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As an EPFL robotics engineer and computer science teacher at the Gymnasium level, I support beginners, professionals retraining for a new career, and curious adults in mastering generative AI tools for coding, automation, and creation. No prior technical knowledge is required. • Understanding the AI ecosystem: ChatGPT, Claude AI, Gemini, Mistral. Which tool for which use? • Mastering prompt engineering: structuring requests, obtaining reliable results • Coding with AI (vibe coding): Claude Code, Codex, Cursor, Copilot to create applications and automations without being a developer • Python fundamentals: just what you need to communicate effectively with AI and understand the generated code • Concrete use cases: automating Excel, processing documents, creating a chatbot, connecting APIs My goal: to take you from a simple ChatGPT user to a true creator of intelligent solutions.

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This fun and interactive course introduces kids and teens to the fundamentals of coding using Scratch, a visual programming language developed by MIT. Students will learn to create games, animations, and interactive stories while developing problem-solving, logical thinking, and creativity skills—all in a playful, drag-and-drop environment! Who Should Join? ✔ Kids & teens curious about coding and game design ✔ Young learners who enjoy storytelling, art, or technology ✔ Future coders looking for a fun introduction to programming

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Courses per qualified teacher with extensive experience in adult education. This course can be given for all versions of the software and it will be adapted to the learners' needs. Contact me to determine the exact content and terms.

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Hey, This is Hammad, I'm a Python Developer and I am working on Python for almost 2 years😇. I will teach you a Full Beginner's Computer Science: Python Course covering from the basics to advanced level programming. My bachelor's in Computer Science is in progress and use python on a regular basis in Data Science, Deep Learning Programming. Teaching Methodology I also give online tuition, my teaching methodology mainly involves explaining concepts with examples by using Jupyter Notebooks. Then I practice one or two questions with the student. Then I give questions to students through sharing Notebooks on screen and ask them to solve on their own. I help them out if they are stuck and then we discuss the answers. This helps in having an interactive class and you will surely not be bored with me and will start liking Python even more😊. General Course Outline: //Python 1 // Print Variables. Logical Operators. Comparison Operators. Comparison Operators If/Else Statements Comments. User Input. List and List’s Functions. List Slicing. Tuples. //Python 2 // For Loops. Nested For Loop. Break, Continue, Pass. Type Casting. Sets. Dictionary. //Python 3// Functions While Loops. Exceptions. File I/O. CSV file. JSON File. Learning Python has never been so easy, enjoyable, and affordable! Don’t lose one more second when you can start learning Python right now! More and More people are doing it. Are you ready to embrace this wonderful experience? Get Access Now! Best Regards, Hammad

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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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ICT/Computer Science is a powerful subject for Cambridge IGCSE/Edexcel students. As a student of Computer Science/ICT, you will learn both the theory and practical aspects. You’ll learn how to use a broad range of ICT skills and gain an understanding of the development of ICT systems, networks and their safe use. Secondly, this class provides you with the ability to understand the rapid change of ICT in a technology-based world and the impact ICT has on the world. Besides that, you will learn how to gather, process and manipulate data. As a student, you’ll gain confidence in computational thinking and programming, an appreciation of automated and emerging technologies, and the benefits of their use. You will develop an understanding of the main principles of problem-solving by creating computer-based solutions using algorithms and a high-level programming language. You shall also develop a range of technical skills including the ability to test effectively and to evaluate solutions.

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This course is designed for students who want to gain a solid understanding of basic computer science concepts. It covers the logic behind computer systems, starting with the inner workings of a computer and progressing to topics such as networking, operating systems, and basic programming. Whether you're considering a career in technology or simply want to better understand the digital world around us, this course will give you the tools you need to navigate the information age.

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I will help you master all the features of Microsoft Access software. objectives: --------------- Acquire the essential bases of Microsoft Access software. Structure a relational database. Define queries. Build forms and reports. Create simple macros. Acquire a methodology to design and manage a database. Whatever your basic level, I will adapt to it in order to help you progress. Program ------------------- Module 1: Presentation of Access software Familiarize yourself with Access Find your way around the screen: toolbar, status bar, menus, ruler Methodology for building a database Creation of a database and DBMS Importing data from Excel into Access *** Module 2: Design and organize your database Organize and distribute your data between different tables Create tables, define fields Identify the index primary key Define relationships, ensure referential integrity Import, export and link data. *** Module 3: Relationships Link tables The different types of relationships (one to one, one to many) Referential integrity Join types Create a drop-down list Complex relational schemas: relay tables, star schemas, etc. *** Module 4: Query your database with queries Selection queries: choice of fields, sort order, definition of selection criteria Extract data by setting criteria Grouping on a field, on an expression Multitable and cross-analysis queries Action requests: update, add, delete, create a table. *** Module 5: Calculated queries Column calculations Online calculations: formula syntax, use the expression generator Some calculation functions: (True false, Extraction of strings, Upper case, Lower case) *** Module 6: Creating Forms and Entering Data Create an instant form Create an instant table form Manage data: add, delete, modify, search, filter records Modify the form Subforms: creation, integration into a form Editable drop-down lists. *** Module 7: Creating Reports Create a label report Create a report using the wizard Change state Creation of column or tabular reports Sorting and grouping Direct mail report. Printing a report. *** Module 8: Creating Complex Forms Hierarchical organization of forms Create a form and a subform Insert action buttons: search list, command buttons Insert calculations

