Web and mobile development for beginners.

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From 23.74 Fr /h

Web and mobile development tempts you or
If you want to learn to program video games with Unity 3d or UE4.
You are at the right place.
In this course you will learn web, mobile and gaming programming using the languages of your choice and the most suitable frameworks.

Extra information

You just need a computer and connectivity

Location

Online from Senegal

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Student level

Beginner

Intermediate

Duration

45 minutes

60 minutes

120 minutes

The class is taught in

French

English

Skills

Web development

Computer programming

Computer basics

Availability of a typical 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

Matías

4.88

(84)

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.

Baia

4.88

(84)

Are you ready to create interactive, visually appealing websites that stand out in today’s competitive market? In this course, you’ll master the essential front-end development skills:

✅ HTML, CSS, and JavaScript – Build responsive and modern web pages
✅ React & Vue.js – Learn cutting-edge frameworks for dynamic UIs
✅ Real-World Projects – Work on hands-on projects to strengthen your skills
✅ Problem-Solving & Creativity – Develop intuitive, user-friendly interfaces

🔹 Who is this course for?

- Beginners who want to break into web development
- Developers struggling with front-end concepts
- Anyone looking to level up their skills and build real projects

🚀 Stuck on a project? Want to learn high-income tech skills?
This course will help you gain confidence, land opportunities, and grow in the tech industry.

📩 Contact me for more details and start your front-end journey today!

Oussama

4.88

(84)

Learn to build production-ready web applications from a professional engineer with 3+ years of experience delivering real client projects

What You'll Master:
Frontend: React, Next.js, TypeScript, responsive design, state management
Backend: Node.js, NestJS, REST APIs, authentication (JWT, OAuth), security best practices
Databases: PostgreSQL, MongoDB - proper schema design, queries, optimization
DevOps: Deploy to AWS (EC2, RDS, S3), Docker, CI/CD with GitHub Actions
Integrations: Stripe payments, email automation, file uploads

What Makes This Different:
Work on YOUR project (PFE, portfolio, startup MVP) - not generic tutorials
Learn production debugging - how to fix real errors, not just write code
Get your app deployed LIVE with proper CI/CD and monitoring
GitHub repo ready to show employers with professional commit history

Perfect For:
Students: Ship your projects with professional standards (authentication, deployment, documentation)
Career Switchers: Build 2-3 portfolio projects that get you hired
Junior Devs: Learn what companies actually need (debugging, testing, deployment automation)

What You'll Build:
Full-stack application deployed to AWS
User authentication system (login, OAuth, password reset)
Admin dashboard with real-time data
Payment integration with Stripe
Complete with CI/CD pipeline and monitoring

Bonus: I'll review your resume and help position you for remote developer roles.

Amin

4.88

(84)

By delving deep into the practical applications of statistics and data science, this course is designed to set you up for success.

Learn from real-world examples: Instead of spending hours on theoretical material and trying to relate it to practical issues, we will focus solely on applied statistics. Programming will allow you to apply theory to real-world problems, equipping you with the knowledge and skills you need to succeed.

We won’t be spending hours solving math problems by hand for reinforcement, as this isn’t school. Instead, we’ll use cutting-edge methods and code libraries that leverage the latest software releases to maximize productivity and efficiency.

If you have any further questions, please do not hesitate to contact us.

Brahim

4.88

(84)

Course in standard java and/or entreprise java programming and/or frameworks used in the most java projects.
The course takes place in a theoretical course format, followed by small practical exercises and will be finalized by a mini-project that encompasses all that is seen in the course.
We use the n-tier architecture under heavy applications or web applications.

Giuliano

4.88

(84)

Python is a very powerful and multi purpose tool. Image analysis, data analysis. Do you want to create your own software?
Do you want to manage your own hardware?
For who may want to learn Python or need help for a project I would gladly help you with that!

Salah

4.88

(84)

Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

Francisco

4.88

(84)

Hi!

Welcome to my class on Matlab programming! As a PhD student in Geophysics my main tool is my computer. In order to do science one needs to know how to program. I often use Matlab in order to analyze data, run numerical models, plot results and much more. So, let's embark on the journey of learning Matlab and explore its diverse capabilities together!

For beginners:
I have designed it for absolute beginners to become at ease with the language within 5 sessions of 1h. Message me to know the 5 classes curriculum and I will be more than happy to share it with you!

For intermediate users:
If you already know the basics of Matlab but want to go more in-depth on certain packages this is the right place! Message me and we can discuss what your needs are!

