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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.

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About the course My approach as a private tutor is based on interactivity and practice. I firmly believe that learning to program isn't just about reading theory: you have to experiment, test, make mistakes, and understand why. That's why I favor interactive notebooks, combining clear explanations, concrete examples, and practical exercises. Each concept is immediately put into practice, making learning concrete and memorable. My teaching techniques and methods: Progressive examples: we start with small concepts and then gradually make them more complex. Guided exercises: I offer exercises with clues or steps to get the student thinking before coding. Immediate feedback: every mistake is a learning opportunity; we analyze bugs and misunderstandings together. Personalized support: I adapt my explanations to the pace and needs of the student, with illustrations or concrete analogies if necessary. I offer a 2-hour course that covers all the basics of Python so that the student in question can begin their studies with a very good foundation, but I also provide support by covering a little bit of everything in Python.

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23Students

I'm a working MEP engineer, currently building Python automation for Revit workflows daily - plan checks, model coordination, and repetitive drafting tasks. I teach other engineers, architects, and BIM professionals how to do the same, using pyRevit and real project workflows, not toy examples. Topics include: pyRevit fundamentals and setup Automating repetitive Revit tasks (model checks, plan generation, data extraction) Writing custom scripts for your firm's specific workflows Applying Python automation to real MEP/BIM projects

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15Students

Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it? This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio). What we cover, adapted to your level and goals: - Descriptive and inferential statistics (the ones that actually matter) - Data cleaning, exploration, and visualization - Regression, classification, and intro to machine learning - Time series and forecasting basics - R for statistical analysis and academic research Who this is for: - University students in statistics, economics, engineering, or biology - Professionals wanting to move into data analysis or data science - Researchers who need to process and present data properly I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.

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5Students

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.

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2Students

Learn to code with method and logic Whether it's to succeed in the NSI (Digital Sciences and Technology) specialization in high school, design personal projects, or prepare for higher scientific studies, mastering code relies on solid algorithmic thinking. I help students understand the structure of programming languages and the logic of data. Subject areas and languages taught: Algorithms & Logic: Designing data structures and solving problems. Programming Languages: Python, C/C++, C# and Java. Data Management: Analysis and SQL queries / databases. Basic Web Development: HTML & CSS for creating structured pages. The goal is to take the student from simply writing code to true autonomy in development.

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4Students

Are you looking to deepen your knowledge of physics or master advanced techniques in Python programming? This course is designed to help you achieve a level of academic and technical excellence, whether you are a high school student, university student or professional looking to develop your skills. With an interactive and effective teaching approach, you will benefit from personalized support to overcome obstacles, grasp complex concepts and improve your performance. Whether it is to succeed in difficult exams, high-level competitions or to create powerful applications in Python, this course will provide you with all the tools necessary to achieve your goals. 🎯 Why Choose This Course? Advanced and Expertise Level: In-depth content and effective methodology to master complex topics in physics and programming. Personalized Courses: Sessions adapted to your needs, your pace and your level. Interactive Online Learning: Dynamic online courses with screen sharing and audio interaction for enjoyable and engaging learning. Concrete Projects and Practical Applications: Development of practical projects to implement theoretical concepts. Intensive Preparation for Exams and Competitions: Rigorous training with complex exercises and exam simulations to guarantee your success. Flexibility and Comfort: Learn from home, according to your schedule, without having to travel. 🔬 Advanced Physics – From High School to University This module offers a complete and in-depth program to prepare you for demanding secondary school exams, preparatory classes and scientific university courses: 1. Secondary Physics (High School and Preparatory Classes) ⚙️ Classical Mechanics: Kinematics, dynamics, Newton's laws, energy and work, oscillations. 🌊 Waves and Vibrations: Wave propagation, interference, diffraction, acoustics. ⚡ Electricity and Magnetism: Electric circuits, electrostatics, magnetostatics, electromagnetic induction. 🔦 Optics: Geometric optics (lenses, mirrors), wave optics (interference, diffraction). 🌡️ Thermodynamics: Laws of thermodynamics, thermodynamic cycles, entropy, changes of state. 2. University and Advanced Physics 🔄 Analytical Mechanics: Lagrangian, Hamiltonian, and generalized coordinates. 🌐 Advanced Electromagnetism: Maxwell's equations and the propagation of electromagnetic waves. 🧪 Quantum Physics: The postulates of quantum mechanics, the wave function, and the Schrödinger equation. ☢️ Nuclear and Particle Physics: The structure of the nucleus, radioactivity, and fundamental interactions. 🌌 Special Relativity: Lorentz transformations, time dilation, and length contraction. 3. Intensive Preparation for Exams and Competitions 📘 Scientific methodology: Learn to analyze statements, structure responses and write clearly and precisely. 📝 Application exercises and past papers: Intensive training to master the concepts and pass your exams. 🔎 Solve complex problems with detailed explanations and effective strategies. ⏰ Time management: Practical tips to improve your time management during exams. 🐍 Advanced Python Programming – Focused on Efficiency This module will teach you how to program efficiently and effectively in Python, with an emphasis on best practices and advanced techniques: 1. Mastering Advanced Concepts in Python 🔠 Advanced Syntax and Best Practices: Deepening of Python concepts. 📦 Object-Oriented Programming (OOP): Abstract classes, interfaces, and design patterns in Python. 🔄 Functional Programming: Using lambda, map, filter, reduce, generators and iterators. ⚡ Asynchronous Programming: Implementing asyncio for fast and responsive applications. 🧪 Unit Testing and Code Quality: Use of pytest, code coverage, and CI/CD. 2. Performance Optimization 🚀 Algorithm Optimization: Analysis of algorithmic complexity and use of efficient data structures. ⚙️ Profiling and Debugging: Performance evaluation with cProfile and code improvement. 🔒 Security and Robustness: Writing secure code and handling exceptions appropriately. 3. Practical Projects and Advanced Applications 🌐 Web Applications: Building high-performance web applications using Flask and FastAPI. 📊 Data Science and Machine Learning: Exploitation of Pandas, NumPy, Scikit-learn and TensorFlow. 🕸️ Advanced Web Scraping: Complex data extraction using BeautifulSoup and Selenium. 🤖 Automation and Efficient Scripts: Automation of tasks and development of efficient scripts. 🧑‍🏫 Methodology and Pedagogical Approach: Learning by doing: Each theoretical concept is directly implemented through practical exercises. Interactive Online Teaching: Using audio and screen sharing for seamless communication and dynamic learning. Personalized monitoring: Regular support to assess your progress and answer all your questions. Concrete projects: Development of complete projects to apply your programming skills. Motivation and Confidence: A positive and encouraging approach to build your confidence in your abilities. 🎓 For whom? This course is intended for: - High school and preparatory class students who aspire to academic excellence. - University students in science and computer science wishing to deepen their knowledge. - Candidates for scientific competitions who are preparing for physics and programming tests. - Developers looking to improve their advanced Python skills. - Researchers and engineers who use Python for complex scientific applications. 🔔 Register now! Don't miss the opportunity to master advanced physics while developing skills in optimized and efficient Python. Join our program "🚀 Advanced Courses - 🔬 Physics from High School to University & 🐍 Advanced Python Programming Focused on Efficiency!" and progress at your own pace with confidence and motivation!