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Need to strengthen your IT skills? Whether you are in a Bachelor's degree, a Master's degree, or a student at an engineering school, take advantage of the expertise of a doctor in IT for tailor-made training. Adapted to your level and your objectives: Whether you are discovering a subject or aiming for excellence, my courses adjust to your needs. Interactive and practical lessons: Practice directly with relevant exercises and projects. Deep Learning: From advanced algorithms to system architecture and organization concepts, master the essential basics and go beyond. With me you will not only learn computer science – you will understand it and apply it successfully.

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Want to make a career in coding or stuck with your school/college syllabus. Here is the solution. I am an expert with the practical work experience. I'll be starting from scratch and strengthen your concepts so that you can easily master over this language. I am providing you a brief summary of our course which we generally follow but that doesn't mean that I am bound to just this much content. In case you have any doubt for any other specific topic related to the subject, you could always come up to me or you need any help in your assignments or projects, you are always welcome. Here is a brief summary of our syllabus content which we'll be covering Introduction to Java programming • The Java Virtual Machine • Variables and data types • Conditional and looping constructs • Arrays Object-oriented programming with Java Classes and Objects • Fields and Methods • Constructors • Overloading methods • Garbage collection • Nested classes Inheritance • Overriding methods • Polymorphism • Making methods and classes final • Abstract classes and methods • Interfaces Exception handling with try-throw-catch-finally constructs • The Exception class The Object class • Cloning objects • The JDK LinkedList class • Strings • String conversions Working with types: Wrapper classes • Enumeration interface Packages • Package access • Documentation comments Applets • Configuring applets • Applet capabilities and restrictions Basics of AWT and Swing • Layout Managers • Event Handling • The Action Listener interface • Panels • Classes for various controls, such as label, choice, list, • Checkbox, etc. • Dialogs and frames • Using menus • Using the adapter classes • Graphics Threads • Synchronization The I/O Package • InputStream and OutputStream classes • Reader and Writer classes Basic concepts of networking • Working with URLs • Concepts of URLs • Sockets Database connectivity with JDBC • Java security In case you have any query, feel free to contact me. Give yourself a chance for a better future All the best

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Whether you're preparing for IB, IGCSE, GCSE, or simply want to build confidence in Mathematics, I'm here to help. I have over 3 years of teaching experience and 7 years of professional software engineering experience, allowing me to explain mathematical concepts in a clear, logical, and practical way. My lessons are tailored to each student's needs and learning pace. I believe understanding the "why" behind a concept is far more valuable than memorising formulas. During lessons, I use carefully prepared practice questions and exam-style exercises, many of which I create myself using professional typesetting tools like LaTeX that is used by IB and Cambridge directly. I encourage students to ask questions freely and develop strong problem-solving skills. Whether you're aiming to improve your grades, prepare for school exams, or study for international curricula such as IB, IGCSE, or GCSE, I'll help you build confidence step by step in a supportive learning environment. Lessons are available online or in-person (within 5-15 mins train travel from Shinjuku, Tokyo), and are conducted in English.

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Are you looking to learn programming, strengthen your computer science concepts, or explore Artificial Intelligence and Machine Learning? I offer personalized lessons designed for school students, university students, and professionals who want to build practical skills and real-world understanding. As an MSc Artificial Intelligence student and AI/ML Engineer, I have experience working on real AI systems involving Machine Learning, Large Language Models (LLMs), Knowledge Graphs, OCR systems, backend development, and full-stack applications. I am also an experienced tutor who has been teaching students since 2022 through both online and in-person learning environments. I have taught students on platforms online tutoring platforms, where I have helped learners across different subjects including programming, English, and Urdu while maintaining strong student feedback and ratings. Additionally, I currently support students at Ohm Gymnasium Erlangen, where I assist students with mathematics, programming, and English learning activities. Subjects I can teach include: • Programming: Python, Java, C/C++, JavaScript • Computer Science fundamentals • Data Structures & Algorithms • Object-Oriented Programming (OOP) • Databases and SQL • Web Development (Django, Flask, React, MERN) • Artificial Intelligence & Machine Learning • Deep Learning and Generative AI • English language support (IELTS qualified, C1 level) • Mathematics support • Microsoft Office tools (Word, Excel, PowerPoint) • Academic assignments and project guidance • Interview preparation and coding practice My teaching approach focuses on: ✓ Learning concepts step-by-step ✓ Practical coding exercises and projects ✓ Real-world examples and applications ✓ Interactive problem solving ✓ Personalized guidance based on your level and goals Whether you are starting from scratch or preparing for advanced topics, lessons are tailored to help you build confidence and develop strong technical skills.

