C Programming Language for Beginners in German/English

Van 43.02 $ /h

Your C tutoring course is designed to provide you with a comprehensive understanding of the C programming language, its syntax, and its fundamental concepts. Throughout the course, you will learn the basics of C programming, including data types, control structures, functions, arrays, pointers, and structures.

You will also learn how to use the standard C library functions and how to work with files in C. Additionally, you will learn about dynamic memory allocation and how to create and manage dynamic data structures in C.

Extra informatie

The course will include hands-on programming exercises and projects to help you practice and apply the concepts you learn.

Locatie

Online vanuit Oostenrijk

Over

Ich bin sehr geduldig und achte drauf,dass meine Schüler den Stoff wirklich verstehen, damit sie keine Probleme bei den Schularbeiten bekommen. Bitte zögert nicht lange und kontaktiert mich, wenn ihr Hilfe in Mathematik braucht.

Opleiding

Ich habe meine Matura in einem Realgymnasium ( Naturwissenschaftliches Gymnasium) gemacht.
Ich studiere derzeit Mathematik an der Universität Wien.
Neben dem Studium gebe ich auch regelmäßig Nachhilfe in Mathematik.

Leservaring

Ich gebe seit mehr als 8 Jahren Nachhilfe in Mathematik.
Es besteht die Möglichkeit, dass die Nachhilfe bei mir oder beim Schüler oder auch online stattfindet.

Leeftijd

Kinderen (7-12 jaar oud)

Tieners (13-17 jaar oud)

Volwassenen (18-64 jaar oud)

Senioren (65+ jaar oud)

Niveau van de leerling

Beginner

Duur

60 minuten

90 minuten

120 minuten

De les wordt gegeven in

Duits

Engels

Perzisch

Vaardigheden

Computer programmeren

Beoordelingen

Beschikbaarheid typische week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Excel for Beginners ——— We'll go into more detail about all of the topics a beginner needs to learn Excel as quickly as possible.

43.02 $ /h

Excel is in great demand these days, both in academic training and in the world of work.
In this course we will learn all the topics that are necessary in order to be able to use Excel professionally later on.
All topics are explained in a very simple and understandable way.

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Java-Programming-Language for beginners/Java-Programmierersprache für Anfänger

43.02 $ /h

Java is a popular programming language that is widely used for developing mobile apps, web applications, and video games. It is known for its "write once, run anywhere" philosophy, meaning that Java code can be written on one platform and run on many different types of devices. Java is also known for its large ecosystem of tools and libraries, making it a popular choice for developers.

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Manoj

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I am a Professional Full Stack Developer with over 15 years of hands-on experience in software engineering, system design, and artificial intelligence.
I’ve worked across frontend, backend, DevOps, and AI, building enterprise-grade systems for real-world applications — from large-scale microservices to cognitive AI platforms.

I’m passionate about teaching the real, modern way of coding — combining deep technical foundations with today’s most advanced technologies: Generative AI, Agentic systems, RAG architectures, cloud automation, and intelligent DevOps.

Whether you are a beginner exploring your first “Hello World,” a professional improving your stack, or a researcher/developer exploring AI systems, I can guide you step-by-step — conceptually, practically, and strategically.

🧩 What You Will Learn
🖥️ Front-End Development

Master how to build responsive, interactive, and high-performance interfaces:

HTML / HTML5 – Structure, semantics, forms, accessibility

CSS / CSS3 / SCSS – Layout, animations, responsive design, Flexbox, Grid

Bootstrap / Tailwind / Material UI – Rapid design frameworks

JavaScript (ES6+) – Functional programming, event loop, closures, async/await

TypeScript – Strong typing, interfaces, decorators, generics

React.js / Next.js – Components, hooks, state management, routing, APIs

Angular (1.x to 17) – Modules, dependency injection, RxJS, advanced architecture

Vue.js (optional) – Reactive programming, lifecycle management

jQuery / AJAX – Legacy support and backend communication

Web Performance – Lighthouse, Core Web Vitals, PWA, caching strategies

⚙️ Back-End & Enterprise Development

Build scalable, secure, and intelligent server-side systems:

