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In this course you will be offered to learn step by step all the stages of the creation of a comic strip: layout, choice of boxes, cutting, storyboard, image composition, perspective, sketching, inking, color . Possibility of working digitally.

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Multi-technical drawing lessons, such as e.g. wash, frottage, engraving, monotype, transfer etc. Making Cards, Pop Up Cards, Boxes, Masks etc. Entertainment for parties, birthdays etc. all ages. Package price for a group.

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These courses are part of a practical and accessible introductory training course in web development 🌐💻, designed for those who want to learn how to create a website from A to Z. Using fundamental web technologies—HTML 🧱, CSS 🎨, and JavaScript ⚙️—you'll learn how to structure pages, style them, and make them interactive. My teaching approach is hands-on: each concept is accompanied by concrete examples and progressive exercises to consolidate your knowledge. You'll discover how to build a responsive interface 📱💡, manage user events 🖱️, and apply simple animations ✨ to improve the user experience. Whether you are a beginner or looking to consolidate your foundations, this training will guide you step by step towards autonomy in creating your own web projects 🚀 Training plan in 10 modules: 1. Introduction to programming 🧠💡 Understand the basics: logic, Linux commands, simple instructions and algorithms. 2. Introduction to HTML 🧱📄 Structure of a web page, main tags, links, images, tables, forms. 3. Accessibility and SEO ♿🔍 Create inclusive and well-referenced sites: semantic tags, ARIA attributes, good SEO practices. 4. Introduction to CSS 🎨🖌️ Formatting, colors, typography, boxes, flexbox and responsive layout. 5. Git & GitHub 🗂️⚙️ Version your code and collaborate effectively: Git commands, creating repositories, push/pull, pull requests. 6. JavaScript - Data Types 🔢📝 Numbers, strings, booleans, objects, arrays... Learn to manipulate data. 7. JavaScript - Functions and Methods ⚙️🧩 Define and call functions, understand scope, use native methods. 8. JavaScript - Terms ❓🔁 Master the if, else, switch statements to handle specific cases. 9. JavaScript - Arrays and Loops 🔄📊 Iterate efficiently with for, while, forEach, manipulate arrays like a pro. 10. DOM Manipulation & Closures 🌐✨ Edit HTML/CSS from JS, add events, understand closures for advanced interactions.

