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I finished my masters from Germany last year and worked at Airbus in Germany for 1 year as a junior software consultant. Currently I am looking for my PhD in software architecture. According to what I have studied till now I believe that if you want to learn coding then your basics should be strong, languages keep on changing but fundamentals are the same. List of topics : ✅Programming Environment ✅Data Types ✅Variables ✅Keywords ✅Logical and Arithmetical Operators ✅If else conditions ✅Loops ✅Switch case, while ✅Numbers, Characters and Arrays ✅Functions ✅Input and Output Operations ✅SQL ✅UML Multiple programming language introduction: ✅C++ ✅C# ✅Java ✅PHP ✅JavaScript HTML+CSS is Bonus.

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The primary purpose of this class is to provide you with strong insights into coding. I have designed some programming task that contains every scenario of coding. I will teach you first then I will give a similar task. Personally, I will monitor your exercise when you are solving it and I will provide you with the best suggestions and hacks to solve it more efficiently.

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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.

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With over seven years of experience in teaching Computer Science & Information Technology (ICT), I have developed a strong expertise in delivering high-quality education across multiple internationally recognized curricula, including Cambridge IGCSE, GCSE, A-Levels, O-Levels, and Checkpoint. My passion lies in equipping students with coding, cybersecurity, and digital literacy skills, ensuring they are well-prepared for the evolving demands of the digital world. Expertise & Teaching Areas: ✅ Programming & Software Development: Python, Java, C++ ✅ Cybersecurity: Ethical hacking, data protection, network security ✅ Digital Literacy: ICT applications, online safety, cloud computing ✅ Data Science & AI: Data analysis, machine learning fundamentals ✅ Web Development: HTML, CSS, JavaScript Curriculum & Pedagogical Experience: 🔹 Cambridge IGCSE & GCSE ICT & Computer Science – Teaching core and extended syllabi, focusing on programming logic, databases, and networking. 🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development. 🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications. Professional Impact: 📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams. 📌 Developed interactive lesson plans integrating real-world applications of technology. 📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning. 📌 Guided students in project-based learning, including app development and website design. With a strong commitment to student-centered learning and technological innovation, I am dedicated to shaping future tech leaders and empowering learners with skills relevant to careers in technology, data science, and software development.

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While adults are still debating whether kids should use AI, they are already using it. The question isn't "should they?" it's "how do we do it intelligently?" In this course, your child will discover: ✓ What AI actually is: not magic, not mystery. How machines think, what they can do, what they can't ✓ How ChatGPT really works: not just "ask a question and get an answer," but why it responds that way, where it fails, when to trust it ✓ What LLMs are (Large Language Models): in language they understand, not tech jargon ✓ Create with AI: custom avatars, interactive stories, real projects using real tools ✓ Think critically about AI: Bias, privacy, creativity. What does AI do better than humans? What can't it do? ✓ Real-world applications: How AI transforms medicine, education, art, gaming, everyday life Why this is different: Most AI courses for kids teach "here's the tool, use it." I teach how to think about AI. Your child will learn to see AI not as black magic or a solution to everything, but as a powerful tool with real limits. And, more importantly: that they can control how they use it. What they take home: Real projects they created (custom avatar, interactive app, analysis of a real AI case study). A genuine understanding of how it works. And the ability to use AI responsibly and creatively. Format: Online | 60–90 min sessions | Flexible, adapted to their age and pace For curious kids asking "How does ChatGPT actually know things?"

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This preparation session is dedicated to students aiming for preparatory classes for scientific Grandes Ecoles (CPGE), with a particular focus on the subjects of Physics and Engineering Sciences. The goal is to strengthen the foundations and deepen the knowledge to succeed. 1. Mechanics: Kinematics: Study of rectilinear and circular movements, position vectors, speed and acceleration. Dynamics: Newton's laws, work and energy, kinetic energy theorem. 2. Electromagnetism / Electrokinetics: Electrostatics: Electric charges and fields, electric potential, capacitance. Magnetostatics: Magnetic fields, Lorentz forces, electromagnetic induction. Alternating Currents: RLC circuits, resonance, impedance. 3. Thermodynamics: Principles of thermodynamics: Internal energy, heat, work, first and second principles. Ideal and real gases: Equations of state, thermodynamic transformations. 4. Industrial sciences: Automatic Linear, Kinematic, Static. For more information and to register for the preparation session, please contact me. Good preparation and success in your studies! .