Math, Science, Computers and software at any level, from beginner to advance

Àpd 46.77 $ /h

I can teach you mathematics and science courses for levels:
- Primary
- Lower secondary

I can master you in computer and software skills:
- Programming: Any level
- Software: Any level

Before agreeing on a course, we can discuss the subject to study. In the case of a particular request, we can make a first meeting to discuss the matter to see. If I can help you, we are go!

My technique is flexible, I will assess you first then apply the teaching technique.

Informations supplémentaires

- 7+ years of professional experience
- Willingness to share and help as an educational asset.

Lieu

Utilisez Ctrl + molette pour zoomer !

Cours au domicile de l'élève :

Autour de Amsterdam, Pays-Bas

Cours chez le professeur :

Burgemeester van Duyvendijklaan, 2262 CH Leidschendam, Leidschendam-Voorburg, Netherlands

En ligne depuis Pays-Bas

Présentation

-Bachelor in Computer Science & Engineering
-4 years of computer science in the University
-Several extra courses

I am working full time as a Lead Engineer and want to share my knowledge with others.

Education

Maharshi Dayanand University, University in Rohtak, India
Major in Computer Science & Engineering from 2008 to 2012.
With an aggregate of 72% marks.
I have also completed some extra courses on computer programming and other skills.

Expérience / Qualifications

I am working full time as a Lead Engineer and want to share my knowledge with others.
I have 7+ years of professional experience.

Age

Enfants (4-6 ans)

Enfants (7-12 ans)

Adolescents (13-17 ans)

Adultes (18-64 ans)

Seniors (65+ ans)

Niveau du Cours

Débutant

Intermédiaire

Avancé

Durée

60 minutes

Enseigné en

anglais

hindi

ourdou

Compétences

Programmation informatique

Informatique

Initiation à l'informatique (rudiments)

Disponibilité semaine type

(GMT -05:00)

New York

Cours chez le professeur et par webcam

Cours à domicile

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Manoj

4.95

(21)

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

Nour

4.95

(21)

My class is for you if you want to:

- Build the skills you need to get your first Python programming project.

- Get started with Machine Learning, Data Science, Django or other hot areas that Python specializes in.

- Or just learn Python to be able to create your own Python apps quickly.

...then you need a solid foundation in Python programming. And my class is designed to give you those core skills, fast.

My class is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python.

The fact is, Python is one of the most popular programming languages in the world – Huge companies like Google use it in mission-critical applications like Google Search.

And Python is the number one language choice for machine learning, data science, and artificial intelligence. To get those high paying jobs you need expert knowledge of Python, and that’s what you will get.

Here’s just some of what you’ll learn

(It’s okay if you don’t understand all this yet, you will in the course)

· All the essential Python keywords, operators, statements, and expressions needed to fully understand exactly what you’re coding and why - making programming easy to grasp and less frustrating

· You will learn the answers to questions like What is the Python For Loop, what is Python used for, how Python switch the traditional syntax of code, and more.

· Complete chapters on object-oriented programming and many other aspects of Python.

Henri

4.95

(21)

I gave more than 300h of programming, computer science, medical physics and image processing course at postgraduate level.
From my professional experience as researcher and software engineer, I aim at giving you tools to become quickly autonomous for your own projects.

I am a computer vision and AI researcher in Amsterdam who can help you with different aspects of programming and mathematics, image processing, artificial intelligence, scientific computing, etc.
I have experience in teaching at university from bachelor to master's.
Don't hesitate to contact me for any specific request, I will always consider the best way to work together.

Speaks English, French and some Dutch.

Kelly

4.95

(21)

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.

Christophe

4.95

(21)

My teaching methods are based on my student and their requests. I like to firstly understand what exactly your level currently is where you want to go and how we can achieve it.

I prefer to let you first do it on your own and help once you get stuck. Learning from making mistakes is the best way of learning IMO.

Lessons would usually be 2 hours at a time, but the duration is flexible.

I have already tutored many students in different fields with great success.

My lessons are mainly intended for new Computer Science Engineers that are having difficulties with CSE concepts, but I have also taught normal engineering students that had to learn programming for the first time such as Python for mathematicians.

I am a BSc Graduate from TU Delft in the computer science field, and I am currently studying for my master's degree in Complex systems engineering and management with the aim of becoming a product designer/manager.

Přemysl

4.95

(21)

I can show you how to upload edit and export your video using Avid, Pinnacle or other video editor. I can teach you how to use wix online editor to create your own webpage, how to design the webpage, how to use all the options of the platform and chose best plan for your idea.

Christelle

4.95

(21)

My name is Christelle, I recently graduated from a research masters in Genetics and Psychology and I am now working as a PhD student in the genetics of Obsessive Compulsive Disorder.

I completed both my Bachelor in Psychology, and Master’s at the Vrije Universiteit Amsterdam. I have experience with teaching statistics / methodology courses to Psychology and Political Science students.

I can offer help in statistics, methodology, biological psychology, and statistical programming in R.

Other tasks I can offer my help for: feedback on written assignments, help in designing scientific figures or presentations.

Tommie

4.95

(21)

🐍 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

Garantie Le-Bon-Prof

Contacter Ahmad