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

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From 47 $ /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.

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

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

Full-stack web development with Angular, NestJS & PostgreSQL

47 $ /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.

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

47 $ /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.

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Engineer and senior professor of engineering sciences provides support courses in analog and digital electronics at all levels, engineering schools. having a scientific and technical knowledge, five years of experience in the field of teaching, teaching and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they have difficulties. for more info please contact me

Adam

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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

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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

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* 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

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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.

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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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🚀 Want to become a web development expert? Join my courses to learn how to master MERN and MEAN stacks, the modern technologies used by leading companies to develop robust and scalable web applications.

I am a Full-Stack developer with several years of experience building web applications using MERN (MongoDB, Express, React, Node.js) and MEAN (MongoDB, Express, Angular, Node.js) technologies. I will guide you through practical projects and fundamental concepts to enable you to become a successful, independent developer.

The training program includes:

MERN Stack:

- Introduction to MongoDB, Express, React, Node.js
- Creation of RESTful APIs with Express and Node.js
- Integration of NoSQL databases with MongoDB
- Front-end development with React (hooks, state management, routing)
- Authentication and session management with JWT
- Deployment of MERN applications on services like Heroku, Netlify, or AWS

MEAN Stack:

- Discovery of Angular and its concepts (directives, services, modules, etc.)
- Using Express to develop RESTful APIs
- Connection with MongoDB and data management
- Development of dynamic interfaces with Angular
- Integration of web development best practices

Adam

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🐍 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

Verónica

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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

-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
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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I'm a working MEP engineer, currently building Python automation for Revit workflows daily - plan checks, model coordination, and repetitive drafting tasks. I teach other engineers, architects, and BIM professionals how to do the same, using pyRevit and real project workflows, not toy examples.

Topics include:
pyRevit fundamentals and setup
Automating repetitive Revit tasks (model checks, plan generation, data extraction)
Writing custom scripts for your firm's specific workflows
Applying Python automation to real MEP/BIM projects

Yassine

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I am a certified computer science professor who helps graduates and students with exam retakes and competitions. I tutor preparatory classes (MPSI, MP, PSI, ECS, etc.) up to university level (Bachelor's & Master's in Science or Economics). My method is based on understanding the lessons, practicing correctly, organizing the concepts, and completing exercises and problems of your choice. Each session includes verbal exercises, methodological tips, and subsequent personalized advice. You will receive a video recording and an annotation in PDF format after each session. The online courses are conducted via Google Meet, 5 days a week, with flexible scheduling. I am available between sessions to answer questions. Contact me for an initial consultation.

Mariam

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This cohort is designed for young people who want to learn in an affordable, flexible, and enjoyable way without having to dedicate a huge amount of time each week or even just extra support.

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.

Pratiksha

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Python Level 1Workshop

**Course Description**

Want to learn programming from scratch? This beginner-friendly Python course introduces students to coding through interactive lessons, practical exercises, and fun mini-projects.

Students will learn how to write Python programs, work with different types of data, take user input, make decisions using conditions, and repeat actions using loops. Each concept is explained step by step with real-life examples and hands-on coding activities.

**What You Will Learn**

* **Lesson 1: Your First Python Program** — Learn the `print()` function, display messages, and create simple programs.
* **Lesson 2: Variables and Data Types** — Store and work with text, numbers, and other basic data.
* **Lesson 3: User Input and Calculations** — Build interactive programs that accept user input and perform calculations.
* **Lesson 4: Conditional Statements** — Use `if`, `elif`, and `else` to make programs respond to different situations.
* **Lesson 5: Loops and Mini-Projects** — Use loops to repeat actions and apply your skills in practical coding challenges.

**Hands-On Projects**

Students will apply their learning by building beginner-friendly projects such as a calculator, a number-guessing game, and a Rock-Paper-Scissors game.

**Who Is This Course For?**

* Children and teenagers aged 8–16.
* Complete beginners with no prior programming experience.
* Students who want to develop logical thinking, problem-solving, and computational skills.
* Learners who want to explore programming through practical projects.

**My Teaching Approach**

I explain concepts step by step, use relatable examples, and encourage students to write their own code instead of simply copying solutions. Lessons are adapted to each student's pace, with coding exercises and challenges to strengthen understanding.

**No prior coding experience is required.** Students need a computer and an internet connection to participate.

By the end of Level 1, students will have a solid foundation in Python basics and the confidence to start creating their own simple programs.