Full-stack web development with Angular, NestJS & PostgreSQL

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From 39 Fr /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.

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

39 Fr /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.

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

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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.

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This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied.

As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others.

I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly.

Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

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With 7 years of experience as a developer in a Factory, I now develop Wordpress websites for large groups.

In the training program, you will learn to:

- Install, configure, and deploy WordPress sites
- Develop custom Wordpress themes and plugins
- Use powerful tools like ACF Pro, Gravity Forms, WPML, AIOS Security, WP rocket...
- Create custom post types and tailor-made taxonomies
- Develop pages using the right methods in HTML, CSS, Javascript & PHP
- Administer and manage a site database
- Contribute to the good natural referencing (SEO) of your site
- Use WP-Cli to speed up the maintenance of your sites
- Use Docker to containerize your local/prod projects and facilitate their management
- Administer your WP sites the right way
- And much more...

For any questions, you can contact me by PM.

See you soon,
Matthew

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I created this course especially for students having difficulty progressing in their computer programming courses/projects. I support students of all university levels. My help covers many others:
- Analysis and planning of projects
- Technological choice in languages and tools/framework
- Algorithmic and programming support
- Assistance with debugging and code correction
- Data modeling (MCD/MLD diagram, UML diagrams)

Why choose my courses?
My method is different and more adapted than that of traditional teachers because it is:
* Personalized: Adapted to your level and your specific needs.
* Interactive: Promotes interaction and visualization of concepts.
* Practical: Oriented towards practice with concrete exercises and projects.
* Proven: I have already managed to help more than 200 students in the space of 2 years.

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Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it?
This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio).
What we cover, adapted to your level and goals:
- Descriptive and inferential statistics (the ones that actually matter)
- Data cleaning, exploration, and visualization
- Regression, classification, and intro to machine learning
- Time series and forecasting basics
- R for statistical analysis and academic research

Who this is for:
- University students in statistics, economics, engineering, or biology
- Professionals wanting to move into data analysis or data science
- Researchers who need to process and present data properly

I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.

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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.

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Python is a simple, powerful, and versatile programming language, ideal for beginners looking to learn or change careers in computer science. This course will help you understand the basics of programming (variables, loops, conditions, functions) through practical, hands-on exercises.
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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.

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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.

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Writing custom scripts for your firm's specific workflows
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Core Fundamentals: Variables, loops, functions, and data structures.Object-Oriented Programming: Building reusable and clean code.Real-World Projects: Creating scripts, data analysis, or web scraping based on your goals.

Problem Solving: Learning how to debug and think like a programmer. Lessons are highly interactive. We will write code together from day one, and you will receive practical exercises after every session to build your confidence.

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This beginner-friendly course introduces students to the world of computers and computer science through simple explanation.

Students will learn how computers work, including hardware, software, memory, storage, data, and how a computer processes information. They will then explore how applications are used to create and organize information, with practical experience using tools such as Microsoft Word, PowerPoint, and Excel.

As the course progresses, students will be introduced to important computer science concepts including binary numbers, algorithms, programming, databases, networks, the Internet, and cybersecurity.

By the end of the course, students will have a good foundation in computer science and improved digital skills.