Trusted teacher

Having a Master 1 level in Computer Science, some personal experience and a professional background in business, I offer the knowledge and skills I have acquired because I have experienced the difficulty of university and self-education, I will be able to adapt to the student as best as possible. I am only available for distance learning. I was fortunate enough to do computer science tutoring at Aix-Marseille University, where I developed my teaching methods. I then continued to teach both within and outside the platform, guiding two motivated students to obtain their Web Developer diploma on OpenClassrooms.

Trusted teacher

This class covers the fundamental principles of digital logic design typically taught in undergraduate computer engineering and computer science programs. Topics include Boolean algebra, logic gates, truth tables, combinational and sequential circuits, minimization techniques, and an introduction to timing and state machines. The class is suitable for undergraduate students at any stage and can be adapted to match specific course syllabi, assignments, or exam preparation needs. Students may request special topics or focus areas depending on their goals.

Trusted teacher

Most kids think computer science is just boring math. I want to change that. In my class, we don’t just write lines of code; we create. I teach logic and programming (Python/Scratch) by building actual games and stories. I’m very patient with beginners. I want your child to realize that the computer isn't just a toy , it’s a superpower they can control.

Trusted teacher

Hi! I’m Wahagn, a qualified international school teacher with 4+ years of teaching Computer Science and Computing to 8-18 year old students. I hold a BSc and MSc in Computer Science from Leiden University and have worked in international schools across Europe. I teach fun, engaging programming classes for absolute beginners and give school support. Students learn logical thinking, problem solving, and creativity.

Trusted teacher

Passionate about teaching and science, I patiently and pedagogically use my mathematical knowledge to help my students. Holding a doctorate and an experienced teacher, I am committed to helping each student progress at their own pace. My supportive and structured approach allows students to regain confidence, acquire effective methods, and overcome obstacles. My goal is to make mathematics accessible, clear, and even enjoyable, while guiding each student toward academic and personal success.

Trusted teacher

As a full-stack software and web developer, and alumnus of 42 Paris, I offer introductory and/or refresher courses in development. Depending on your current level, we will cover the basics and details of C/C++, good development and algorithmic practices, as well as other necessary related skills such as the use of Git and Docker. Drawing on my experience at 42, I offer an ultra-practical teaching method designed to (re)build a solid foundation. Courses also available remotely!

Trusted teacher

I’m Ayan, a Python tutor who specializes in beginner-friendly teaching, data engineering, AI/ML basics, and real-world Python problem-solving. My classes are designed for students, working professionals, and anyone who wants to build strong Python foundations without feeling overwhelmed. 🔥 What You Will Learn Python basics explained in the simplest way Writing clean and logical code Working confidently with Pandas, NumPy, Matplotlib Building problem-solving and analytical thinking Intro to Machine Learning, data handling, and automation concepts Real-world examples that help you understand why things work 🎯My Teaching Style Extremely beginner-friendly and patient Step-by-step explanations Visual diagrams for clarity Practice-oriented lessons Adjusted to your pace — slow or fast, I match your comfort level Friendly, supportive, and encouraging learning environment Why Learn With Me? Because I make Python easy to understand, practical to apply, and fun to learn. By the end of our lessons, you’ll not only understand Python — you’ll feel confident using it.

Trusted teacher

Unlock the world of technology with clear, project-based lessons in computer science and programming. I offer one-on-one tutoring for all ages and groups—from beginners and school students to career-changers and professionals seeking to upskill. My teaching is grounded in real-world industry practice. I focus on demystifying complex concepts by connecting them to practical applications, ensuring you not only understand the "how" but also the "why." I can help you with: Foundational Concepts: Computer science theory, algorithms, and data structures. Programming Languages: Python, Java, JavaScript, SQL, and more. Practical Projects: Web development, automation scripts, and cloud computing basics. School & University Support: GCSE/A-Level Computer Science, IB, and university assignments. My Credentials: Former Cloud Engineer & Business Analyst with experience in the tech industry, plus formal training as a Trainee Teacher (Level 2 & 3, UK system).

Trusted teacher

Simple but most powerful principle of my lessons: "Learn by Doing" Instead of just watching lectures, you'll write code from day one. We work together in real-time via screen share. What I Teach: - Python Programming (Basics to Advanced) - Core Java Fundamentals (Basics to Advanced) - University and High School Computer Science Courses - Data Structures & Algorithms (Fundamentals) - Interview Preparation (discussed individually) My lessons are tailored to each student, with a strong focus on truly understanding the concepts instead of just memorizing them. Who This Is For: - High school students new to programming - University students taking CS courses - Non-tech professionals switching to tech roles - Anyone motivated to learn through hands-on practice - Anyone who needs Assignment or Career guidance - Kids who want to start their coding journey

Trusted teacher

I offer math tutoring tailored to students from middle school through high school graduation, covering both fundamental and advanced concepts to ensure a solid understanding and academic success. Currently a third-year engineering student (3IIR track), I hold a scientific baccalaureate with a physics specialization, obtained in 2023, which allows me to provide a clear, methodical, and practical approach. My goal is to help students develop their mathematical skills, strengthen their logical reasoning, and effectively prepare for their exams.

Trusted teacher

⚙️ Step 1: Understand What AI Actually Is AI isn’t magic — it’s just pattern recognition on steroids. It learns from data, spots trends faster than humans, and automates decisions. There are three main flavors you’ll be dealing with: Machine Learning (ML) – Think “training” an AI to make predictions. (Used in trading bots, recommendations, etc.) Generative AI – Like ChatGPT or Midjourney; it creates text, code, or images. Automation AI – Uses rules + ML to perform actions automatically (Zapier, n8n, AutoGPT, etc.). 💸 Step 2: Using AI in Trading AI trading isn’t new — hedge funds have been doing it for decades. But now you can do it too. Here’s the stack you’d look at: Data Source – Pull data from APIs (like Binance, Alpha Vantage, or Polygon.io). Model – Use AI to find signals. Common tools: Python + TensorFlow/PyTorch → train models that predict price movement. GPTs → analyze news sentiment. Execution – Automate trades using APIs (like Binance or Alpaca). Testing – Backtest with historical data before going live. If you want plug-and-play options, try: Koyfin, TrendSpider, or Trade-Ideas for AI-driven analysis. Composer or Stoic.ai if you want “autopilot” portfolios. (Pro tip: the real edge isn’t in fancy models — it’s in feeding your AI clean, unique data.) 📱 Step 3: Using AI to Build Apps This is where things get fun. You don’t even need to code hardcore anymore. No-code builders: Glide, Bubble, or Adalo → use AI APIs like OpenAI, HuggingFace, or Replicate to add brains. AI dev tools: Replit Ghostwriter, GitHub Copilot, or ChatGPT’s code interpreter to write real code fast. Frameworks (if coding): Python/Flask or FastAPI for backend. React or Next.js for frontend. Firebase or Supabase for hosting & data. Hook it all together with AI APIs (like OpenAI, Anthropic, or Stability AI). 🚀 Step 4: Learn by Doing (Don’t Just Watch YouTube) The fastest way to master AI is to build real stuff: Create a sentiment analyzer that trades crypto based on tweets. Build an AI app that generates marketing copy for clients. Automate your own work — make an AI that handles your emails or schedules. 📚 Step 5: Resources That’ll Level You Up Learn ML basics: fast.ai or Google’s ML Crash Course. Build AI apps: freeCodeCamp or YouTube’s “Code with Tomi” / “Nicholas Renotte.” Trading AI: Check out “Algorithmic Trading with Python” by QuantInsti. No-code AI apps: Buildspace or FlowiseAI.