quantum machine learning, python, java, oracle, data structure

من 33.57 $ /س

I have vast experience in teaching computer subjects specially quantum computing, machine learning, python, java, oracle, data structure, excel, web technology. I teach to school going kids, younger students, college students, professionals at all levels.

المكان

عبر الانترنت من الهند

السن

الأطفال (7-12 سنة)

شباب (13-17 سنة)

الكبار (18-64 سنة)

الكبار (65 سنة فأكثر)

مستوى الطالب

مبتدئ

متوسط

متقدم

المدة

60 دقيقة

90 دقيقة

120 دقيقة

الدرس يدور باللغة

الإنجليزية

مهارات

علوم الكمبيوتر

الجاهزية في الأسبوع العادي

(GMT -05:00)

نيويورك

على الانترنت عبر كاميرا ويب

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Khalil

4.89

(64)

If you’ve ever felt that science and math are difficult, it’s probably because no one showed you how to think like a problem solver.
In my classes, you’ll learn not just formulas or code but how to truly understand concepts, apply them, and build strong logical intuition.

I teach:
• 🔢 Mathematics: From algebra and calculus to applied problem-solving for real-world use.
• 💻 Computer Science: Coding fundamentals (Python, C++), algorithms, and logical thinking for beginners and intermediate learners.
• ⚛️ Physics: Mechanics, thermodynamics, and practical examples that make abstract ideas simple and visual.

As a Software Engineer and Master’s student in Engineering at Nagoya University, I bring both academic knowledge and hands-on experience from real projects. My teaching approach is interactive, visual, and deeply focused on understanding over memorization.

Let’s turn complex problems into clear, step-by-step insights — and make learning something you genuinely enjoy.

Zakaria

4.89

(64)

For anyone wishing to learn the basics of Photoshop.
Goals :
Module 1: Will have acquired the fundamentals and basics of Photoshop.
Module 2: Will master the principles of photographic retouching
with Photoshop software.
Module 2: Will design its attractive visuals
(Brochures, flyers, business card ...) as well for printing
only for the web.

Oussama

4.89

(64)

Learn to add AI features to your applications using ChatGPT API. Taught by a Full-Stack Engineer who's integrated AI into real client projects.

What You'll Learn:
ChatGPT API Integration: Add AI chat, content generation, or text analysis to any web app
Prompt Engineering: Write effective prompts that give consistent, quality results
Production Implementation: Rate limiting, cost management, error handling, security
Real-World Deployment: Deploy AI features to AWS with proper monitoring and logging

Technologies:
OpenAI API (ChatGPT-4)
React/Next.js frontend integration
Node.js/NestJS backend
Secure API key management
Cost optimization (don't waste money on API calls)

Perfect For:
Developers: Add AI to your portfolio (instant differentiation from other candidates)
Freelancers: Offer AI integration services
Students: Build an AI-powered projects that stands out
Entrepreneurs: Add AI features to your product without hiring an AI engineer

What We'll Build:
AI chatbot for your website (customer support, FAQ assistant)
Content generation tool (blog posts, product descriptions, social media)
Text analysis features (summarization, sentiment, keyword extraction)
Custom AI assistant for your specific use case

Real Examples:

E-commerce: AI product description generator
Real estate: AI property listing writer
Marketing: AI social media content creator
Education: AI study assistant

What's Included:
Working code you can deploy immediately
Cost management strategies (API calls can get expensive!)
Error handling and fallback strategies
Production deployment checklist

No AI experience needed - just basic JavaScript/React knowledge.

Mouad

4.89

(64)

We are a team of engineers passionate about programming. We offer Python tutoring courses suitable for all levels (beginners, advanced students, CPGE students, or anyone looking to develop their skills).

Our courses combine essential foundations, practical examples and clear teaching to ensure solid and useful progress for both studies and careers.

Mohammed

4.89

(64)

This class is designed for high school students who wish to deepen their knowledge and skills in the fields of mathematics, physics and computer science.

What you will learn:
- Mathematics: We will cover topics ranging from algebra and geometry to analysis and trigonometry. Students will learn to solve complex problems, understand fundamental theorems, and apply mathematics in real-life situations.
- Physics: Basic concepts such as mechanics, electricity, magnetism, and thermodynamics will be covered. Students will conduct practical experiments to better understand physical principles and their applications.
- Computer Science: Introduction to programming, algorithms and data structures, as well as the fundamentals of data science and artificial intelligence. Students will develop real-world projects to apply their programming skills.

