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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.

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If you are having difficulty with math or computers, I can probably help you. A doctor of computer science and a former university professor of computer science, I have extensive teaching experience and a strong grasp of the subjects taught. Whether on an ad hoc or regular basis, I propose to first assess the needs, define an action plan, and if we agree, get to work.

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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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🔵 Core principle: The main criterion is to answer your questions in an interactive atmosphere and not to offer you an academic course! I offer you the first session of the course and adapt my formula according to your needs. 🔵 Profile: specialist in Mathematics and Computer Science (Engineer with double competence), experienced Data Scientist (with 4 years of experience), Research Assistant at the University of Luxembourg and future PhD student in Artificial Intelligence at Polytech Mons, I started tutoring, mainly in Mathematics, and a little in Computer Science when I was doing the preparatory classes MPSI-\ MP in 2013. Since then, I have had students of all levels - junior high school, Bachelor, Master - which has allowed me to improve my working method over time. I like the idea of being able to help students in difficulty, and it is a personal satisfaction to see a student's progress because it makes me useful. 🔵 My methodology will be as follows: I will explain abstract concepts (in the first few sessions), give you some suitable exercises, and leave you with exercises to do covering the challenges you encounter which we will solve together in the following sessions. I will also send you teaching material to accelerate your learning (summaries, videos, personal notes, websites, recommendations of relevant free courses, etc.).

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Hello, With an experience of over 15 years in Computer Science, I would like to pass on my knowledge to anyone wishing to learn computer science whatever the reason or project (work ...). My areas of expertise are: system administration (Linux, Unix or Windows), database management (Oracle, MySQL), virtualization, internet, social networks, web development (PHP), shell scripting (ksh, bash, awk) and much more ... Having studied the pedagogy of teaching, my courses are adapted whatever your level (beginner, intermediate or advanced). My areas of expertise are: - Administration and System Management (Unix / Linux / Windows) - Administration and Database Management (Oracle, MySQL (MAriaDB) and Postgrsql) - Shell scripting (KSh, SH, AWK, Bash ...) - Administration and Network Management (iptables, Fw rules ...) - Automation (Kickstart and Ansible) - Data Protection and Backup Tools (Networker, Netbackup, RMAN) - Storage Management (LVM, Netapp ...) - High availability (SunCluster, Veritas, Peacemaker ...) - Virtualization (VMware, Hyper-V, Solaris zone and KVM) - System integration (POC) - Web-oriented development (PHP, HTML5, CSS3) - Coaching So your mouse and make a "click" ;-)

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I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work. Topics include: Python fundamentals through a finance lens (data structures, functions, control flow). Working with financial data and datasets. Performance benchmarking and writing efficient code. Applying concepts from Hilpisch's Python for Finance.

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You will learn Systematic Reasoning & Logical Thinking which is a requirement for entering Computer Science program in many universities. The book “Delftse Foundations of Computation” especially its second chapter will be the main source of our lesson, but other more in-depth books will be also covered if you want to improve even further on logical thinking. The topics in our lesson include: • Propositional Logic: Logical operators; Precedence rules; Logical equivalence; Implications in English; Exclusive or; Universal operators; Classifying propositions • Boolean Algebra: Substitution laws • Logic Circuits: Logic gates; Combining gates to create circuits; From circuits to propositions; Disjunctive Normal Form; Binary addition. • Predicate Logic: Predicates; Quantifiers; Tarski’s world and formal structures; • Deduction: Valid arguments and proofs; Proofs in predicate logic If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)

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I offer one-to-one Machine Learning and AI tuition for university students, postgraduates, working professionals, and serious self-learners. Lessons are available online or in person around Birmingham. What I cover: Python for data science and ML (NumPy, Pandas, Scikit-learn) Deep learning with TensorFlow and Keras Core ML concepts: regression, classification, clustering, neural networks, CNNs Computer vision and image classification (my published research area) University coursework support, dissertation help, project guidance Help with Kaggle competitions and personal portfolio projects How I teach: I focus on understanding, not memorisation. We work through real datasets and real problems — not toy examples — so you can actually apply what you learn. I'll help you build a model from scratch, debug it when it doesn't work, and explain the maths behind why it does or doesn't perform well. For university students, I can also help with assignments, dissertations, and final-year projects. Whether you're just starting out, stuck on a coursework project, or trying to break into ML professionally, I can meet you wherever you are and help you move forward.