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Session 1: Revolutionizing your Scientific Writing with LaTeX & AI Duration: 2 Hours | Level: Beginner | Tools: Overleaf + AI** First Hour: Foundations and Cloud Environment (60 min) 1. Introduction to LaTeX Philosophy (15 min) - The "WYSIWYM" concept:** Explain the difference between Word (*What You See Is What You Get*) and LaTeX (*What You See Is What You Mean*). Why content takes precedence over form. - Key advantages:** Unrivaled typographic quality, automatic reference management, stability on long documents (theses), and free of charge. - The structure of a file:** Distinction between the **preamble** (the brain: settings and packages) and the **body of the document** (the heart: text). 2. Immersion in Overleaf (25 min) - Configuration:** Creation of an account and first project "Blank Project". - Exploring the interface:** The file panel (left), the code editor (middle) and the PDF preview (right). - Real-time collaboration:** How to share a project and leave comments (like on Google Docs). - History and versions:** How to revert to a previous version in case of a compilation error. 3. Practical Workshop: My First Document (20 min) * Writing basic commands: `\documentclass`, `\usepackage[french]{babel}`, `\title`, `\author`. * Compilation of the document and observation of the result. * Structuring: Use of `\section` and `\subsection`. Second Hour: Mathematics and the Magic of AI (60 min) 4. The Power of Mathematics (20 min) - Mathematical modes:** Difference between the text (`$...$`) and the centered block (`\[...\]`). - Essential syntax:** Fractions `\frac{}{}`, exponents `^`, indices `_`, and roots `\sqrt{}`. - Introduction to AMS packages: Why amsmath and amssymb are essential for professional rendering. 5. From hand to screen: AI at the service of LaTeX (30 min) - Presentation of OCR tools:** Use of **Mathpix Snip** (the leader) or models like Gemini/ChatGPT to transform a photo into code. - Concrete demonstration: 1. Take a picture of a complex handwritten formula (e.g., an integral with matrices). 2. Use AI to generate the corresponding LaTeX code. 3. Correction and insertion: Learn to check the AI-generated code before copying and pasting it into Overleaf. 6. Conclusion and Q&A (10 min) * Summary of achievements. * Resources for further exploration * Definition of the exercise for the next session.

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Have you just bought a new computer or do you finally want to feel comfortable with the one you have? This course is for you! Designed specifically for beginners and seniors, this course guides you step by step in discovering your Mac or PC. No technical jargon, no judgment – just clear explanations and plenty of patience. In the program : Navigate your computer with confidence (desktop, files, folders) Using the Internet and emails safely Manage your photos and documents Discover office tools (Pages/Numbers or Word/Excel) Communicate with your loved ones via FaceTime or WhatsApp Back up your data so you don't lose anything Introduction to AI Assistants: Artificial intelligence (ChatGPT, etc.) to simplify your life My approach: I adapt to your pace and needs. Every question is welcome, and we progress together until you feel independent. See you soon, Chris

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GPT Chat, MidJourney, trendy applications that shape many things in our modern world. Some say ChatGPT is a replacement for Google, and maybe. But who really knows what can be done with it? Simple search or virtual assistant? In the courses I offer we will explore the mysteries of this revolutionary AI, and this is just the beginning... MidJourney, on the other hand, is an AI (artificial intelligence) that is surprising in its realism on many levels. Some see it as the end of artists, others see it as a new essential tool, something that solicits our interest no matter what. So use it, yes, but for what purpose? In our courses here, we will see how to use this AI, how to improve your daily life, or even stand out from others by bringing a personal touch to creations which, between virtual or real, only our feeling of liking it or not, will make us accept it or not! And then if other AI interests you, find out more, at SGI our courses evolve over time and with technological advances! ^__^

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Discrete mathematical structures It is one of the courses for the first year of the faculties of computer science, artificial intelligence and faculties of engineering. The explanation includes the lessons Logic statements-truth tables-gates-dets-op- logical circuits-reducing circuit-logical gates-relations-functions

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Python is today one of the most widely used programming languages in the world, both in Data Science, Artificial Intelligence, Web Development and for task automation. In this course, I will guide you step by step according to your level: Beginner: basics of the language (variables, loops, conditions, functions). Intermediate: data manipulation (Pandas, NumPy), file management, object-oriented programming. Advanced: practical projects (data analysis, machine learning, automation, API, web scraping). My goal is to make learning clear, practical, and motivating. You'll not only learn how to code in Python, but also how to structure your projects and apply your knowledge to real-life scenarios.

