other top institutions in the UK and US.
- University levels (undergraduate and postgraduate).
- High school studies and diploma programs.
- Assistance with specific projects at a professional level, including job interview preparation.
- Extensive experience working with children.

Every lesson is meticulously planned in advance to ensure that it aligns with your goals and targets areas for improvement.
I prioritize a dynamic and interactive learning experience, with one-on-one sessions tailored to your individual requirements. Lessons will be conducted via webcam, enabling you to connect from anywhere.

I have a highly flexible schedule and can adapt to accommodate your needs.
If you have any questions about my teaching method, availability, or pricing, please don't hesitate to reach out. I am here to assist you and provide the support you need.

Zakaria

4.85

(13)

* This digital training aims to introduce you to the Scratch tool and through the game world, and gradually, to discover programming concepts such as loops, conditions or variables. It is aimed at anyone who is new to Scratch and who wants to create games and animations.

* Learning programming will allow students to develop their skills and will certainly allow them to meet the expectations of the future working world and emerging careers.

* In addition, learning programming allows the development of algebraic, algorithmic and computational thinking. Programming also helps to improve and develop students' sequencing ability, as well as their communication skills. Thus, there are several advantages to teaching programming, but the important thing is to remember that this learning teaches students that digital is not only for entertainment, but that it is possible to become creators. active and creative content.

Gaëlle

4.85

(13)

While adults are still debating whether kids should use AI, they are already using it.
The question isn't "should they?" it's "how do we do it intelligently?"

In this course, your child will discover:
✓ What AI actually is: not magic, not mystery. How machines think, what they can do, what they can't
✓ How ChatGPT really works: not just "ask a question and get an answer," but why it responds that way, where it fails, when to trust it
✓ What LLMs are (Large Language Models): in language they understand, not tech jargon
✓ Create with AI: custom avatars, interactive stories, real projects using real tools
✓ Think critically about AI: Bias, privacy, creativity. What does AI do better than humans? What can't it do?
✓ Real-world applications: How AI transforms medicine, education, art, gaming, everyday life

Why this is different:
Most AI courses for kids teach "here's the tool, use it." I teach how to think about AI.
Your child will learn to see AI not as black magic or a solution to everything, but as a powerful tool with real limits.
And, more importantly: that they can control how they use it.

What they take home:
Real projects they created (custom avatar, interactive app, analysis of a real AI case study). A genuine understanding of how it works. And the ability to use AI responsibly and creatively.

Format: Online | 60–90 min sessions | Flexible, adapted to their age and pace

For curious kids asking "How does ChatGPT actually know things?"

Salah

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Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

Amine

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(13)

Discover programming lessons suitable for children! With a fun and educational approach, my lessons allow young minds to dive into the fascinating world of programming. Provide your children with an enriching learning opportunity in a fun and stimulating environment.

Baia

4.85

(13)

I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work.

Topics include:
Python fundamentals through a finance lens (data structures, functions, control flow).
Working with financial data and datasets.
Performance benchmarking and writing efficient code.
Applying concepts from Hilpisch's Python for Finance.

Adam

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(13)

🐍 Python Course – Learn to code and create your projects!

This course is for anyone who wants to:

✅ Learn Python from the beginning
✅ Strengthen their programming skills

📚 On the program:

Variables

Loops

Functions

Data structures

Practical projects for implementation

💡 How does the course work?

Clear explanations to understand the programming logic

Targeted exercises adapted to your level

Concrete projects to create your own applications

🎯 My goal:

Helping you understand the logic behind the code

Progress at your own pace

Create your own projects in Python and gain independence

Youssef

4.85

(13)

This computer science support course is designed for students and learners wishing to strengthen their foundations or improve their level in computer science and programming.
I support participants in a pedagogical and progressive manner, adapting to their level and objectives (university courses, training, practical work, exams, projects).
The goal is to understand, practice and gain autonomy through clear explanations and concrete examples.

Verónica

4.85

(13)

Primary School Teacher. I offer personalized guidance in developing lesson plans and learning activities adapted to current educational regulations. During our sessions, you will learn to structure and write a complete lesson plan, including specific competencies, assessment criteria, core knowledge, methodology, addressing diversity, evaluation, and learning situations. My goal is to help you understand each section so you can independently develop a coherent, rigorous, and high-quality lesson plan.