C / C++ / Data Structures / Algorithms / OOPS

Java / J2EE / Spring / Spring Boot / Spring Cloud / Hibernate / Struts / Wicket

Microservices Architecture – API gateway, service registry, inter-service communication

Node.js / Express / NestJS – Modern JavaScript/TypeScript backend

REST & SOAP Web Services – API design, security, documentation (Swagger / Postman)

Python (Flask / FastAPI) – REST APIs, ML pipelines, automation

Shell Scripting (Linux/Unix) – Automation, cron jobs, log parsing, DevOps scripting

PHP / Laravel / CodeIgniter – Classic web backend development

Containerization & Orchestration: Docker, Kubernetes, Helm

CI/CD & Cloud: Jenkins, GitHub Actions, Azure DevOps Pipelines

☁️ Cloud & DevOps Mastery

Learn to build, deploy, and scale applications on the cloud:

AWS (EC2, S3, Lambda, DynamoDB, API Gateway, ECS)

Azure (App Services, Functions, CosmosDB, DevOps)

Google Cloud (GCP, Vertex AI, BigQuery, Cloud Run)

Monitoring & Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Grafana, Prometheus

Infrastructure as Code (IaC): Terraform, AWS CDK, Azure Bicep

Version Control & Collaboration: Git, GitHub, GitLab, Bitbucket

CI/CD Pipelines: Build, test, deploy automation, rollback, release management

📱 App Development

Develop mobile and hybrid apps end-to-end:

Android (Java/Kotlin) – UI/UX, activity lifecycle, API integration

Hybrid Frameworks: Ionic, Cordova, React Native

Progressive Web Apps (PWA) – Offline-first, caching, mobile optimization

Firebase Integration: Auth, Firestore, Cloud Messaging

🤖 Artificial Intelligence & Machine Learning

Learn how modern AI systems are built and deployed:

AI Fundamentals: Neural networks, supervised/unsupervised learning

Machine Learning with Python: scikit-learn, TensorFlow, PyTorch

Natural Language Processing (NLP): Transformers, BERT, GPT

Computer Vision: OpenCV, YOLO, Image Classification

AI APIs & Integrations: Google DialogFlow, Azure Cognitive Services, OpenAI API

🧬 Generative AI, RAG & Agentic Systems

Special focus on real-world AI integration and automation:

Generative AI Models (GPT, Claude, Gemini, Llama, Mistral) – Practical implementation

Prompt Engineering – Designing powerful, reusable prompt frameworks

Retrieval-Augmented Generation (RAG) – Hybrid search + generation architectures

Agentic AI Systems – Building autonomous multi-agent workflows (e.g., AutoGPT, CrewAI)

Agentic RAG – Contextual memory, chaining, and reasoning systems

LangChain / LlamaIndex – RAG pipelines, document loaders, embeddings, vector DBs

Vector Databases: Pinecone, Chroma, Weaviate, FAISS

Knowledge Graphs & Context Management – Enterprise data linking with RAG

AI App Deployment: FastAPI + Streamlit + LangServe + Docker

Copilot & AI Tools: GitHub Copilot, ChatGPT API, Code Interpreter, Vertex AI Studio

Google AI Developer Kit (ADK) – Edge AI, TensorFlow Lite, Coral, and model serving

Voice AI & Conversational Design: Dialogflow CX, OpenAI Assistants, ElevenLabs

🔬 Data, Testing & Quality

Database Systems: MySQL, PostgreSQL, MongoDB, Oracle, DB2, Redis

Database Design: ERD, normalization, indexing, performance tuning

Testing Tools: JUnit, Mockito, Selenium, Cypress, Postman

TDD / BDD Practices: Unit, integration, and end-to-end testing

Logging & Monitoring: ELK, Splunk, Prometheus

Performance Optimization: Profiling, caching, concurrency

🧩 Operating Systems & Scripting

Windows / Linux / Ubuntu / Unix Administration

File Systems, Permissions, Networking, Process Management

Shell Scripting / Automation / Log Analysis

System Security and SSH Hardening

🧠 Bonus Topics

Mathematics for Programmers – Logic, combinatorics, probability, graph theory

Game Development Basics: Unity, Phaser.js, HTML5 Canvas

AI Ethics, Data Privacy, Responsible AI Design

Automation Projects & Web Crawling / Scraping: BeautifulSoup, Selenium, Puppeteer