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I have known and used the Mac since 1989 and since 2014 it has become my main activity and I have more than 1600 customers in Switzerland and neighboring France. I give at-home lessons if necessary and online lessons and troubleshooting with the Messages app on your Mac, from Apple ID to Apple ID, in complete security. If you have problems with your Mac, updates to make or training needs on Mac OS or apps like Contacts, Safari, Mail, system settings and optimizations and security (malware), iCloud, Photos, printers and passwords, etc... do not hesitate to call me. I have been registered with the Geneva commercial register and with the French-speaking business federation since 2015.

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Hello, I am an electrical and electronic engineer with extensive experience as a professor in higher education in engineering sciences and electrical engineering, as well as a rich experience as an embedded systems engineer, in EE architecture, ADAS, Testing and validation in the automotive sector. I offer support courses and training in engineering science subjects for graduate students, particularly in Matlab Simulink programming. My methodology is based on the acquisition of knowledge and course concepts in a very simple way and also on practice using the most widely used software on the market. Matlab is both software and a scientific programming language developed by the American company MathWorks which allows various numerical calculation operations to be carried out. For example, manipulating algorithms, displaying data curves or even generating matrices. It is used in everything that is programming, signals and systems, signal processing... It contains another part of graphical programming called Simulink, dedicated to the programming and modeling of dynamic systems (Widely used in the discipline of automatic and industrial regulation). I also give courses and training in: Embedded systems, ADAS systems and automotive engineering Electrical and electronic circuits Automatic Industrial regulation Signal processing C Programming, Assembler, PIC, Arduino LabVIEW PIC microcontroller Microprocessor

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Improve your office skills and become an expert in office tools. Join my office course on Apprentus and learn how to effectively use the most popular office software, such as Microsoft Office (Word, Excel, PowerPoint) and Google Workspace. What you will learn: - Microsoft Word: Creation and formatting of professional documents, use of styles and themes, management of tables of contents and references. - Microsoft Excel: Manipulating data, using formulas and functions, creating graphs and pivot tables to analyze your data. - Microsoft PowerPoint: Designing impactful presentations, using animations and transitions, tips to captivate your audience. - Google Workspace: Real-time collaboration with Google Docs, Sheets and Slides, use of sharing and commenting features, integration with other Google tools. Why choose our course? - Suitable for all levels: Whether you are a beginner or looking to perfect your skills, our course is designed to adapt to your needs. - Practical learning: Each lesson is accompanied by practical exercises to reinforce your knowledge and allow you to master the concepts taught. - Flexibility: Learn at your own pace, with online sessions accessible anytime, anywhere. - Personalized support: Benefit from the assistance of an experienced trainer to answer your questions and guide you throughout your learning. Register now and give your career a boost.

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This course introduces students to the fundamentals of Information and Communication Technology (ICT) and its role in modern society. Topics include computer hardware and software, digital communication tools, internet technologies, data management, cybersecurity, and emerging trends. Students will gain practical skills in using productivity software, conducting online research, and understanding the ethical and responsible use of digital resources. The course emphasizes both technical proficiency and digital literacy, preparing learners to confidently navigate and contribute to a technology-driven world.

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In coding class, We will learn about the coding from the basics, starting from the html and going forward to the Javascript and Python. Moving forward we will learn about backend in python like Django and Flask. Kids enjoy a lot in class because of the fun projects we make like netflix, amazon etc.

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Hello, I am Sindhu. I am a mathematics enthusiast and have completed my bachelor's and master's degrees in Mathematics with a Minor in Computer Science. Currently, I am pursuing my doctorate here. I have a passion for teaching and I want to help others understand and appreciate this subject. I am excited about the opportunity to teach you!

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Sometimes studying can be tough, I can help you improve your grades and enjoy your learning. As an advanced teaching practitioner I have substantial knowledge and expertise in helping students enjoy and achieve in their learning since my lessons are based around the individual needs of the student. I’ve taught in Colleges, Secondary Schools, Universities, I’ve been head of computer science and head of higher education in a number of educational establishments. I really enjoy teaching and helping students to realise their potential. I’m a grade 1 Outstanding teacher, and an advanced teaching practitioner. I've taught Computing/IT & Computer Science for over 25 years. I teach GCSE, A level and Degree courses in ICT and Computer Science. My specialist subjects cover the whole curriculum subject areas for Degree, A level and GCSE. I have experience of mentoring and coaching students from various backgrounds and nationalities. If you need help to get those grades in your GCSE or A level exams, book a lesson with me and I'll get you up to speed in the area you need help in.