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A- TOPICS YOU CAN EXPLORE AND MASTER: 1- PYTHON FOUNDATIONS • Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming • Lists, tuples, dictionaries, sets, comprehensions, debugging, and writing clear, reusable, well-structured code • Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management 2 — PROGRAMMING, ALGORITHMS, AND COMPUTER SCIENCE FOUNDATIONS • Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design • Fundamental data structures including arrays, lists, stacks, queues, dictionaries/hash tables, sets, trees, graphs, and their appropriate use • Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies • Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges 3- DATA PREPARATION AND EXPLORATION • NumPy and pandas for importing, cleaning, transforming, filtering, grouping, reshaping, and merging data • Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation • Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation 4- MATHEMATICAL FOUNDATIONS • Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics • Loss functions, gradients, distance measures, regularization, likelihood, and model complexity • Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms 5- SUPERVISED MACHINE LEARNING • Linear and polynomial regression, logistic regression, and regularized models • k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers • Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results 6- UNSUPERVISED LEARNING • Clustering using k-means, hierarchical clustering, and density-based methods • Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery • Method selection, evaluation of data structure, and interpretation of results without predefined labels 7- MODEL EVALUATION AND IMPROVEMENT • Training, validation, and test sets; cross-validation; hyperparameter optimization • Accuracy, precision, recall, specificity, F1 score, ROC–AUC, confusion matrices, MAE, MSE, RMSE, and R2 • Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization 8- DEEP LEARNING • Neural-network foundations, activation functions, forward propagation, backpropagation, and gradient descent • Multilayer perceptrons, convolutional neural networks, recurrent neural networks, and Transformer foundations • TensorFlow, Keras, or PyTorch depending on the learner’s project and working environment 9- ARTIFICIAL INTELLIGENCE APPLICATIONS • Natural language processing, text classification, embeddings, sentiment analysis, and foundations of language models • Computer vision, image classification, fundamental principles of object detection, and image preprocessing • Recommendation systems, forecasting, anomaly detection, intelligent automation, and decision-support applications 10- GENERATIVE AI AND LARGE LANGUAGE MODELS • Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation • Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant • Reliability, hallucinations, bias, privacy, responsible use, and appropriate human validation 11- TOOLS AND LIBRARIES • Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras, and PyTorch • Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel, and Power BI when useful to the project • Additional libraries may be introduced depending on the selected specialization and dataset 12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION • Complete projects covering data preparation, model development, evaluation, interpretation, and presentation of results • University assignments, dissertations, theses, research projects, portfolio projects, technical interviews, and professional applications • Code review, debugging, documentation, reproducibility, model comparison, and communication of results ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- B- PERSONALIZED TUTORING: LEARNING HOW TO REASON Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected. My lessons help you move beyond simply copying code or using models as “black boxes.” You will learn how to define the problem correctly, prepare the data, select an appropriate algorithm, understand how it works, train and evaluate the model, diagnose errors, improve performance, and interpret results rigorously and responsibly. Each lesson is personalized according to your current level, mathematical background, programming experience, dataset, university work, research project, interview preparation, or professional objective. We begin by identifying your existing knowledge, software environment, expected outcomes, and main conceptual or technical difficulties. We then establish a structured learning plan. The first lesson combines a discussion of your background, objectives, and tutoring needs; an initial assessment of your current knowledge; personalized planning and organization of future sessions; and a short trial lesson to determine the most effective learning approach. A typical session may include conceptual explanation, development of mathematical intuition, live coding, guided implementation, model evaluation, technical problem solving, and a concise summary of the next steps. You may work with your own dataset, university assignment, research project, or professional problem, provided that confidential information is handled appropriately. I can also provide structured examples and datasets suited to your level. My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.