No-Code / Low-Code Integrations: Zapier, Make, AI automations

Mahmood

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Java is one of the most important of all computer programming languages. But learning Java can seem like a daunting task. Not any longer! In this course I will train you well in Java Programming step-by-step. Starting from basis right through the more advanced topics. No prior knowledge is required.

Course outlines:
- Objected Oriented Programming concepts (OOPS)
- Core Java Programming Introduction of Java
- Data types and Variables
- Methods
- Control Flow Statements
- Operators and Expressions
- While and do-while Loops
- Object-oriented Programming
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Python is the fastest growing programming language. Master it and you can solve business and science problems!

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Kelly

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Python is a Programming Language widely used with huge capabilities on building projects of many different kinds but the most important advantage is that it is easy to learn and it can be a good start for someone to embrace Computer Science and improve their logical thinking.

Nousha

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Learning to program can be a big challenge, especially if you have to do it alone. There are plenty of videos or documentation to be found, but where do you start? Sometimes you can't see the forest for the trees.

With my experience in programming, mainly in the language C# and framework .NET, and the many years of experience in supervising students, this is an ideal combination in offering guidance in programming.

Albert

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Are you a high school or high school student and have difficulty understanding and solving math or physics problems? Then I am someone who would like to help you with that. I often see that in standard classroom teaching is succinctly taught. As a result, the student misses out on the whole picture, making the teaching material and the problems vague and unclear. My goal is to take the time for each student to complete the whole picture and guide them through complex problems, so that the student can not only take tests and exams with ease, but also enjoy learning the material.

Mehdi

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I am a certified communication scientist (WO, MSc.) who teaches computational data analysis methods in SPSS, Python, R and thesis supervision.

During the lessons we can cover the basics of computational methods or data analysis. I can also help you gain a better understanding of the data structure, design a questionnaire in QUALTRICS (or similar program), or collect data together with you. We can do this in the programs Python, R or SPSS. I am also an expert in supervising theses.

I give lessons of one hour as standard, but these can be longer if desired. If you are looking for guidance for a longer period, I can offer you a package where you get a discount on my hourly rate.

I have experience teaching computational data analysis and machine learning at university and college level. I myself have a research master's degree in communication sciences.

Rajitha

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If you want any help with Java or any other programming language, I can assist you with it.

Web Application Development is also my expertise. I can guide you to build a successful web application.

Yoeri

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Subjects I cover:

* Mathematics A & B

* Physics

* Statistics, Calculus & Algebra (up to WO Bachelor level)

* Chemistry & English (up to VWO level)

* Other subjects are also possible

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🐍 Python Programming – Learn by Doing
Course Overview
This class is designed for anyone who wants to learn Python from scratch or strengthen their coding skills. Whether you’re a complete beginner or looking to apply Python in data analysis, automation, or web development, this course will guide you step by step with practical examples and projects.

What You’ll Learn
✅ Python basics: variables, data types, operators, and control flow

✅ Functions and modules: writing reusable, clean code

✅ Working with files and data (CSV, JSON, text)

✅ Object-Oriented Programming (OOP) concepts

✅ Libraries for real-world tasks (e.g., pandas, matplotlib)

✅ Problem-solving strategies and debugging techniques

Teaching Style
Hands-on learning: You’ll write code in every session.

Project-driven: Build mini-projects like calculators, data visualizations, or simple web apps.

Adaptable pace: Lessons tailored to your level and goals (academic, professional, or hobby).

Who Is It For?
Students preparing for exams or computer science courses

Professionals wanting to automate tasks or analyze data

Curious learners who want to start coding as a hobby

Practical Details
📍 Online or in-person (depending on your location)

⏱ Flexible scheduling to fit your availability

🧑‍🏫 Personalized guidance with clear explanations and exercises