Mohamed

4.88

(84)

In this course, you will learn how to efficiently package, containerize, and deploy Python applications and microservices using Docker. The course covers fundamental Docker concepts, best practices for structuring Python projects, and strategies for building scalable and portable applications. Through hands-on projects, you will gain practical experience in creating Docker images, managing containers, and orchestrating microservices, enabling seamless deployment across different environments.

Contact me if you want to have more information about the course!

4.88

(84)

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.

Raouf

4.88

(84)

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?

Durga

4.88

(84)

Hello and Welcome!

I am a certified corporate programming trainer specializing in Python and Data Analysis, with over a decade of experience in tutoring and software development. My goal is to make programming approachable and engaging by helping learners build a strong foundation and grow into confident, independent coders.

Over the years, I have trained students across different levels and backgrounds in Python programming, automation, and data analytics. I emphasize hands-on, practical learning supported by clear explanations and real-world examples. My teaching approach focuses on understanding core concepts, writing efficient code, and developing problem-solving skills that can be applied in professional and academic settings.

Courses Offered

1. Basic Python Programming
This course is designed for beginners who want to build a solid foundation in Python.
Topics include:
Introduction to Python and environment setup
Variables and data types
Operators and expressions
Conditional statements
Types of loops and loop control
Functions and scope
Data structures: lists, tuples, sets, and dictionaries
Mini projects and problem-solving exercises

2. Advanced Python Programming
This course is designed for learners who already know the basics of Python and want to explore its advanced features.
Topics include:
Lambda functions and list comprehensions
Generators, yield, and closures
Decorators
Object-Oriented Programming (classes, inheritance, polymorphism, encapsulation)
File handling and exception handling
Mini projects integrating multiple concepts

3. Data Analysis Using Python (NumPy and Pandas)
This course introduces essential tools for data manipulation and analysis using Python libraries.
Topics include:
Working with NumPy arrays
Using Pandas DataFrames and Series
Data cleaning, filtering, and transformation
Handling missing values and duplicates
Grouping, aggregation, and pivot tables
Exporting data to CSV and Excel
Real-world exercises with sample datasets

Wissem

4.88

(84)

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

Ahmed

4.88

(84)

Hello, My name is Ahmed & I'm working as a TA in Ain Shams University.
I am available for assignments, Homeworks, exams, quizzes, projects, and labs.

Expert Programming & Web Development Tutor | Python, Java, C#, C++, Frontend, Backend, Databases, AI & Data Science

💻 Programming Languages:
✔ Programming: C, C++, Java, Python, PHP, JavaScript, HTML
✔ Mathematics: Linear Algebra, Calculus, Discrete Math, Probability, Optimization
✔ Object-Oriented Programming (OOP): Encapsulation, Polymorphism, Inheritance, Abstraction, Design Patterns
✔ Machine Learning: Neural Networks, Regression, Classification, Clustering, Reinforcement Learning
✔ Data Structures & Algorithms (DSA): Trees, Graphs, Linked Lists, Stacks, Queues, Priority Queues, Hash Tables, Tries, Heaps, Disjoint Sets, Sorting Algorithms (Merge Sort, Quick Sort, Heap Sort, etc.), Searching Algorithms (Binary Search, Linear Search), Dynamic Programming, Greedy Algorithms, Divide & Conquer, Backtracking, Topological Sort, Graph Traversals (BFS, DFS), Minimum Spanning Tree (Prim’s, Kruskal’s), Shortest Path Algorithms (Dijkstra’s, Bellman-Ford, Floyd-Warshall), String Algorithms (KMP, Rabin-Karp, Z-Algorithm), and more!
✔ Assignments, Homework, Labs, Projects, Exams, or Quizzes

🌐 Web Development:
Frontend – HTML, CSS, JavaScript, React, Laravel
Backend – .NET, PHP, Flask, Django

🗄️ Databases:
SQL, MongoDB

🧠 AI & Data Science:
Python for Data Science, Machine Learning, Pandas, NumPy, Data Visualization

✅ What You’ll Get:
Personalized one-on-one sessions
Clear explanations with real-world examples
Hands-on coding practice
Help with assignments, projects, and interview prep
A focus on understanding, not memorizing
No matter your level, I make learning tech engaging and effective. Let’s turn your goals into achievements—one line of code at a time!

Mohamed

4.88

(84)

This course is designed for students and professionals who want to learn how to analyze data using the R programming language. You will start with the basics of R, including variables, data types, and simple functions, and then move on to real-world data analysis skills such as data cleaning, visualization, and basic statistics.

By the end of the course, you will be able to work with datasets, create clear and professional graphs, and perform meaningful data analysis for projects, studies, or work.