Class objectives:
- Keep students engaged and motivated by presenting them with challenges adapted to their level.
- Provide homework after each lesson to reinforce the concepts learned.
- Provide periodic progress reports to track each student's progress.

Who this class is for:
This class is ideal for high school students passionate about science and technology, who want to deepen their knowledge and prepare for higher education in scientific fields. Whether you're a beginner or already have a solid foundation, this class will help you progress at your own pace in a stimulating and supportive environment.

Soufiane

4.89

(64)

Hello to Data & AI students (L3 Info/Stats, Master Data Science/AI, MIAGE, engineering schools, career change...)!
My name is Soufiane, I have a master's degree in Data Science & AI.
I offer 100% professional courses:
- Python Data & AI (Pandas, NumPy, Scikit-learn, TensorFlow/Keras)
- Advanced R (Tidyverse, Caret, Shiny)
- SQL & NoSQL (PostgreSQL, MongoDB, optimization)
- Power BI / Tableau (DAX, dashboards, storytelling)
- Advanced statistics (Bayesian, time series, A/B testing)
- Machine Learning (regressions, trees, clustering, XGBoost, evaluation)
- Deep Learning (CNN, RNN, Transformers, fine-tuning)
- NLP (tokenization, BERT, sentiment, chatbots)
- Big Data (Spark, Hadoop, ETL pipelines, AWS/GCP cloud)
- Complete projects (Kaggle, real-world datasets, GitHub, professional report) Levels: L3 Computer Science/Statistics/Economics
- Master Data Science, AI, MIAGE
- Engineering schools (Centrale, INSA, ENSIIE, EPITA...)
- AI retraining / bootcamps

Why me ?
- 100% interactive course: live coding, debugging, projects, datasets
- Professional supports: Jupyter notebooks, templates, ML/DL cheatsheets
- Flexible hours: evenings, weekends, intensive courses
- At home (Cergy, Pontoise, Sarcelles – free within 15 km) or Zoom + screen sharing
- Invoices issued.

Limited places available (max 8 students). Contact me by message to schedule an appointment.
Respond quickly! See you soon to master Data & AI!

Mohamed

4.89

(64)

With over 25 years of academic teaching experience in both Mathematics, Computer Science, and Statistics. I am confident in my ability to contribute meaningfully to teaching. I have taught a diverse range of courses within the Department of Mathematics – College of Science, including both Mathematics and Computer Science Courses, both in English as well as Arabic. Additionally, I have taught Mathematics in the Department of Basic Sciences – Preparatory Year Deanship, preparing students for academic success across scientific disciplines. Earlier in my career, I also taught at the University of Khartoum in Sudan, where I contributed to building foundational skills in both Mathematics and Computing among undergraduate students. I am fluent in English, highly skilled with LMS platforms such as Blackboard, Google Meet, Zoom, MS Teams and committed to student-centered teaching. My approach integrates digital tools, real world examples, and collaborative learning to help students bridge the gap between secondary and higher education. My philosophy of teaching evolved via my long teaching experience. As I reflect on my beliefs regarding teaching and learning, I find that my mission as a teacher is threefold: - To promote positive learning. - To spark the learner’s enthusiasm for learning. - and to provide a strong foundation for lifelong learning.
I am an expert in teaching Calculus, Trigonometry, Algebra, Differential Equations, at all levels from school to university. In Computer Science I have been teaching Java Language for more than 24 years and also I teach Python and OUBuild which is a unique graphical Computer Language, MS Excel, MS Word, MS PowerPoint.

Rawadapro

4.89

(64)

I primarily offer math and computer science tutoring tailored to all levels, and even other subjects from kindergarten through high school. Lessons are explained simply and progressively, with plenty of practical exercises to ensure understanding. I support each student with patience, dedication, and kindness, adapting to their pace and needs.

Safa

4.89

(64)

Cours privés et flexibles adaptés à votre niveau, votre emploi du temps et vos objectifs pour:
- Développer une maîtrise avancée des fonctionnalités de Word.
- Manipuler facilement les formules, les graphiques et l’analyse des données sous Excel.
- Concevoir des présentations professionnelles attractives sous PowerPoint.

Mohamed

4.89

(64)

Learn calculus from an instructor with proven experience tutoring advanced calculus at the college level. This course combines rigorous academic standards with clear, student-centered explanations to help learners truly understand challenging concepts.

