AI for Kids: Learn Artificial Intelligence in a Fun, Safe & Creative Way

Van 50.91 $ /h

Give your child a head start in the future by introducing them to Artificial Intelligence in a way that’s fun, simple, and safe.

In this hands-on class, children learn how AI works and how to use tools like ChatGPT to learn faster, think creatively, and solve problems—all through interactive activities, games, and real-life examples designed just for kids.
No technical background needed. Just curiosity and imagination!

🚀 What Your Child Will Learn

✔ What AI is (explained simply) and how it’s used in everyday life
✔ How to talk to AI properly and ask smart questions (prompt skills for kids)
✔ AI for school:
- Understanding lessons better
- Getting help with homework (the right way!)
- Creating summaries and explanations in kid-friendly language

✔ AI for creativity & fun:
- Writing stories, poems, and comics
- Creating images with AI
- Brainstorming ideas for projects and presentations

✔ AI for organization & confidence:
- Planning homework and study time
- Improving writing and communication skills
- Learning how to explain ideas clearly

✔ Safe & responsible AI use:
- Understanding what AI can and can’t do
- Using AI ethically and safely
- Building digital responsibility from an early age

👨‍👩‍👧‍👦 Who This Class Is For
- Children ages 8–14
- Curious kids who love learning and technology
- Students who want extra support with schoolwork
- Creative kids who enjoy writing, drawing, and problem-solving
- No experience required

💡 Why Parents Love This Class
✔ Designed specifically for children
✔ Focuses on learning, creativity, and critical thinking — not shortcuts
✔ Encourages independent thinking, not copying
✔ Builds future-ready skills in a positive and age-appropriate way
✔ Hands-on, engaging, and easy to follow

This is not a boring tech lecture.
Children learn by doing, exploring, and creating—with guidance every step of the way.

🎓 By the End of the Class
- Your child will:
- Feel confident using AI as a learning helper
- Understand how to use technology smartly and responsibly
- Improve school skills, creativity, and organization
- Be excited about learning and the future of technology

👉 A perfect introduction to AI for young minds—turning curiosity into confidence.

Extra informatie

Just bring your computer and a willingness to learn.
No coding or prior experience needed.

Locatie

Online vanuit Marokko

Over

Fort de mon parcours d’ingénieur et de mes années en classes préparatoires, je comprends parfaitement les défis que rencontrent les étudiants face à des matières techniques comme les mathématiques, la physique ou la programmation. Aujourd’hui, je mets mon expertise à votre service à travers des cours dynamiques, adaptés à vos besoins, que vous soyez lycéen, étudiant en prépa ou en école d’ingénieur.

Je propose des cours personnalisés pour :

Maîtriser les concepts fondamentaux en mathématiques et physique (du lycée jusqu’au niveau universitaire)
Acquérir des compétences solides en programmation (Python, C, R, MATLAB, JavaScript)
Vous initier ou vous perfectionner en gestion de bases de données avec SQL
Préparer vos examens ou concours dans un cadre motivant et bienveillant
Mon approche est à la fois pédagogique et pragmatique : je vous aide à progresser rapidement et à appliquer ces compétences dans vos études ou votre futur métier.

💡 En ce moment : soutien intensif pour la période d’examens avec des cours accélérés et adaptés à vos urgences !

Opleiding

🎓Ingénieur en génie de l'eau, IAV Hassan II (spécialisation en modélisation et intelligence artificielle appliquée aux ressources naturelles)
🎓Classes préparatoires aux grandes écoles – filière Mathématiques, Physique et Sciences de l’Ingénieur
🎓Baccalauréat – Sciences Mathématiques (mention très bien)

Leservaring

💼Ingénieur de développement de modèles en intelligence artificielle pour la gestion de l’eau et des ressources naturelles
💼Tuteur expérimenté en mathématiques, physique et programmation (Python, R, C, MATLAB, JavaScript) pour lycéens et étudiants universitaires
💼Accompagnement d’étudiants en bases de données (SQL) et en analyse de données (Python/R)
💼Soutien pédagogique en résolution de problèmes, préparation aux examens, et optimisation de la gestion du stress face aux échéances académiques.

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

Gemiddeld

Gevorderden

Duur

60 minuten

De les wordt gegeven in

Frans

Engels

Arabisch

Vaardigheden

Computerwetenschappen

Computer programmeren

Computer engineering

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

Scientific subjects (Math, Physics, Chemistry) for students of the French mission/for middle and high school students

18.76 $ /h

This course aims to provide you with the knowledge and tools needed to better understand and master mathematics and physics. We offer personalized support to students of all specialties.

Sessions can be tailored to your specific needs, whether you are alone or in a group. We adjust the sessions according to your level and expectations.

Please do not hesitate to contact us if you have any questions.

Lees meer

Programming with Python, with C and database management (Introduction to machine learning)

18.76 $ /h

Looking to master programming and become a skilled developer? In this course, you'll learn the basics of Python and other programming languages, as well as how to use them to build machine learning models. We also offer specialized assistance for students in programming and database management using SQL.

Python is a powerful general-purpose language used in web development, data science, software prototyping, and more. Its simple and easy-to-use syntax makes it an excellent choice for beginners learning to program.

Additionally, upon request, we offer courses in other programming languages such as C, JAVA, R, and MATLAB.

Classes can be conducted remotely or in person, and we tailor our instruction to meet individual or group needs.

If you have any questions, feel free to contact us.

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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.

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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

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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