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— Methodology — This course is designed for all levels, from beginners wanting to understand their tools to professionals seeking guidance in project development and professionalization. — Learning Philosophy — I believe that learning is a dialogue. My approach is flexible and adapts to your needs: field case studies, participatory guidance during creation, and targeted training on specific aspects. Sessions are scheduled according to your needs and constraints, ideally every two weeks to maintain a good rhythm. — First Meeting — During our first meeting, we will define the framework, method, tools, and objectives of the training together. — Topics Covered — The 6 Pillars of Image Creation • Subject: Choice and importance of the subject • Staging: Composition and arrangement of elements • Lighting: Use and mastery of natural and artificial light • Viewpoint: Angles and perspectives for visual impact • Exposure: Techniques for correct and creative exposure • Aesthetics: Developing a consistent visual style Preparing a Photoshoot • Planning: Logistical and creative preparation • Location Scouting: Choosing and evaluating locations • Equipment: Selection and preparation of necessary gear • Models and Outfits: Coordination with models and wardrobe selection • Storyboard: Creating a visual scenario for the shoot with MidJourney Natural Light • Understanding Natural Light: Characteristics and types of natural light • Golden Hours: Photography during the golden hours • Using Reflectors: Techniques for directing and softening light • Shadow Management: Creating and controlling natural shadows • Outdoor Shooting: Practical tips for outdoor sessions Artificial Lights • Introduction to Artificial Light: Types of light sources • Continuous Light vs. Flash: Advantages and disadvantages • Lighting Techniques: Using softboxes, snoots, and other accessories • Studio Setup: Organizing and installing studio lighting • Creating Light Ambiances: Techniques for different visual effects Fashion Photography • Conceptualizing a Fashion Portrait: Ideas and inspirations • Model Direction: Tips for directing and communicating with models • Outfit Selection: Importance of clothing and accessories • Lighting Usage: Specific techniques for fashion portraits • Post-Processing: Retouching and enhancing fashion portraits Street Photography • Introduction to Street Photography: Concepts and ethics • Interacting with Subjects: Techniques for approaching and photographing people in the street • Using Natural Light: Adapting to outdoor lighting • Dynamic Composition: Creating impactful images in urban settings • Post-Processing: Suitable retouching for street photography Digital Development on Lightroom or Capture One • Introduction to Lightroom: Interface presentation and customization • Image Import: Methods and file organization • Image Development: White balance, exposure, contrast, etc. • Local Adjustments: Using brushes, graduated and radial filters • Exporting: Export settings for different uses Project Development • Project Conception: Ideation and planning • Research and Inspiration: Techniques for finding creative ideas • Production Planning: Managing time and resources • Execution: Practical realization of the project • Evaluation and Adjustment: Analysis and continuous improvement of the project Photobook Editing • Book Design: Structuring and layout • Image Selection: Choosing photos and organizing them • Editing Software: Using tools for creating photo books • Online Printing Services: Comparison and use of available services • File Preparation: Optimization for printing and publishing Professional Equipment • Professional Kit Overview: Description of essential equipment • Cameras: Selection and use of different types of cameras • Lenses: Choosing lenses for various situations • Essential Accessories: Tripods, filters, flashes, etc. • Equipment Maintenance and Management: Techniques for maintaining and protecting gear The Photography Profession: Market Dynamics • Fashion Photography: Understanding the expectations of magazines, modeling agencies, and fashion brands. Techniques for portfolio presentation and collaboration with stylists and makeup artists. • Wedding Photography: Organization and management of events, interaction with clients, and specific marketing strategies. • Product Photography: Collaboration with businesses for product photography aimed at advertising and online sales. Techniques for staging and lighting. • Editorial Photography: Working with magazine and newspaper editors, designing photo reports, and meeting publication deadlines. • Corporate Photography: Creating corporate portraits, covering professional events, and creating visual content for companies. • Art Photography: Exhibiting in galleries, participating in competitions and festivals, and selling photographic art. The Photography Profession: Freelance Dynamics • Portfolio Creation: Selecting and presenting the best works to attract clients and collaborations. • Marketing Strategies: Using social media, creating a professional website, and developing a personal brand. • Professional Networking: Importance of industry relationships, participating in events and online/offline communities. • Client Management: Communication techniques, managing expectations, and maintaining long-term client relationships. • Legal and Financial Aspects: Understanding contracts, copyrights, invoicing, and financial management as a freelance. • Continuous Development: Ongoing training, technological watch, and adaptation to new trends and technologies.

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Are you ready to dive into the exciting world of building modern web applications, even if you've never heard of JSON, HTTP requests, or all that seemingly cryptic terminology? Then you are in the right place! Our course is specially designed for beginners, and you will be guided step by step through the exciting world of web programming. Imagine creating your own web application, whether it's a personal project or a revolutionary idea you want to share with the world. You'll discover the "Frontend", where the visual magic happens, and the "Backend", the brains of the application that ensures everything works as expected. We'll explain databases, those magic boxes that store information, and show you how to make them interact with your application. You will also be introduced to the art of creating a solid infrastructure to host your application on the Internet, allowing users to join it from anywhere, at any time. And don't worry, we'll teach you everything about HTTPS requests, these secure communication channels, and load balancers, which guarantee a smooth user experience. Prepare for an exciting journey into the world of web programming, even starting from scratch. Join us to master the essential skills that will help you bring your ideas to life on the modern web. 💡🌐🚀

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Origami is a beautiful Japanese craft. the word origami means "folding paper" and you will learn all the basuc foldings to create beautiful paper work such as animals, flowers, boxes and more. we only use origami squared paper and scissors and a ruler can be useful but not essential.