With experience guiding university students through advanced topics, the instruction is practical, thorough, and focused on long-term mastery—ideal for students pursuing mathematics, engineering, or science.

Raouf

4.89

(64)

Objective: To understand AI without fear, to use it to simplify one's life and to know how to identify digital traps.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?

Laith

4.89

(64)

Technology is everywhere, and understanding how it works and how to protect it can open doors to exciting opportunities. I’ve designed this course as a hands-on journey into networking, programming, and cybersecurity, where you don’t just learn theory, you practice real skills that matter in the digital world.

In this course, I’ll guide you through building and analyzing networks, writing programs with Python and other languages, and exploring how systems communicate and interact. You’ll dive into cybersecurity fundamentals, learn to identify vulnerabilities, understand how attacks happen, and practice defending systems like a pro.

Through interactive exercises, practical examples, and real-world scenarios, I’ll show you how hackers think, how organizations respond to threats, and how to secure systems effectively.

By the end of the course, you’ll have the confidence, knowledge, and hands-on experience to tackle networking, programming, and security challenges and apply these skills in your studies, career, or personal projects.

Wissem

4.89

(64)

I teach coding to beginners and intermediate students.
Lessons focus on logic, basic programming, and practical exercises.
Classes are adapted to the student’s pace.
Students can choose between website or mobile app development.Hands on dev

Malek

4.89

(64)

This course aims to introduce students to the fundamentals of computer science and modern artificial intelligence technologies. It covers essential concepts in programming, algorithms, machine learning, and AI, with both a theoretical and practical approach.

Students will learn to design algorithms, develop programs in C and Python, and implement machine learning models to solve real-world problems. The course emphasizes logic, problem-solving, and the use of modern tools in data science and AI.

Laroussi

4.89

(64)

Séance 1 : Révolutionner sa Rédaction Scientifique avec LaTeX & l'IA
Durée : 2 Heures | Niveau : Débutant | Outils : Overleaf + IA**

Première Heure : Fondations et Environnement Cloud (60 min)

1. Introduction à la Philosophie LaTeX (15 min)

- Le concept "WYSIWYM" :** Expliquer la différence entre Word (*What You See Is What You Get*) et LaTeX (*What You See Is What You Mean*). Pourquoi le contenu prime sur la forme.
- Les avantages clés :** Qualité typographique inégalée, gestion automatique des références, stabilité sur les documents longs (thèses), et gratuité.
- La structure d'un fichier :** Distinction entre le **préambule** (le cerveau : réglages et packages) et le **corps du document** (le cœur : texte).

2. Immersion dans Overleaf (25 min)

- Configuration :** Création d'un compte et premier projet "Blank Project".
- Exploration de l'interface :** Le panneau de fichiers (gauche), l'éditeur de code (milieu) et la prévisualisation PDF (droite).
- Collaboration en temps réel :** Comment partager un projet et laisser des commentaires (comme sur Google Docs).
- L'historique et les versions :** Comment revenir en arrière en cas d'erreur de compilation.

3. Atelier Pratique : Mon Premier Document (20 min)

* Écriture des commandes de base : `\documentclass`, `\usepackage[french]{babel}`, `\title`, `\author`.
* Compilation du document et observation du résultat.
* Structuration : Utilisation de `\section` et `\subsection`.

Seconde Heure : Mathématiques et Magie de l'IA (60 min)

4. La puissance des Mathématiques (20 min)

- Modes mathématiques :** Différence entre le texte (`$...$`) et le bloc centré (`\[...\]`).
- Syntaxe essentielle :** Fractions `\frac{}{}`, exposants `^`, indices `_`, et racines `\sqrt{}`.
- Introduction aux packages AMS : Pourquoi amsmath et amssymb sont indispensables pour un rendu professionnel.

5. De la main à l'écran : L'IA au service du LaTeX (30 min)

- Présentation des outils d'OCR :** Utilisation de **Mathpix Snip** (le leader) ou de modèles comme Gemini/ChatGPT pour transformer une photo en code.
- Démonstration concrète :
1. Prendre une photo d'une formule manuscrite complexe (ex: une intégrale avec des matrices).
2. Utiliser l'IA pour générer le code LaTeX correspondant.
3. Correction et insertion : Apprendre à vérifier le code généré par l'IA avant de le copier-coller dans Overleaf.

6. Conclusion et Q&A (10 min)

* Synthèse des acquis.
* Ressources pour aller plus loin
* Définition de l'exercice pour la prichaine séance.