special course in Algorithms with the Python language

A partir de 35.86 $ /h

Student in 2nd year of the Mathematical Master passed by the preparatory classes and admitted to the common national competition then the engineering school INPT then a degree in Mathematics. I propose an individualized pedagogy, a help with the preparation of exam competitions or questions. My goal is to advance my students without overburdening them. I give assignments after each lesson and each student according to their level and I provide useful and effective preparation and revision ideas.
This tutoring course is for familiarizing the student with programming and algorithmics and then acquiring the basics of the Python language.

Información adicional

bring your machine with you

Lugar

Conectado desde Marruecos

Acerca de mí

je propose une pédagogie individualisé, une aide à la préparation des concours des examens ou des interrogations. Mon but est de faire progresser mes étudiant sans le surcharger. Je donne des devoirs après chaque leçon et chaque étudiant selon son niveau et je fournis des idée de préparation et de révision utiles et efficaces.

Formación

Classes préparatoires où j’étais parmis les grands admis au CNC , école d'ingénieurs INPT , Licence en mathématique et applications , étudiant au Master en Mathématique

Experiencia / Calificaciones

2 ans d’expertement au cours particuliers qui m'a aider a se familiariser avec le métier d'enseignement , je donne une aide à la préparation des concours des examens ou des interrogations pour les étudiants du prepa PSI MP TSI , les étudiants de la fac S1-S4 et les étudiants du Baccalauréat. Mon but est de faire progresser mes étudiant sans le surcharger. Je donne des devoirs après chaque leçon et chaque étudiant selon son niveau et je fournis des idée de préparation et de révision utiles et efficaces.

Edad

Niños (7-12 años)

Adolescentes (13-17 años)

Adultos (18-64 años)

Tercera edad (65+ años)

Nivel del estudiante

Principiante

Intermedio

Avanzado

Duración

45 minutos

60 minutos

90 minutos

120 minutos

La clase se imparte en

francés

árabe

inglés

Habilidades

Programación

Disponibilidad en una semana típica.

(GMT -05:00)

Nueva York

En línea vía webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Mathematics for high school in Arabic,French or English

53.67 $ /h

Student in 2nd year of the Mathematical Master passed through the preparatory classes for engineering schools admitted to the common national competition I did a engineering school in Telecommunication and a degree in mathematics, I propose an individualized pedagogy, an aid to the preparation of exam competitions or questions. My goal is to advance my students without overburdening them. I give assignments after each lesson and each student according to their level and I provide useful and effective preparation and revision ideas.
This Mathematics course aims to:
Answer the student's questions (lesson points, exercises and corrections given in class).
Assess the student's comprehension (direct questions, direct application exercises, quizzes, validation of the student's cards).
Verification of the work required of the student:
- Identification of any misunderstandings
- Detailed explanation of issues not included
- Correction of possible errors
- Tips resolution method and tips.
For all the exercises / annals done together, the pupil is strongly encouraged to do everything alone and to write them on their own. The student is also asked to note any difficulties encountered as well as the time spent on each exercise. This approach aims to:
- Validation of assimilation
- The assessment of the writing
- Evaluation of efficiency (speed, absence of mistakes, ...).

Private lessons in mathematics - computer science (Prepa, S1-S4, Baccalauréat)

29.13 $ /h

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

Matías

4.95

(21)

Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning.

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.

Lina

4.95

(21)

This class is perfect for anyone taking their first steps into computer programming or early-semester engineering students looking to get familiar with Python and C++.

You’ll learn to think like a programmer, create your own programs, and unlock your creativity. Programming is fun, versatile, and practical, helping you apply concepts to real problems and other areas of study.

Enrique

4.95

(21)

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.

Danilson

4.95

(21)

This course is designed for students who want to gain a solid understanding of basic computer science concepts. It covers the logic behind computer systems, starting with the inner workings of a computer and progressing to topics such as networking, operating systems, and basic programming.

Whether you're considering a career in technology or simply want to better understand the digital world around us, this course will give you the tools you need to navigate the information age.

Juan

4.95

(21)

Python es uno de los lenguajes de programación más populares y versátiles del mundo, utilizado tanto por principiantes como por profesionales. En este curso básico aprenderás desde cero los fundamentos esenciales de Python, con un enfoque 100 % práctico y sencillo.

A lo largo de las clases veremos cómo instalar Python, escribir tus primeros programas, trabajar con variables, condicionales, bucles, funciones y estructuras de datos. También realizaremos ejercicios guiados para reforzar cada concepto y ganar confianza programando.

He diseñado este curso pensando en quienes desean iniciarse en la programación sin experiencia previa, con explicaciones claras y ejemplos útiles que podrás aplicar de inmediato. Al finalizar, tendrás las bases sólidas para continuar hacia proyectos más avanzados o el desarrollo de aplicaciones reales.

Iván

4.95

(21)

Mis clases se basan en un enfoque práctico y visual, donde el alumno aprende programando desde el primer día. Utilizo herramientas interactivas que permiten anotar, subrayar y hacer demostraciones en pantalla, lo que facilita la comprensión de conceptos y el seguimiento de cada explicación.

Comienzo cada clase revisando brevemente lo aprendido y resolviendo dudas. Luego introduzco un nuevo concepto con ejemplos claros y aplicados, y finalmente el alumno realiza ejercicios guiados o pequeños proyectos para afianzar el conocimiento. Me adapto al ritmo y estilo de aprendizaje de cada persona, reforzando la práctica y la comprensión antes que la memorización.

Puedo enseñar PHP, Java, JavaScript, HTML, CSS, C#, C, C++ y Python, tanto a estudiantes que comienzan desde cero como a quienes buscan mejorar su nivel, aprobar asignaturas o preparar entrevistas técnicas.