You will learn to design practical, creative proposals, developing the necessary skills to apply them in the classroom or in competitive examination processes.

Ammar

4.85

(13)

A- TOPICS YOU CAN EXPLORE AND MASTER:
1- PYTHON FOUNDATIONS
• Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming
• Lists, tuples, dictionaries, sets, comprehensions, debugging, and writing clear, reusable, well-structured code
• Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management

2 — PROGRAMMING, ALGORITHMS, AND COMPUTER SCIENCE FOUNDATIONS
• Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design
• Fundamental data structures including arrays, lists, stacks, queues, dictionaries/hash tables, sets, trees, graphs, and their appropriate use
• Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies
• Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges

3- DATA PREPARATION AND EXPLORATION
• NumPy and pandas for importing, cleaning, transforming, filtering, grouping, reshaping, and merging data
• Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation
• Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation

4- MATHEMATICAL FOUNDATIONS
• Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics
• Loss functions, gradients, distance measures, regularization, likelihood, and model complexity
• Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms

5- SUPERVISED MACHINE LEARNING
• Linear and polynomial regression, logistic regression, and regularized models
• k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers
• Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results

6- UNSUPERVISED LEARNING
• Clustering using k-means, hierarchical clustering, and density-based methods
• Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery
• Method selection, evaluation of data structure, and interpretation of results without predefined labels

7- MODEL EVALUATION AND IMPROVEMENT
• Training, validation, and test sets; cross-validation; hyperparameter optimization
• Accuracy, precision, recall, specificity, F1 score, ROC–AUC, confusion matrices, MAE, MSE, RMSE, and R2
• Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization

8- DEEP LEARNING
• Neural-network foundations, activation functions, forward propagation, backpropagation, and gradient descent
• Multilayer perceptrons, convolutional neural networks, recurrent neural networks, and Transformer foundations
• TensorFlow, Keras, or PyTorch depending on the learner’s project and working environment

9- ARTIFICIAL INTELLIGENCE APPLICATIONS
• Natural language processing, text classification, embeddings, sentiment analysis, and foundations of language models
• Computer vision, image classification, fundamental principles of object detection, and image preprocessing
• Recommendation systems, forecasting, anomaly detection, intelligent automation, and decision-support applications

10- GENERATIVE AI AND LARGE LANGUAGE MODELS
• Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation
• Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant
• Reliability, hallucinations, bias, privacy, responsible use, and appropriate human validation

11- TOOLS AND LIBRARIES
• Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras, and PyTorch
• Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel, and Power BI when useful to the project
• Additional libraries may be introduced depending on the selected specialization and dataset

12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION
• Complete projects covering data preparation, model development, evaluation, interpretation, and presentation of results
• University assignments, dissertations, theses, research projects, portfolio projects, technical interviews, and professional applications
• Code review, debugging, documentation, reproducibility, model comparison, and communication of results

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B- PERSONALIZED TUTORING: LEARNING HOW TO REASON
Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected.

My lessons help you move beyond simply copying code or using models as “black boxes.” You will learn how to define the problem correctly, prepare the data, select an appropriate algorithm, understand how it works, train and evaluate the model, diagnose errors, improve performance, and interpret results rigorously and responsibly.

Each lesson is personalized according to your current level, mathematical background, programming experience, dataset, university work, research project, interview preparation, or professional objective. We begin by identifying your existing knowledge, software environment, expected outcomes, and main conceptual or technical difficulties. We then establish a structured learning plan.

The first lesson combines a discussion of your background, objectives, and tutoring needs; an initial assessment of your current knowledge; personalized planning and organization of future sessions; and a short trial lesson to determine the most effective learning approach.

A typical session may include conceptual explanation, development of mathematical intuition, live coding, guided implementation, model evaluation, technical problem solving, and a concise summary of the next steps.

You may work with your own dataset, university assignment, research project, or professional problem, provided that confidential information is handled appropriately. I can also provide structured examples and datasets suited to your level.

My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.

Mariam

4.85

(13)

This course is designed for students and adolescents who want to build a strong beginner-friendly foundation in Computer Science.
Whether you're completely new to Computer Science or need help with a specific programming subject, the course can be customized to match your needs.
Need help with C++ or programming? You can provide me with your syllabus, course outline, or the topics you're studying, and I'll tailor the lessons around what you need to learn.
Learning with friends? Group lessons are also available, allowing you to learn together while following the same customized course.