Mis clases están dirigidas a personas de cualquier edad, desde jóvenes en formación hasta adultos que desean aprender o reciclarse profesionalmente. Busco que cada alumno entienda, aplique y disfrute programando, desarrollando confianza y autonomía en su aprendizaje.

Raul

4.95

(21)

Soy profesor de informática especializado en programación. Ofrezco clases online personalizadas para todos los niveles. Aprenderás a programar con Python, JavaScript, HTML/CSS, bases de datos y lógica computacional. Mis clases son prácticas, claras y adaptadas a tus objetivos. Ideal para estudiantes, adultos o profesionales que quieren mejorar sus habilidades digitales.

Jesús

4.95

(21)

Programación y desarrollo web/software a varios niveles. Se pueden abordar lenguajes como HTML, CSS, Javascript, C++, SQL, entre otros.
Desde nivel totalmente principiante para aqu los que no se hayan sumergido en el mundo de la informática como para estudiantes y trabajadores de alto nivel.

Stefano

4.95

(21)

Visión 360 del ciclo de vida del software
– Programación de 0 a 100 en Python, Java, Javascript, Typescript, C# y SQL
– Diseño de módulos y patrones de arquitectura (Patrones de diseño, SOLID, Clean Architecture, Hexagonal, DDD)
– Bases de datos relacionales (MySQL, PostgreSQL, MariaDB, SQL Server, Oracle)
– NoSQL (MongoDB, Firebase, Cassandra, Neo4J)

Procesamiento y análisis de datos
– ETL con pandas, Dataform, Airflow, Apache Beam
– Streaming con Apache Spark Streaming y Apache Flink
– Almacenamiento en Data Lakes, Data Warehouses y Lakehouses (BigQuery, Databricks, Redshift)

Desarrollo Backend y APIs
– REST con Spring Boot, FastAPI, Node.js
– Autenticación, pruebas unitarias (JUnit, pytest, Jest)
– Contenerización y despliegue (Docker, Kubernetes, CI/CD)

Frontend y automatización
– Manipulación del DOM, ReactJS, Next.js
– Testing end-to-end, integración de microservicios
– Scripts de automatización y web scraping

Nandee

4.95

(21)

Esta clase está dirigida a estudiantes y desarrolladores que ya están aprendiendo JavaScript, Vue.js, Nuxt.js o Node.js, pero que necesitan apoyo directo para resolver dudas, desbloquearse y avanzar con seguridad en sus proyectos. El objetivo es ayudarte exactamente en lo que necesitas: depurar errores, entender conceptos que no te quedan claros y recibir orientación práctica para mejorar tu código.

Trabajaremos sobre tus propios ejercicios o proyectos: revisaremos tu código juntos, identificaré oportunidades de mejora y te compartiré buenas prácticas utilizadas profesionalmente. Si estás preparando una entrevista técnica o una certificación, también puedo ayudarte con ejercicios y estrategia de estudio.

Cada sesión se adapta completamente a tu nivel y a tus objetivos. Ya sea que recién estés comenzando o que ya tengas experiencia, estaré a tu lado para guiarte de manera clara, personalizada y sin sobrecargarte con teoría innecesaria. Avanzarás más rápido y te sentirás acompañado en tu proceso.

Si tienes errores que no sabes cómo solucionar, te atrancaste en un tema o simplemente quieres asegurarte de que estás programando de la mejor manera... ¡Aquí encontrarás el apoyo que necesitas para seguir creciendo como desarrollador!

4.95

(21)

This course shows students how AI is the engine behind modern video games. It’s an engaging, project-based track ideal for advanced concepts in a fun, relatable environment.

Behavioral AI: Using simple visual programming environments (like Scratch or similar platforms) to program smarter Non-Player Characters (NPCs) that react realistically to the player's actions.

Generative Assets: Learning how game studios use generative AI tools to rapidly create textures, background stories, or simple game environments.

Interactive Storytelling: Exploring decision-tree logic and how AI can adapt game narratives based on player choices, making the game feel dynamic and intelligent.

SEN Alignment: The visual and immediate feedback loop of game design environments is highly effective for kinetic learners and helps maintain focus.

Alexander

4.95

(21)

Este curso está diseñado para personas que desean aprender programación y desarrollo web Full Stack, así como aplicaciones prácticas de Inteligencia Artificial, desde un enfoque claro, estructurado y orientado a proyectos reales.

A lo largo del curso aprenderás a desarrollar aplicaciones web completas, integrando Frontend y Backend, manejo de bases de datos y consumo de APIs. Además, conocerás cómo aplicar Inteligencia Artificial y automatización en proyectos reales, incluyendo el uso de modelos de lenguaje (IA generativa).

El enfoque es 100% práctico, basado en mi experiencia profesional como desarrollador senior y formador de bootcamps, con ejercicios guiados, buenas prácticas y acompañamiento constante para que puedas avanzar con seguridad y confianza.

Carlos

4.95

(21)

Création d'un site web.
Sous une distribution Linux ou Windows.
Installation de la dernière version de django
Installation de la dernière version de python, sous windows
Sous Linux configuration de environnement python.
Installation d'un IDE VSCODE

Eryk

4.95

(21)

En este curso aprenderás a diseñar, ejecutar y automatizar pruebas de software aplicando las mejores prácticas de Quality Assurance (QA) utilizadas en proyectos reales de la industria.

Comenzaremos desde los fundamentos del testing de aplicaciones, entendiendo el rol del QA en el ciclo de vida del software, los tipos de pruebas y la correcta definición de casos de prueba. Luego avanzaremos hacia la automatización de pruebas mediante scripts, abordando conceptos clave como pruebas funcionales, regresión, validación de APIs y ejecución automatizada.